Elder Research Inc.
Data Scientist; Cleared Talent Community - Virginia
Elder Research Inc., Chantilly, Virginia, United States, 22021
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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. 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. 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. 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. 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. 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.
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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. 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. 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. 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. 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.
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