About the job Data Scientist Clearance Required: TS/SCI with Full Scope Poly My client is a government contractor, and the position requires US Citizenship. Job Summary My client is a Data Science consulting firm specializing 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 their work 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 client's 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 a 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: <ul> <li>Programming experience with data analysis software such as R, Python, SAS, or MATLAB. </li><li>Develop experiments to collect data or models to simulate data when required data are unavailable. </li><li>Develop feature vectors for input into machine learning algorithms. </li><li>Identify the most appropriate algorithm for a given dataset and tune input and model parameters. </li><li>Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices). </li><li>Oversee the development of individual analytic efforts and guide team in analytic development process. </li><li>Guide analytic development toward solutions that can scale to large datasets. </li><li>Partner with software engineers and cloud developers to develop production analytics. </li><li>Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation. </li></ul> Salary and Benefits Information: Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range. We value continuous learning and provide 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.

Do you want to work at the forefront of advanced technology and solve complex data challenges? You know that data yields pivotal insights when its gathered from disparate sources and organized. As a data scientist, you'll have the chance to develop Data Scientist, Data Engineer, Scientist, Data Science, Technology

Data Scientist Position Summary DarkStar Intelligence, LLC is seeking a highly experienced and accomplished Data Scientist to join our team as a Subject Matter Expert (SME). The ideal candidate will possess a deep and comprehensive understanding of data science and analytics, specifically within federal government environments. This role demands expertise in leveraging advanced data analysis, predictive modeling, and machine learning techniques to deliver actionable insights and strategic solutions to complex, data-driven challenges. Location: Fort Meade, MD Schedule (FT/PT): Full-Time Travel Required: No Shift: Day Remote Type: No Remote Security Clearance: Current TS/SCI Polygraph: Current Counterintelligence Polygraph Primary Duties & Responsibilities: <ul><li>Lead the development and implementation of advanced data analysis, predictive analytics, and statistical modeling techniques to address complex problems, driving value and enhancing organizational performance. </li><li>Utilize programming languages such as Python, R, or Java, along with libraries like pandas, NumPy, or TensorFlow, to manipulate vast datasets and build scalable, efficient models. </li><li>Design and create impactful visualizations of analytical insights using tools like Tableau, Power BI, or D3.js, to support senior leadership decision-making and strategy. </li><li>Collaborate extensively with key stakeholders across the organization, delivering data-driven solutions tailored to meet specific operational and strategic objectives. </li><li>Serve as a thought leader in the field of data science, continuously refining and enhancing strategies by staying current with the latest industry trends, tools, technologies, and methodologies. </li><li>Mentor and guide junior data scientists, fostering a culture of continuous learning and development within the team. </li></ul>Minimum Qualifications: <ul><li>Current TS/SCI and CI Polygraph. </li><li>Master's degree in Data Science, Statistics, Computer Science, or a related field is preferred. </li><li>At least 8 to 10 years of experience in data science, analytics, or related fields, with a focus on applications within federal government environments. </li><li>Proficiency in programming languages such as Python, R, or Java, and expertise with data manipulation and analysis libraries (e.g., pandas, NumPy, TensorFlow). </li><li>Demonstrated mastery of statistical and machine learning techniques, including regression, clustering, and classification algorithms. </li><li>Extensive experience in data visualization, with proficiency in using tools such as Tableau, Power BI, or D3.js. </li><li>Proven leadership and collaboration skills, with the ability to guide teams and work with senior stakeholders across complex projects. </li><li>Excellent communication and problem-solving abilities, with a track record of delivering actionable insights in high-stakes environments. </li><li>Relevant certifications, such as Certified Data Scientist (CDS) or Professional Data Engineer (PDE), are highly desirable. </li></ul>Salary Range: $200,000 - $260,000 This pay range is a general guideline and not a guarantee of specific compensation or salary. When extending an offer, DarkStar Intelligence considers various factors, including (but not limited to) the job's responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, market data alignment, applicable bargaining agreements (if any), and other relevant laws. About DarkStar Intelligence DarkStar Intelligence is a Service-Disabled Veteran-Owned Small Business (SDVOSB). We are dedicated to advancing mission support and tradecraft development for our clients while emphasizing employee retention and client satisfaction. We deliver high-quality, intelligence-based solutions grounded in our "Core Four" values: humility, passion, agility, and ownership. Our team members embody humility by prioritizing the mission over personal recognition, bringing passion through relentless enthusiasm for problem-solving and innovation. With agility, they adapt swiftly to changing mission requirements and excel in team dynamics. Above all, our personnel take full ownership of their work, holding themselves accountable to deliver results and uphold the highest standards of excellence. We strive to make our country safer and create a lasting impact through these values. Our Commitment to Diversity and Inclusion At DarkStar Intelligence LLC, we believe that Equal Employment Opportunity (EEO) is not just a policy but a core value that defines our approach to building a diverse, inclusive, and respectful workplace. We are committed to fostering an environment where everyone is valued based on their skills, abilities, and qualifications and where employment decisions are made solely on merit. We uphold a zero-tolerance stance on discrimination of any kind. Our commitment ensures that no one is discriminated against based on race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Our EEO principles are embedded in every facet of the employment process-from recruitment and hiring to promotions, transfers, training, and career development. We also apply this commitment to maintaining an inclusive work environment, equitable compensation and benefits, fair performance evaluations, and respectful terminations. At DarkStar Intelligence, diversity and inclusion are more than policies; they are essential to who we are and how we operate. EEO Flyer:shorturl.at/abpNX Employee Benefits At DarkStar Intelligence LLC, we believe investing in our employees means providing a comprehensive benefits package designed to support their personal and professional well-being. We offer a variety of benefits to meet the diverse needs of our team: Core Benefits: <ul> <li>Health Coverage: Medical, Dental, and Vision plans to ensure you and your family access essential care.</li> <li>Income Protection: Life Insurance, Short-Term Disability, and Long-Term Disability to give you peace of mind.</li> <li>Retirement Planning: A 401(k) plan to help you build a secure financial future.</li> <li>Work-Life Support: Employee Assistance Program (EAP) and Legal Services for added support whenever needed.</li> <li>Paid Time Off: Generous PTO, 11 paid Federal Holidays, plus a Floating Holiday to celebrate what matters most to you. </li></ul>Voluntary Benefits: <ul> <li>Identity & Legal Protection: LegalShield and IDShield protect your identity and provide access to legal resources.</li> <li>Additional Coverage: Whole Life Insurance, Accident Insurance, and Critical Care Insurance for extra protection and peace of mind. </li></ul> At DarkStar Intelligence, we are committed to providing benefits that empower you to thrive inside and outside the workplace. We value your contributions and strive to ensure you feel supported every step of the way.

Job Description: 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. Active TS/SCI security clearance with the full-scope Polygraph required Required Skills: <ul> <li>Programming experience with data analysis software such as R, Python, SAS, or MATLAB. </li><li>Develop experiments to collect data or models to simulate data when required data are unavailable. </li><li>Develop feature vectors for input into machine learning algorithms. </li><li>Identify the most appropriate algorithm for a given dataset and tune input and model parameters. </li><li>Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices). </li><li>Oversee the development of individual analytic efforts and guide team in analytic development process. </li><li>Guide analytic development toward solutions that can scale to large datasets. </li><li>Partner with software engineers and cloud developers to develop production analytics. </li><li>Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation. </li></ul> Required Skills: •SAS •Python for Data Science •MachineLearning •Phd •Ts/Sci •Matlab •bachelor's degree •Data Science

Data Scientist - Fort Meade, MD Clearance Required: TS/SCI with Full Scope Poly Position Overview This Data Scientist role focuses on developing innovative analytic solutions for complex datasets in the defense and intelligence sectors. The position requires a strong background in machine learning, data analysis, and algorithm development. You will work on challenging problems, collaborate with subject matter experts, and contribute to mission-critical analytics. Key Responsibilities <ul> <li>Develop machine learning, data mining, statistical, and graph-based algorithms. </li><li>Prototype, evaluate, and refine algorithms using appropriate performance metrics. </li><li>Build models or simulate data to generate training datasets when unavailable. </li><li>Generate reports and visualizations that provide actionable insights. </li><li>Collaborate with subject matter experts to automate manual data analysis workflows. </li><li>Integrate algorithms within production frameworks for use in operational workflows. </li><li>Guide team members in analytic development and ensure scalability of solutions. </li><li>Work with software engineers and cloud developers to deploy production analytics. </li></ul>Minimum Requirements <ul> <li>Education: </li><li>Bachelor's degree in a quantitative discipline (e.g., Statistics, Mathematics, Operations Research, Engineering, Computer Science) with 8 years of experience, </li><li>OR Master's degree with 5 years of experience, </li><li>OR PhD with 2 years of experience. </li><li>Proficiency in R, Python, SAS, or MATLAB. </li><li>Expertise in machine learning model development, tuning, and evaluation. </li><li>Experience validating analytics using techniques like cross-validation and ROC curves. </li><li>Must have an active TS/SCI clearance with Full Scope Polygraph. </li></ul>Preferred Qualifications <ul> <li>Advanced proficiency in Python or R. </li><li>Familiarity with cloud-based analytics and production deployment. </li><li>Strong data visualization and reporting skills. </li></ul>Compensation and Benefits <ul> <li>Benefits: Comprehensive health, dental, and vision coverage, paid time off, 401(k) contributions, and flexible work arrangements. </li></ul> This position offers the opportunity to work on cutting-edge analytics projects with a talented and mission-driven team. Apply today to make a meaningful impact in the field of data science!

About the job Data Scientist The Data Scientist will play a crucial role in providing analytic solutions for clients across both Commercial and Government sectors. As part of our esteemed Data Science consulting firm, you will enjoy a diverse range of projects and exposure to multiple techniques and tools. Our team is dedicated to building lasting relationships with clients, serving as trusted advisors and preferred analytics providers. You will have the opportunity to enhance your analytic skills while addressing complex problems alongside talented teammates, gaining valuable experience in analytics consulting. Company Culture and Environment Our firm promotes a collaborative and innovative culture where each team member is valued. We encourage creativity and support professional growth through knowledge sharing and teamwork. Diverse projects and a focus on client relationships foster a dynamic work environment. Career Growth and Development Opportunities Joining our team presents great opportunities for skill enhancement and career advancement. You will have the chance to work on various challenging projects, allowing you to broaden your expertise in analytics and consulting. Detailed Benefits and Perks While specific benefits are not listed, our company is committed to offering competitive compensation and supportive work environments that foster professional development. Compensation and Benefits <ul> <li>Competitive salary based on experience</li> <li>Health and wellness programs</li> <li>Opportunities for professional development and continuous learning</li> </ul>Why you should apply for this position today This position offers a unique opportunity to work with an experienced team on impactful projects. You will be at the forefront of innovative solutions that drive insights for clients, ultimately contributing to their success. Skills <ul> <li>Programming experience with data analysis software such as R, Python, SAS, or MATLAB</li> <li>Experience in developing experiments to collect data or simulate data when required</li> <li>Ability to develop feature vectors for input into machine learning algorithms</li> <li>Expertise in identifying and tuning appropriate algorithms for various datasets</li> <li>Knowledge in evaluating and validating analytics performance using standard metrics (e.g., cross validation, ROC curves, confusion matrices)</li> <li>Experience overseeing analytic development efforts and guiding teams</li> <li>Skills in partnering with software engineers and cloud developers for production analytics</li> <li>Capability to develop and train machine learning systems based on statistical data analysis</li> </ul>Responsibilities <ul> <li>Develop machine learning, data mining, statistical, and graph-based algorithms to analyze datasets</li> <li>Prototype and select algorithms based on performance metrics</li> <li>Build models or experiments to generate data when training datasets are unavailable</li> <li>Generate insightful reports and visualizations for clients</li> <li>Collaborate with subject matter experts to automate manual analytics</li> <li>Implement prototype algorithms within production frameworks for analyst workflows</li> </ul>Qualifications <ul> <li>Bachelors degree in a quantitative discipline + 7 years of experience, Masters degree + 5 years of experience, or PhD + 2 years of experience</li> <li>Active TS/SCI security clearance with full scope Polygraph required</li> </ul>Education Requirements <ul> <li>Bachelors degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science)</li> </ul>Education Requirements Credential Category <ul> <li>Bachelors Degree</li> </ul>Experience Requirements <ul> <li>7+ years of relevant experience in data science with a Bachelors degree</li> <li>5+ years with a Masters degree or 2+ years with a PhD</li> </ul> Why work in Fort Meade, MD Fort Meade, MD, offers a unique blend of military presence and community resources, providing a vibrant atmosphere for professional and personal growth. With a focus on innovation and security, the area is home to numerous technology firms and government agencies, creating excellent networking opportunities. The region also boasts a rich history, diverse culture, and proximity to major cities, offering a well-rounded lifestyle. Employment Type: Full-Time Education Level: Bachelor's degree Required Knowledge, Skills, and Abilities: (Hiring Companies ATS Questions): 1. Do you have a 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 2. Do you have a Active TS/SCI security clearance with the full scope Polygraph required 3. Do you have programming experience with data analysis software such as R, Python, SAS, or MATLAB. 4. Do you have developed experiments to collect data or models to simulate data when required data are unavailable. 5. Do you have developed feature vectors for input into machine learning algorithms. 6. Do you have Identified the most appropriate algorithm for a given dataset and tune input and model parameters. 7. Do you have evaluated and validated the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices). 8. Have you overseen the development of individual analytic efforts and guide team in analytic development process. 9. Must be a US Citizen or Green Card holder.

Location: Fort Meade, MD Clearance Required: Current TS/SCI Clearance with Polygraph Required Qualifications: <ul> <li>Bachelor's degree from an accredited college or university in Computer Science, Mathematics, or related discipline.</li> <li>Twelve (12) years' experience in Mathematics/Statistics, Computer Science, analysis of data syntax and semantics, and Domain Expertise/Analysis.</li> <li>Bachelor's degree in computer science, mathematics, or appropriate field may be substituted for one (1) year of experience or a Graduate degree may be substituted for three (3) years of experience, or a PhD may be substituted for six (6) years of experience.</li> <li>Experience is required in managing data science projects or being a Principal Investigator for a data science project.</li> </ul> Job Description: The Data Scientist will focus on extracting knowledge and insights from both structured and unstructured data in various forms. Please send your resume to careers@rti-llc.com All employment decisions at RTI are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. RTI will not tolerate discrimination or harassment based on any of these characteristics.

Data Scientist Jobs in Fort Meade, MD

Data Scientist
February 7, 2025

Data Scientist Mid
February 7, 2025

Sme Data Scientist
February 7, 2025

Data Scientist
February 5, 2025

Data Scientist
February 4, 2025

Data Scientist
February 3, 2025

Data Scientist
February 3, 2025

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Data Scientist Jobs in Fort Meade, MD

Data ScientistFebruary 7, 2025

Data Scientist MidFebruary 7, 2025

Sme Data ScientistFebruary 7, 2025

Data ScientistFebruary 5, 2025

Data ScientistFebruary 4, 2025

Data ScientistFebruary 3, 2025

Data ScientistFebruary 3, 2025

Quick filters

Top companies

Data Scientist
February 7, 2025

Data Scientist Mid
February 7, 2025

Sme Data Scientist
February 7, 2025

Data Scientist
February 5, 2025

Data Scientist
February 4, 2025

Data Scientist
February 3, 2025

Data Scientist
February 3, 2025