Summary This position is located in Office of the Chief Information Officer, (OCIO) Data, Information Management, and Enterprise Governance Division, (DIME). The supervisor is Basia Sall. This position is Bargaining Unit. This position IS subject to Confidential Financial Disclosure reporting requirements. This position IS subject to security ownership restriction reporting requirements. Responsibilities The successful candidate will perform the full range of Senior Data Scientist duties. Such duties include but are not limited to: Leading the development and implementation of data policies, standards, and frameworks to ensure data integrity, security, and compliance with regulations. Acting as a liaison between the Chief Data Officer and other business units, advocating for data-centric approaches and solutions. Leading cross-functional teams in the assessment and documentation of current state business processes and data/technical architectures and in the translation of business needs into data/technical requirements. Monitoring and assessing emerging data trends, tools, and technologies to inform the organization’s data strategy. Engaging senior leadership to identify, prioritize, and champion innovation and modernization initiatives. Leading teams to achieve business outcomes by leveraging staff and/or contract resources with junior-to-advanced proficiency in data mining/data analysis methods, modeling, mathematics, statistics, programming languages (e.g., SQL, Python, R), web-based application development (e.g., JavaScript, Java), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI). Demonstrating knowledge of artificial intelligence capabilities for intelligent automation, knowledge discovery, conversational UIs and/or content generation. Preparing written and oral communications for use at all organizational levels. Requirements Conditions of Employment U.S. Citizenship Required This is a Drug Testing position. Background investigation leading to a clearance is required for new hires. You must meet the qualifications for this position by no later than 30 calendar days after the closing date of this announcement and before placement in the position. Qualifications In order to qualify for this position, you must have at least one year of specialized experience at the next lower grade level in the Federal service or equivalent experience in the private or public sector. The ideal candidate will be able to demonstrate the following: Demonstrated experience leading technical and scientific personnel, developing project plans, coordinating overall team efforts, and maintaining appropriate lines of communication to build support for a program. Comprehensive knowledge of concepts, theories, designs and interactions of data science as evidenced by the application of advanced analytical techniques to perform technical evaluations in order to provide expert advice and guidance to NRC management regarding data collection, maintenance, and storage design approaches. Extensive knowledge of governmental data policies, procedures, standards, and authorized system design approaches to facilitate long-range planning and forecasting of data resources. Demonstrated experience gathering and maintaining data, applying data analytics to development of methodological approaches, study design, development of data strategies and data policies, and advanced written, verbal, and visual communications of study / analysis output to support decision-making. Demonstrated experience translating and expressing complex concepts and findings into concise, plain language, both orally and in writing to diverse internal and external stakeholders at all levels in the organization who have varying technical backgrounds. Specialized experience is defined as: Demonstrated experience leading cross-functional teams, staffed by federal civil servants and contractors, composed of professionals skilled in policy analysis, NRC business and regulatory processes, information technology, data engineering, and/or project management disciplines, in order to develop data-driven solutions that address NRC's program and business challenges. Education A degree or a combination of education and experience is required. The degree should be in a major field of study (data science, mathematics, statistics, engineering, or computer science) at least at the baccalaureate level. Courses equivalent to a major field of study (30 semester hours) as shown in the previous sentence, plus additional education or appropriate experience. Applicants can verify accreditation at the following website: https://www.ed.gov/accreditation. Additional Information The duty location of this position is Rockville, MD. In general, employees are expected to be in the office at a minimum of 4 days per pay period. Telework schedules, including full-time telework, are approved, on a case-by-case basis. If selected, telework will be determined in accordance with Agency policy and the Collective Bargaining Agreement, if applicable.

Description    About Us
Capital Bank N.A.  is headquartered in Maryland, and has been serving our communities since 1999. We stand as a publicly traded company (NASDAQ: CBNK) with over $2 billion in assets. We offer commercial and consumer banking services to clients in Maryland, DC, and Northern Virginia, alongside two nation-wide lending brands; Capital Bank Home Loans and OpenSky, a credit card division that offers and services credit cards across all states. Our personalized approach to banking, paired with cutting-edge technology solutions and a comprehensive suite of products and services, fuels our growth, and enables us to support our customers at every stage in their financial journey.

OpenSky , a division of Capital Bank, NA, is an issuer of secured credit cards. We provide an entry-level credit product for consumers with a need to build or establish a credit history. The business is going through a phase of investment and rapid growth. OpenSky is a dynamic and entrepreneurial environment where you are limited only by your imagination. Being a data-driven business, OpenSky is building out a robust analytics team.

Come join a bank where our employees thrive and are engaged in meaningful work. For the last 4 out of 5 years, Capital Bank was named one of the "Best Banks to Work For" in the U.S. by American Banker.

Position Purpose
The Senior Data Scientist will build and maintain customer valuation models, as well as analyze and optimize customer acquisition and retention strategies. You will be constantly seeking opportunities to improve response rates, lower acquisition costs, reduce process cycle times and optimize revenue. This role will analyze the strategic landscape to find areas where we should be competing, including financial product offerings, service offerings and technologies.

Position Responsibilities

Build and maintain customer valuation models

Analyze customer segments for targeting purposes

Analyze current customer base for retention programs and cross-sell opportunities

Analyze business intelligence data and provide insights that drive potential new tactics and strategies

Partner across the organization and with external vendors to initiate, prioritize, scope, design and deliver new programs

Minimum Education and Experience

4 to 8 years work experience in an analytical environment

High aptitude for problem solving

Ability to connect analysis to business solutions

Proven analytical and critical thinking skills, with extreme attention to detail

Capacity to prioritize and manage multiple tasks simultaneously without sacrificing quality

Must be an entrepreneurial spirit and thinker, capable of working in a highly fluid, fast-paced environment

Technical Knowledge and Skills

"Data Fluent" with exposure or basic skills in SQL and / or other data tools

Advanced Excel user, including Pivot Tables, Lookups, Formulas, Graphs

Experience in building financial and valuation models

Education

Bachelor's degree

Working Arrangements

This is a hybrid role expected to work in office Monday, Tuesday, Thursday, and Friday. You will be able to work remotely on Wednesday.

Compensation

Base Salary Range: $120,335 - $180,502 annually. Final determination of where you are at in the salary range is based on numerous factors such as relevant experience, skill set, education, and ability to meet qualifications within the job description.

Additional Compensation: This role will include a yearly annual target bonus based on individual performance.

Why Join Us?

Join a growing company with a culture that fosters an entrepreneurial spirit

Comprehensive benefits package  including Medical, Dental, Vision, Company Paid Life Insurance, Disability Insurance, and more!

Company Contributions to your 401k - Regardless of your contribution

Employee Perks:  Paid Parental Leave, Employee Recognition Program, Leadership Program, Tuition Reimbursement Program, Employee Bank Checking Account, and much more!

Generous Paid Time Off and Paid Holidays - Including Paid Charity Hours to support volunteer opportunities

Supporting Businesses. Helping People. Strengthening Communities.
Capital Bank, N.A. is an Affirmative Action, E-Verify, and Equal Opportunity Employer.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
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Job DescriptionJob Description

Available for W2 or 1099, No C2C
Title: Data Scientist
Location: Remote in the US
Term: Long-term Contract

We are looking for a Data Scientist that will help us Client the information hidden in vast amounts of structured and unstructured data, and help us make smarter decisions to solve business problems. The primary focus is in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our solutions.

JD:
Responsibilities:

Enhancing data collection procedures to include information that is relevant for building analytic systems

Processing, cleansing, and verifying the integrity of data used for analysis

Define approaches for data mining

Extending company's data with third party sources of information when needed

Doing ad-hoc analysis and R&D involving operating heterogeneous data sets

Creating automated anomaly detection systems and constant tracking of its performance

Skills and Qualifications:

PhD in Data Science, Computer Science, Statistics or other related fields

Real world experience of solving business problems using machine learning, data mining, data analysis

Data-oriented personality

Excellent understanding of machine learning techniques and algorithms

Experience with common data science toolkits (such as R, Weka, NumPy, MatLab, etc.)

Great communication skills

Experience with data visualization tools

Good applied statistics skills, such as distributions, statistical testing, regression, etc.

Thanks for applying!

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<p>Description Looking for a rewarding career challenge?Unleash your potential at Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customer’s success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. With Leidos, you will enjoy competitive benefits such as Paid Time Off, Flexible Schedules, Discounted Stock Purchase Plans, Education and Training Support, Parental Paid Leave, and more!If this sounds like an environment where you can thrive, keep reading!Are you ready to join an incredible team? This contract is critical to the government and allows team members to work independently and in a team environment to achieve success. If you are passionate, motivated, and want to be part of an organization that values your contributions, we want to hear from you.Apply today!Your greatest work is ahead!The Leidos National Security Sector uses a wide range of capabilities to support our customers’ mission to defend against evolving threats around the world. Our team’s focus is ensuring our intelligence customers have the right tools, technologies, and tactics to keep pace with an ever-evolving security landscape and succeed in their pursuit to protect people and critical assets. If this sounds like an environment where you can thrive, apply today!We are looking for a Data Scientist with an entrepreneur’s mindset to support a fast-paced and growing data science team working on projects critical to National Security. The position is located within a classified space in the Northern Virginia area and requires an active TS/SCI with Polygraph security clearance.The Data Scientist will be expected to build statistical models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings. The Data Scientist will perform research on various data sources, to include unstructured data using quantitative and qualitative content analytics. The Scientist will construct and perform complex database search queries in multiple databases using SQL and API interfaces. The Scientist will perform web scraping and apply various techniques for processing unstructured data. The Scientist will leverage automation and machine learning to manage data, predict scenarios and make recommendations. The Data Scientist will contribute to building new analytical tools and packages across the enterprise and will be expected to collaborate with team members in a highly technical environment. The Data Scientist will be expected to learn and leverage emerging technologies including AWS and Git.Requirement:Experience with Python required.TS/SCI clearance with polygraph is required.Demonstrated experience using supervised and unsupervised learning and natural language processing machine learning techniques required.Experience / familiarity with frequentist statistics and probability including predicative modeling.Experience working with data manipulation, analytic/business insight tools, and data visualization experience required.Experience constructing and performing complex database search queries.Experience/ knowledge of computer science concepts, data architecture, and experience/knowledge of statistics.Experience with visualizing data using popular packages including Tableau, Plotly, Seaborn and/or Matplotlib required.Ability to communicate technical findings to non-technical audiences.Requires BS degree and 12 – 15 years of prior relevant experience or master’s with 10 – 13 years of prior relevant experience. May possess a Doctorate in technical domainOriginal Posting Date:2024-12-19While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.Pay Range:Pay Range $126,100.00 - $227,950.00The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.</p>

Job Description

The World at Abt

Solving the world's most pressing issues and improving the quality of life for people worldwide is what we do every day at Abt Global. Creating a more equitable world is no small task, but we are driven by big challenges.

We are a team of 3,000+ people in over 50 countries working in unison and focused on the bigger picture. Only by sharing our commitment, energy, and innovation do we affect change and push the boundaries of what's possible. We welcome diverse ideas, backgrounds, and viewpoints - joining Abt means access to exceptional thinkers at the top of their game.

To thrive at Abt is to embrace flexibility and collaboration. Our open culture allows you to balance your work and personal life as needed to optimize personal well-being. Creating a more equitable world starts from within - we look after people around the world, and we'll do the same for you.

Ready to embrace rewarding and meaningful work? Now's your chance.

The Opportunity

Abt Global is seeking a data scientist to join its growing team in the Digital and Data Services (DDS) Division. This division plays a key role within Abt providing data science methods, artificial intelligence (AI), and automation tools to a broad range of U.S. government agencies. Much of this work is focused on data modernization and analysis in areas such as healthcare, public health, housing, the environment, and human services.

The Medicaid Data Scientist works with internal colleagues and external clients to answer complex technical questions. They will perform data cleaning and automated scripts, analyze textual and numerical data, and may utilize various tools to deploy generative AI, natural language processing, and machine learning workflows. This specialized Medicaid position will work in the CMS data ecosystem, with much analysis occurring in the CMS Cloud and CMCS's DataConnect environment.

The selected candidate must be experienced in data science methods, with preference given to experience with Python. Experience with TMSIS data or other types of healthcare claims or electronic health record (EHR) data is preferred.

The Medicaid Data Scientist may work on-site in Abt's offices in any of Atlanta, GA, Cambridge, MA, Durham, NC, or Rockville, MD in a hybrid remote/in-person status, or full-time remote from within the US.

Core Responsibilities

The successful hire will be able to perform the following functions and have the following mix of experience and skills:
Lead tasks, including organizing work plans and delegating work, with minimal supervision.
Develop technical solutions to complex problems through ingenuity and innovation.
Collect data from various sources, such as APIs, and perform data management tasks.
Support data modernization efforts and develop/improve automated data workflows.
Experience with generative AI, natural language processing, and/or machine learning methods.
Programming proficiency in Python, SQL, and version control (git) software.
What We Value     PhD in Health Informatics or similar degree with 0 years experience, or Masters + 3 years experience or Bachelors + 5 years experience, OR the equivalent combination of education and experience.
Experience working with healthcare claims data, EHR data, or TMSIS data.
Must have a current CMS PIV card or the ability to successfully obtain one.
CMS experience, or other government or public sector experience strongly preferred.
Experience with TMSIS data (Medicaid data) is strongly preferred.
Strong writing, presentation, and interpersonal communication skills.

What We Offer

We foster an environment where you can Thrive Your Way. Our innovative total rewards programs are designed to help balance your work and personal life. The approach toward your wellbeing centers around comprehensive benefits, flexible schedules, and professional development.

Abt Global is an Affirmative Action/Equal Opportunity employer committed to fostering a diverse workforce. Abt Global provides market-competitive salaries and comprehensive employee benefits. Local candidates strongly encouraged to apply.

This position offers an anticipated annual base salary range of approximately $83,000 to $132,000 and may vary by ten percent depending on candidate geographic location. Salary offers are made based on internal equity and market analysis.

Disclaimer: Abt Global will never ask candidates for money in exchange for an offer of employment.

#LI-Remote #LI-Hybrid

Clearance Required:TS/SCI with Full Scope Poly Relocation assistance:NoVisa sponsorship eligibility:NoA 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's 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 will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range.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.

Data Scientist Jobs in Rockville, MD

Sr Data Scientist Government Wide
December 29, 2024

Sr Data Scientist
December 24, 2024

Senior Data Scientist
December 21, 2024

Data Scientist
December 21, 2024

Data Scientist
December 20, 2024

Medicaid Data Scientist 3
December 19, 2024

Data Senior Data Scientist
December 16, 2024

Data Scientist
December 16, 2024

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Data Scientist Jobs in Rockville, MD

Sr Data Scientist Government WideDecember 29, 2024

Sr Data ScientistDecember 24, 2024

Senior Data ScientistDecember 21, 2024

Data ScientistDecember 21, 2024

Data ScientistDecember 20, 2024

Medicaid Data Scientist 3December 19, 2024

Data Senior Data ScientistDecember 16, 2024

Data ScientistDecember 16, 2024