Job description

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

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