Senior Data Scientist - Python & Machine Learning

About Bart & Associates

At Celestar, a B&A Company, we hold a strong commitment to our core values of dedication, partnership, trust, and recognition, which have guided our success since 1988. We prioritize employee engagement, offering a range of benefits including comprehensive health plans, paid time off, and professional development opportunities. Our culture encourages collaboration and innovation, where entrepreneurial thinkers can thrive. Located in the National Capital Region, we take pride in serving a wide array of clients across government and private sectors. We are devoted to making a positive impact in our communities through various charitable initiatives and employee wellness programs.

The Role

At Bart & Associates we are looking for a Data engineer!

Our Tech Stack

• AI
• Census
• Data
• Machine Learning
• Microsoft Power BI
• Python
• R
• SQL
• Security
• Tableau

Requirements

• Masters Degree with 12 years of experience, or a bachelors degree with an additional 5 years of relevant experience (total of 17 years) instead of a masters degree.
• At least 12 years of experience related to the specific labor category, with some portion of the experience occurring within the last 2 years.
• Extensive knowledge in data analytics, data engineering, data mining, and statistical analysis.
• Proficient in major data science programming languages, such as R and Python.
• Experience with large datasets, Multi-INT analytics, machine learning (ML), and automated predictive analytics.
• Skilled in creating data visualization tools using Microsoft Power BI, Tableau, and similar applications.
• Minimum of TS/SCI security clearance with CI Polygraph certification.
• Strong problem-solving and analytical skills to drive informed decision-making.

Responsibilities

• Perform data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific techniques to improve decision-making.
• Proactively gather information from various datasets, analyze it for better insights, and develop AI tools to automate processes.
• Create and implement machine learning-based tools or features, such as recommendation engines and automated lead scoring systems.
• Conduct statistical analysis and employ data mining techniques to construct high-quality predictive systems.
• Manage and integrate diverse data sources, preferably utilizing R, Python, or SQL for statistical analysis and algorithm development.
• Provide senior-level enterprise support across various databases and applications in defense-related analytics.

Benefits & Perks

• health plans
• paid time off
• professional development opportunities