Data Scientist: Cleared Talent Community - Maryland

Location:  Ft. Meade, MD

Clearance Required:  TS/SCI with Polygraph

Requisition Type:   Pipeline  - this is  not a current opening  but rather  a talent pipeline for Data Scientists of all levels with polygraph clearances  interested in supporting the U.S. Intelligence Community. When new cleared Data Scientist positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities. Be sure to also apply to any relevant current funded/awarded openings, if available.

People Centered. Data Driven

Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools

We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients' environment and needs.

Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience.

Summary of Position:

We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial intelligence to join our team. In these roles, you will be responsible for developing advanced algorithms and data-driven solutions that address complex challenges.

These positions will be part of our Defense and Intelligence Business unit serving the Intelligence Community as our primary customer.

Essential Functions:

As a Data Scientist, you will:
Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large and complex datasets.
Prototype and evaluate multiple algorithms, selecting the final model based on rigorous performance metrics.
Design and execute experiments or create models to generate data when training datasets are unavailable.
Generate reports and visualizations that provide actionable insights and summarize data findings for clients.
Translate complex data analysis into clear, actionable recommendations.
Collaborate with subject matter experts to automate manual data analysis processes and integrate analytics into production frameworks.
Conduct assessments of clients' preparedness to integrate data analytics into their operations, including technical, cultural, and workforce aspects.
Apply expert knowledge in data science to deliver solutions that address clients' business needs.
Stay current with emerging tools and techniques in machine learning, statistical modeling, and data analytics to continuously improve the quality of your work.
This role requires a self-driven individual capable of working under minimal supervision, with a strong ability to translate raw data into concise and actionable insights. You will work closely with clients, managers, and technical staff to understand business needs and deliver effective, data-driven solutions that enhance decision-making and operational effectiveness.
Job Specifications/Requirements:      A current TS/SCI with Polygraph is required for this role.
BA/BS in Math, Statistics, Engineering, Computer Science, or related field
Proficiency with Python and R.
Experience using large data sets to solve problems.
Knowledge of and experience with machine learning, data wrangling, advanced statistical data analysis and modeling.
Ability to communicate complex models and concepts effectively in non-technical language.
Desired Skills:     Bachelors Degree with 4+ years of relevant experience.
Masters Degree with 2+ years of relevant experience.
PhD. with 1+ years of relevant experience.
Familiarity with commercial and open-source data science software.
Familiarity with relational databases: Oracle, SQL, and ETL tools.

Salary and Benefit Information:

The likely salary range for this position is $117,000-$196,000. This is not, however, a guarantee of compensation or salary. Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range.

Elder Research values continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off.

About Elder Research, Inc

Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.

Elder Research believes in continuous learning and community - each week the entire company attends a "Tech Talk" and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Elder Research is a Government contractor and many of our positions require US Citizenship.

Career Opportunities with Elder Research
A great place to work.
Careers At Elder Research
Current job opportunities are posted here as they become available.
Clearance Required: Must be a US Citizen and eligible to obtain a Public Trust clearance
CANDIDATE MUST BE LOCATED near the Washington DC Metro Area | HYBRID
Summary of Position:
Elder Research is seeking a Senior Data Scientist to support our work for the Centers for Medicare & Medicaid Services (CMS) through our GovCiv Business Unit.
Anticipated outcomes for this work include progress towards:
Developing improved risk adjustment methodologies using AI that are rigorously derived, thoroughly tested, and defensible, and have the potential to inspire confidence among stakeholders;
Devising AI algorithms that can assist CMS in understanding and addressing coding intensity and risk score growth to improve on CMS’ existing policies to account for coding intensity;
More accurately understanding the “optimal” cost of care for a given beneficiary in the context of health equity and improving care access and quality for underserved beneficiaries;
Accounting for practical considerations by identifying and preventing or mitigating potential unintended consequences that could arise from AI-assisted risk adjustment and coding intensity adjustment.
Develop and train advanced machine learning models, with a focus on building recommendation systems and enhancing predictive accuracy.
Perform feature engineering to improve model performance and adapt to various data sources and structures.
Leverage expertise in Large Language Models (LLMs) and Natural Language Processing (NLP) to create intelligent, context-aware applications.
Apply machine learning and deep learning techniques, particularly with neural networks, for tasks such as time-series forecasting and complex data analysis.
Maintain a strong focus on ML development best practices, including data preparation, model evaluation, and continuous improvement.
Essential Functions:
Participate in meetings as appropriate to support the program goals.
Perform literature research on mutually identified areas of interest to support program goals.
Suggest potential statistical, machine learning, and AI analytical approaches, methodologies and techniques that might further progress against the anticipated outcomes described above.
Research, review, and discuss topics related to the program.
Provide suggestions on the application of statistical and machine learning algorithms to the analysis being performed.
Provide feedback and guidance on the use of algorithms and formulas used in computer code for training machine learning and AI models or deriving statistics for output.
Review and provide feedback on analysis outputs performed by other members of the team.
Perform data preparation tasks to apply transformations needed for statistical analysis, machine learning, and/or AI analytical approaches.
Create technical artifacts such as scripts or notebooks to perform potential statistical, machine learning, and AI analytical approaches.
Manage source code versioning with available tools such as Github.
Perform quality control (QC) checks on developed code and assist in QC initiatives on the project as appropriate.
Prepare materials such as presentation slides or reports for discussion on technical topics.
Assist in the development of documents such as the Analysis Plan and Findings Report which could include drafting, editing, or reviewing sections of the document.
Job Specifications/Requirements:
4-5+ years of relevant experience
MS Degree in computer science, engineering, statistics, mathematics, or related discipline
Core SDS & DS capabilities in Data Science & Machine Learning
Desired Skills:
PhD in computer science, engineering, statistics, mathematics, or related discipline would be a positive differentiator
Healthcare work
ICD-10 data
Commercial experience (Healthcare Clients is a bonus but Other Industries are ok)
Highly categorical
Baselines to xgboosts
Deep learning, especially text
Transformers and Long Short-Term Memory (LSTM)
Recommender models on high dimensional sparse data
About Elder Research, Inc
Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.
Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong teamwork.
Elder Research believes in continuous learning and community - each week the entire company attends a “Tech Talk” and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Elder Research is a Government contractor and many of our positions require US Citizenship.

#J-18808-Ljbffr

Job Title: Data Scientist Location: Falls Church, Pentagon, Alexandria, or Arlington Workplace: Hybrid(must be able to commute to one of the above offices 2-3 times per week) Clearance Required: must have an active Top-Secret (TS) clearance (must be able to achieve a TS/SCI clearance with scope) Position Overview: Supports the Department of Defense's (DoD) Chief Digital and Artificial Intelligence Officer's (CDAO) Mission Analytics / Core Analytics Products, Search Products Portfolio, and Unstructured Data Search Enhanced by AI/ML (UD/SEAM). Major Duties/Tasks: Designs, configures, develops, tests, and supports informatics and data science solutions for a wide array of technical use cases; Collaborate with cross-functional teams, including data scientists and software engineers to integrate AI solutions developed by other elements of CDAO or the DoD community into Search Portfolio products when appropriate Optimize AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks, specifically Apache Spark/Databricks. Ability to adapt code base to also run using GPU enabled Kubernetes clusters. Stay updated on and contribute to the latest advancements in AI research, applying new findings to improve Search Portfolio products Manage the lifecycle of AI/ML components used in Search Portfolio products from research and development to deployment and optimization Applies analytical methodologies to diagnose data-related challenges, implement solutions, and evaluate performance; Documents and presents requirements, design alternatives, and findings to team members and clients; Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships; and Experience with integrated development environments, data integration, data visualization, data mining, and analysis tools. Maintains and guides the development of common libraries and tools used by multiple teams. Aids in formulating a strategy on how to achieve rapid prototyping Requirements: Required Education: Bachelor's degree plus 7-10 years experience, or a Masters Degree plus 5 years of experience. Required Skills/Experience: Experience with ML fields, e.g., natural language processing, computer vision, statistical learning theory Hands-on experience with Natural Language Processing (NLP), Large Language Models, text embedding, semantic query, use of generative AI for text, and retrieval augmented generation (RAG) Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks Experience with version control systems like Git, enabling effective collaboration and code management Experience in an ML engineer or data scientist role building ML models Experience writing code in Python, R, Scala, Java, C++ with documentation for reproducibility Experience using Apache Spark/Databricks distributed compute environments for AI/ML workloads Experience handling petabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models Experience with cloud-based data persistence products, especially RDS PostgreSQL and PostgreSQL extensions such as pgvector. Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations Experience with multi-intelligence and multi-domain systems and understanding of current object and activity-based models in the community. Preferred Skills and Qualifications: An active TS/SCI clearance Experience with: the DoD's CDAO, Advana, or other CDAO products Agile methodology AI-enhanced search AI/ML for information retrieval and insight extraction About Elder Research, Inc People Centered. Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a "Tech Talk" and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

Data Scientist Location of Role - Washington, DC Metro Hybrid - Must be located in the DC Metro area to attend regularly scheduled meetings Clearance Required: Public Trust (IRS) Hybrid Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools. We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients' environment and needs. Summary of Position: As a Data Scientist, you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods and other emerging technologies. This position will be part of our Government Civilian Team serving Federal Civilian agencies as our primary customers. Elder Research is a Government contractor and our positions require US Citizenship. Essential Functions: <ul> <li>Exploring, cleaning, and wrangling data to provide value-added insights and identify business problems suitable for Data Science solutions</li> <li>Experience across the spectrum of design, develop, test, and implement quantitative and qualitative Data Science solutions that are modular, maintainable, resilient to industry shifts, and platform-agnostic</li> <li>Demonstrated experience using statistical and analytical software (including but not limited to Python, R, and SQL)</li> <li>Analyzing events across government, financial industries, law enforcement, and other similar data environments prioritizing them by compliance and business risk and displaying the results in evidence-driven monitoring and decision support tools.</li> <li>Experience in quantitative statistical approaches to anomaly detection to identify non-compliance risk, fraud, and cyber threats using data discovery, predictive analytics, trend analysis, assessment, and appropriate contemporary and emerging analytical techniques.</li> <li>Ability to conduct rigorous quantitative data analysis on very large quantitative data sets to develop insights and develop actionable recommendations due to previous experience developing strategies, performing assessments, gap analyses, and making actionable recommendations</li> <li>Contribute to meetings and discussions with clients and co-workers to refine understanding of the business problem at hand</li> <li>Trying different predictive modeling approaches to identify the best fit for a given set of business understanding, available data, and project timeline</li> <li>Writing modular, understandable, re-usable code within an iterative development process that includes team-based code review, client discussions, and end-user training</li> <li>Applying statistical tests for robustness, sensitivity, and significance to test and validate supervised and unsupervised models</li> <li>Preparing presentations, writing reports (technical and non-technical), and working to communicate technical results to clients with varying levels of analytic sophistication</li> <li>Ability to work autonomously in a collaborative, dynamic, cross-functional environment</li> <li>Demonstrated business savvy with solid interpersonal and communication skills (written and verbal).</li> <li>Experience with design and delivery capabilities with proficiency in gathering requirements and translating business requirements into technical specification. </li></ul>Job Specifications/Requirements: <ul> <li>Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,)</li> <li>1+ years of experience in data science, data analytics, or a related technical field</li> <li>Prior computer programming experience, preferably in a language such as Python or R</li> <li>Experience with data exploration, data munging, data wrangling, and model development in R or Python</li> <li>Experience using version control (e.g. git, svn, Mercurial) and collaborative Basic understanding of relational database structure and SQL</li> <li>Humble and willing to learn, teach, and share ideas</li> <li>Experience engaging and interacting with clients, stakeholders and subject matter experts (SMEs) to understand, gather and document requirements</li> <li>Comfortable learning new things and working outside of your comfort zone</li> <li>Technical mindset - you are not afraid of math!</li> <li>Must currently possess a Public Trust clearance</li> <li>Travel to and work on-site at clients both local and non-local. Number of days at client site vary depending on project requirements. </li></ul>Desired Skills <ul> <li>Advanced degree (MS or PhD) in a relevant field (e.g., statistics, computer science, business, mathematics, analytics, data science, engineering, physics, social sciences, management information systems, or decision science, etc.,)</li> <li>Programming techniques (e.g. pair programming, code reviews)</li> <li>Experience with containerization and environment management (venv or conda)</li> <li>Experience with Natural Language Processing (NLP) and advanced text mining techniques</li> <li>Experience with graph analytics and network analysis</li> <li>Experience with one or more technologies such as R Shiny, Databricks, AWS, Azure</li> <li>Experience applying robust, established and emerging quantitative & statistical techniques, knowledgeable on the underlying theoretical and architectural frameworks in the fields of applied analytics, and statistical analysis to include: sampling considerations & survey design like construct validity, measurement bias, as well as internal & external validity, statistical weighting techniques, approaches to outlier and missing data, and exploratory data analysis, cross-sectional analysis, and longitudinal forecasting</li> <li>Experience implementing data science processes in a remote, austere environment to include using bash</li> <li>Experience with business intelligence and data visualization platforms (Power BI, Tableau, etc.,)</li> <li>Understanding of the data analytics lifecycle (e.g. CRISP-DM) </li></ul> Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. To be considered for this position, you must be eligible to legally obtain a US Public Trust.

Data Scientist

Location: Ft. Meade, MD

Clearance Required:   TS/SCI with Poly

People Centered. Data Driven

Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools.

We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients' environment and needs.

Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience.

Position Responsibilities:

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.

Required Degree and Experience:
Bachelor Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) + 7 years of experience, Masters Degree + 5 years of experience, or PhD + 2 years of experience
Required Skills:     Programming experience with data analysis software such as R, Python, SAS, or MATLAB.
Develop experiments to collect data or models to simulate data when required data are unavailable.
Develop feature vectors for input into machine learning algorithms.
Identify the most appropriate algorithm for a given dataset and tune input and model parameters.
Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).
Oversee the development of individual analytic efforts and guide team in analytic development process.
Guide analytic development toward solutions that can scale to large datasets.
Partner with software engineers and cloud developers to develop production analytics.
Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.

Salary and Benefit Information:

The likely salary range for this position is $117,000-$196,000. This is not, however, a guarantee of compensation or salary. Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range.

Elder Research values continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off.

About Elder Research, Inc

Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business over 20 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Elder Research is a Government contractor and our positions require US Citizenship.

Career Opportunities with Elder Research
A great place to work.
Careers At Elder Research
Current job opportunities are posted here as they become available.
Data Scientist; Cleared Talent Community - Virginia   Data Scientist (Cleared Talent Community - Virginia)
Locations:  McLean-VA, Chantilly-VA, or Reston-VA
Clearance Required:  TS/SCI with Polygraph
Requisition Type: Pipeline  – this is   not a current opening   but rather  a talent pipeline for Data Scientists of all levels with polygraph clearances  interested in supporting the U.S. Intelligence Community.
Position Responsibilities:
Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large and complex datasets.
Prototype and evaluate multiple algorithms, selecting the final model based on rigorous performance metrics.
Design and execute experiments or create models to generate data when training datasets are unavailable.
Generate reports and visualizations that provide actionable insights and summarize data findings for clients.
Translate complex data analysis into clear, actionable recommendations.
Collaborate with subject matter experts to automate manual data analysis processes and integrate analytics into production frameworks.
Apply expert knowledge in data science to deliver solutions that address clients' business needs.
Conduct assessments of clients' preparedness to integrate data analytics into their operations.
Stay current with emerging tools and techniques in machine learning, statistical modeling, and data analytics.
This role requires a self-driven individual capable of working under minimal supervision, with a strong ability to translate raw data into concise and actionable insights.
Required Degree and Experience:
Educational Background:
Bachelor’s Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) with 1-2+ years of relevant work experience.
Or, a Master’s Degree with 1+ years of relevant work experience.
Or, a PhD with 0+ years of relevant work experience.
Required Skills:
Proficiency with data analysis tools and programming languages such as R, Python, SAS, MATLAB, Java, C++, or SQL.
Experience in developing experiments to collect or simulate data when required data is unavailable.
Knowledge of machine learning, statistical modeling, and data wrangling.
Proficiency with big data technologies such as AWS, Azure, NoSQL databases (e.g., MongoDB, DynamoDB, Redis), Hadoop, or Spark.
Strong ability to communicate complex models and concepts to non-technical stakeholders.
Required Clearance:
Active TS/SCI clearance with a Polygraph
Desired Skills:
Familiarity with relational databases (e.g., Oracle, PostgreSQL).
Proficiency with unsupervised, semi-supervised, and supervised learning algorithms and technologies.
Understanding of the data science lifecycle (e.g., CRISP-DM).
Work Schedule:
Ability to work on-site for 36-40 hours during a typical week.
Travel:  less than 10%
About Elder Research, Inc
Elder Research is a fast-growing consulting firm specializing in predictive analytics. We pride ourselves in our ability to find creative, cutting-edge solutions to real-world problems.
Elder Research believes in continuous learning and community - each week the entire company attends a “Tech Talk” and provides a supportive work environment.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status.

#J-18808-Ljbffr

Data Scientist (Cleared Talent Community - Virginia)

Locations:  McLean-VA, Chantilly-VA, or Reston-VA

Clearance Required:  TS/SCI with Polygraph

Requisition Type: Pipeline  - this is  not a current opening  but rather  a talent pipeline for Data Scientists of all levels with polygraph clearances  interested in supporting the U.S. Intelligence Community. When new cleared Data Scientist positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities. Be sure to also apply to any relevant current funded/awarded openings, if available.

People Centered. Data Driven.

Elder Research Inc. is a premier Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools.

We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions that fit our clients' environment and needs.

Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience.

Position Responsibilities:
We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial intelligence to join our team. In these roles, you will be responsible for developing advanced algorithms and data-driven solutions that address complex challenges.

As a Data Scientist, you will:
Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large and complex datasets.
Prototype and evaluate multiple algorithms, selecting the final model based on rigorous performance metrics.
Design and execute experiments or create models to generate data when training datasets are unavailable.
Generate reports and visualizations that provide actionable insights and summarize data findings for clients.
Translate complex data analysis into clear, actionable recommendations.
Collaborate with subject matter experts to automate manual data analysis processes and integrate analytics into production frameworks.
Apply expert knowledge in data science to deliver solutions that address clients' business needs.
Conduct assessments of clients' preparedness to integrate data analytics into their operations, including technical, cultural, and workforce aspects.
Stay current with emerging tools and techniques in machine learning, statistical modeling, and data analytics to continuously improve the quality of your work.
This role requires a self-driven individual capable of working under minimal supervision, with a strong ability to translate raw data into concise and actionable insights. You will work closely with clients, managers, and technical staff to understand business needs and deliver effective, data-driven solutions that enhance decision-making and operational effectiveness.
Required Degree and Experience:       Educational Background:
Bachelor's Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) with 1-2+ years of relevant work experience.
Or, a Master's Degree with 1+ years of relevant work experience.
Or, a PhD with 0+ years of relevant work experience.
Relevant Experience:
Experience in applied research, big data analytics, statistics, data science, computer science, operations research, machine learning, or related quantitative disciplines.
Required Skills:       Programming & Data Analysis:
Proficiency with data analysis tools and programming languages such as R, Python, SAS, MATLAB, Java, C++, or SQL.
Experience in developing experiments to collect or simulate data when required data is unavailable.
Ability to develop feature vectors for machine learning algorithms and identify, tune, and evaluate the most appropriate algorithms.
Machine Learning & Statistical Analysis:
Knowledge of machine learning, statistical modeling, and data wrangling.
Experience in developing, training, and validating machine learning models.
Ability to develop data-driven solutions, data models, and visualizations.
Advanced Analytics & Big Data:
Proficiency with big data technologies such as AWS, Azure, NoSQL databases (e.g., MongoDB, DynamoDB, Redis), Hadoop, or Spark.
Familiarity with cloud-based distributed database technologies like Databricks and tools like PySpark.
Communication & Collaboration:
Strong ability to communicate complex models and concepts to non-technical stakeholders.
Comfortable working and collaborating in dynamic environments.
Required Clearance:      Active TS/SCI clearance with a Polygraph
Desired Skills:      Familiarity with relational databases (e.g., Oracle, PostgreSQL).
Proficiency with unsupervised, semi-supervised, and supervised learning algorithms and technologies.
Understanding of the data science lifecycle (e.g., CRISP-DM).
Some positions may desire experience in applying AI/ML techniques to solve cybersecurity challenges.
Some positions may desire experience applying data science methods to cybersecurity problems.
Some position may prefer a Security+ certification.
Capable of building models for deployment in real-time environments and supporting the cybersecurity mission space.
Strong background in developing predictive models and quantitative simulations.
Experience in consulting, including organizational and technology assessments.
Work Schedule:      Ability to work on-site for 36-40 hours during a typical week.

Travel:  less than 10%

About Elder Research, Inc

Elder Research is a fast-growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting-edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong teamwork.

Elder Research believes in continuous learning and community - each week the entire company attends a "Tech Talk" and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Elder Research is a government contractor and many of our positions require US Citizenship.

Senior Data Scientist

Clearance Required: Must be a US Citizen and eligible to obtain a Public Trust clearance

CANDIDATE MUST BE LOCATED near the Washington DC Metro Area | HYBRID

Data Driven. People Centered.

Summary of Position:

Elder Research is seeking a Senior Data Scientists to support our work for the Centers for Medicare & Medicaid Services (CMS) through our GovCiv Business Unit.

Anticipated outcomes for this work include progress towards:
Developing improved risk adjustment methodologies using AI that are rigorously derived, thoroughly tested, and defensible, and have the potential to inspire confidence among stakeholders;
Devising AI algorithms that can assist CMS in understanding and addressing coding intensity and risk score growth to improve on CMS' existing policies to account for coding intensity;
More accurately understanding the "optimal" cost of care for a given beneficiary in the context of health equity and improving care access and quality for underserved beneficiaries;
Accounting for practical considerations by identifying and preventing or mitigating potential unintended consequences that could arise from AI-assisted risk adjustment and coding intensity adjustment.
Develop and train advanced machine learning models, with a focus on building recommendation systems and enhancing predictive accuracy.
Perform feature engineering to improve model performance and adapt to various data sources and structures.
Leverage expertise in Large Language Models (LLMs) and Natural Language Processing (NLP) to create intelligent, context-aware applications.
Apply machine learning and deep learning techniques, particularly with neural networks, for tasks such as time-series forecasting and complex data analysis.
Maintain a strong focus on ML development best practices, including data preparation, model evaluation, and continuous improvement.
Essential Functions:      Participate in meetings as appropriate to support the program goals.
Perform literature research on mutually identified areas of interest to support program goals.
Suggest potential statistical, machine learning, and AI analytical approaches, methodologies and techniques that might further progress against the anticipated outcomes described above. Including, but not limited to, the description, literature review, documentation, and communication of those potential approaches.
Research, review, and discuss and topics related to topics of interest to the program.
Provide suggestions on the application of statistical and machine learning algorithms to the analysis being performed such as the choice of statistical model and hyper parameters, predictive features, and definition of the target variable(s).
Provide feedback and guidance on the use of algorithms and formulas used in computer code for training machine learning and AI models or deriving statistics for output.
Review and provide feedback on analysis outputs performed by other members of the team. The analysis outputs might include statistical output, slides, or documentation of results and findings.
Perform data preparation tasks to apply transformations needed for statistical analysis, machine learning, and/or AI analytical approaches.
Create technical artifacts such as scripts or notebooks to perform potential statistical, machine learning, and AI analytical approaches.
Manage source code versioning with available tools such as Github.
Perform quality control (QC) checks on developed code and assist in QC initiatives on the project as appropriate.
Prepare materials such as presentation slides or reports for discussion on technical topics.
Assist in the development of the documents such as the Analysis Plan and Findings Report which could include drafting, editing, or reviewing sections of the document.
Job Specifications/Requirements:      4-5+ years of relevant experience
MS Degree in computer science, engineering, statistics, mathematics, or related discipline
Core SDS & DS capabilities in Data Science & Machine Learning
Desired Skills:      PhD in computer science, engineering, statistics, mathematics, or related discipline would be a positive differentiator
Healthcare work
Claims data
ICD-10 data
Commercial experience (Healthcare Clients is a bonus but Other Industries are ok)
Highly categorical
Baselines to xgboosts
Deep learning, especially text
Transformers and Long Short-Term Memory (LSTM)
Embedding models
Recommender models on high dimensional sparse data

About Elder Research, Inc

Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.

Elder Research believes in continuous learning and community - each week the entire company attends a "Tech Talk" and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Elder Research is a Government contractor and many of our positions require US Citizenship.

Data Scientist

Location of Role - Washington, DC Metro

Hybrid - Must be located in the DC Metro area to attend regularly scheduled meetings

Clearance Required: Public Trust (IRS)

Hybrid

Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools. We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients' environment and needs.

Summary of Position:

As a Data Scientist, you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods and other emerging technologies.

This position will be part of our Government Civilian Team serving Federal Civilian agencies as our primary customers.  Elder Research is a Government contractor and our positions require US Citizenship.

Essential Functions:
Exploring, cleaning, and wrangling data to provide value-added insights and identify business problems suitable for Data Science solutions
Experience across the spectrum of design, develop, test, and implement quantitative and qualitative Data Science solutions that are modular, maintainable, resilient to industry shifts, and platform-agnostic
Demonstrated experience using statistical and analytical software (including but not limited to Python, R, and SQL)
Analyzing events across government, financial industries, law enforcement, and other similar data environments prioritizing them by compliance and business risk and displaying the results in evidence-driven monitoring and decision support tools.
Experience in quantitative statistical approaches to anomaly detection to identify non-compliance risk, fraud, and cyber threats using data discovery, predictive analytics, trend analysis, assessment, and appropriate contemporary and emerging analytical techniques.
Ability to conduct rigorous quantitative data analysis on very large quantitative data sets to develop insights and develop actionable recommendations due to previous experience developing strategies, performing assessments, gap analyses, and making actionable recommendations
Contribute to meetings and discussions with clients and co-workers to refine understanding of the business problem at hand
Trying different predictive modeling approaches to identify the best fit for a given set of business understanding, available data, and project timeline
Writing modular, understandable, re-usable code within an iterative development process that includes team-based code review, client discussions, and end-user training
Applying statistical tests for robustness, sensitivity, and significance to test and validate supervised and unsupervised models
Preparing presentations, writing reports (technical and non-technical), and working to communicate technical results to clients with varying levels of analytic sophistication
Ability to work autonomously in a collaborative, dynamic, cross-functional environment
Demonstrated business savvy with solid interpersonal and communication skills (written and verbal).
Experience with design and delivery capabilities with proficiency in gathering requirements and translating business requirements into technical specification.
Job Specifications/Requirements:     Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,)
1+ years of experience in data science, data analytics, or a related technical field
Prior computer programming experience, preferably in a language such as Python or R
Experience with data exploration, data munging, data wrangling, and model development in R or Python
Experience using version control (e.g. git, svn, Mercurial) and collaborative Basic understanding of relational database structure and SQL
Humble and willing to learn, teach, and share ideas
Experience engaging and interacting with clients, stakeholders and subject matter experts (SMEs) to understand, gather and document requirements
Comfortable learning new things and working outside of your comfort zone
Technical mindset - you are not afraid of math!
Must currently possess a Public Trust clearance
Travel to and work on-site at clients both local and non-local. Number of days at client site vary depending on project requirements.
Desired Skills     Advanced degree (MS or PhD) in a relevant field (e.g., statistics, computer science, business, mathematics, analytics, data science, engineering, physics, social sciences, management information systems, or decision science, etc.,)
Programming techniques (e.g. pair programming, code reviews)
Experience with containerization and environment management (venv or conda)
Experience with Natural Language Processing (NLP) and advanced text mining techniques
Experience with graph analytics and network analysis
Experience with one or more technologies such as R Shiny, Databricks, AWS, Azure
Experience applying robust, established and emerging quantitative & statistical techniques, knowledgeable on the underlying theoretical and architectural frameworks in the fields of applied analytics, and statistical analysis to include: sampling considerations & survey design like construct validity, measurement bias, as well as internal & external validity, statistical weighting techniques, approaches to outlier and missing data, and exploratory data analysis, cross-sectional analysis, and longitudinal forecasting
Experience implementing data science processes in a remote, austere environment to include using bash
Experience with business intelligence and data visualization platforms (Power BI, Tableau, etc.,)
Understanding of the data analytics lifecycle (e.g. CRISP-DM)

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

To be considered for this position, you must be eligible to legally obtain a US Public Trust.

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