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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