Elder Research · 1 day ago
Data Scientist; Cleared Talent Community - Virginia
Virginia, United States
Full-time
Remote
Entry Level
1+ years exp
Maximize your interview chancesAnalyticsConsulting
No H1B
U.S. Citizen OnlySecurity Clearance Required
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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
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Required
Clearance Required: TS/SCI with 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.
Active TS/SCI clearance with a Polygraph
Ability to work on-site for 36-40 hours during a typical week.
Travel: less than 10%
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
Parental policies
Bereavement policies
PTO policies
Flexible time off
Company
Elder Research
Elder Research, Inc. is a consulting company in data science, predictive analytics, and text mining.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$3M2023-10-16Series Unknown· $3M
2011-05-18Acquired· undefined
Leadership Team
G
Gerhard Pilcher
CEO
Jeff Deal
Chief Operating Officer
Recent News
SEC
2023-10-17
Company data provided by crunchbase
