Apply on Employer Site

Elder Research · 19 hours ago

Data Scientist: Cleared Talent Community - Virginia

West McLean, VA

Full-time

Onsite

Entry, Mid Level

1+ years exp

Elder Research is a fast-growing consulting firm specializing in predictive analytics. They are seeking talented Data Scientists with expertise in machine learning, statistical analysis, and artificial intelligence to develop advanced algorithms and data-driven solutions for the U.S. Intelligence Community.

AnalyticsConsultingDatabaseInformation TechnologyTraining

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

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, 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

Qualification

Machine LearningStatistical AnalysisData AnalysisBig Data TechnologiesProgramming LanguagesData VisualizationCloud TechnologiesCommunication SkillsCollaboration SkillsProblem Solving

Required

Active TS/SCI clearance with a Polygraph

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

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

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

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

Preferred

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

Benefits

Competitive Salary and Benefits

Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract.

People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement.

Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

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.