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Data Scientist
Data ScientistAralise • Fort Meade, Maryland, United States
Data Scientist

Data Scientist

Aralise • Fort Meade, Maryland, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Our client, a leader in data science consulting, is seeking a talented Data Scientist to join their team. This is an excellent opportunity to work on cutting-edge analytic solutions for clients across commercial and government sectors, tackling diverse challenges and utilizing the latest techniques and tools.

Position Responsibilities

As a Data Scientist, you will :

  • Develop machine learning, data mining, statistical, and graph-based algorithms to analyze complex datasets.
  • Prototype, evaluate, and select algorithms using suitable performance metrics.
  • Build models or design experiments to generate necessary data.
  • Create reports and visualizations that provide actionable, data-driven insights for clients.
  • Collaborate with subject matter experts to automate manual data analysis processes.
  • Implement prototype algorithms within production frameworks for seamless analyst integration.

Qualifications

Required Clearance :

  • TS / SCI with Full Scope Polygraph

    • Required Degree and Experience :

  • Bachelors degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) + 7 years of experience,
  • OR Masters degree + 5 years of experience,
  • OR Ph.D. + 2 years of experience.

    • Required Skills :

  • Proficiency in programming with data analysis tools such as R, Python, SAS, or MATLAB .
  • Experience designing experiments or models to simulate data when datasets are unavailable.
  • Ability to develop feature vectors for machine learning algorithms and tune parameters for optimal performance.
  • Expertise in evaluating and validating analytics using techniques like cross-validation, ROC curves, and confusion matrices.
  • Experience guiding teams through analytic development processes and scaling solutions for large datasets.
  • Ability to collaborate with software engineers and cloud developers to integrate production analytics.
  • Skilled in developing and training machine learning systems to support mission automation.

    • Compensation : $150,000 - $180,000

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