[Hiring] Data Scientist @MANTECH

Role Description

MANTECH seeks a motivated, career and customer-oriented Data Scientist to join our Data and AI Practice. This is a remote position with a preference for candidates located in the National Capital Region. Ability to travel for initial onboarding and laptop pickup (estimated 1 day).

As a Data Scientist, you will support a key Federal customer with high impact advanced analytics, data science pipeline development, and interactive data visualization for custom client applications.

• Apply and validate data mining methods and machine learning models.
• Design and implement data-driven solutions, with a specific focus on advanced analytical methods, data models, and visualizations.
• Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations.
• Identify trends and problems through complex big data analysis.
• Maintain current knowledge of emerging tools and techniques in machine learning, statistical modeling, and analytics.
• Serve as a key member of a data science project team, supporting other data scientists and consultants in the performance of assigned tasks.

Qualifications

• 6+ years of relevant experience in applied research directed to machine learning, data science, applied mathematics, statistics, computer science, operations research, or a closely related quantitative or mathematical discipline.
• Advanced Degree (Master’s) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research, or a closely related quantitative or mathematical discipline.
• Demonstrated experience with data mining methods, databases, data visualization, and machine learning.

Requirements

• Experience with analytic techniques such as anomaly detection, clustering, entity resolution, risk-based modeling, and network and cohort analysis.
• Expertise with Qlik and/or other BI tools such as Tableau and PowerBI.
• Familiarity with Databricks or similar cloud-based distributed database technologies.
• Strong SQL skills and demonstrated experience with cleaning, managing, optimizing performance, and processing large volumes of data.
• Excellent verbal and written communication skills.

Benefits

• Health Insurance
• Life Insurance
• Paid Time Off
• Holiday Pay
• Short-term and long-term Disability
• Retirement and Savings
• Learning and Development opportunities
• Wellness programs
• Other optional benefit elections