Data Scientist

Optimal Solutions & Technologies (OST, Inc.) is focused on excellence. We specialize in providing Management Consulting, Information Technology, and Research Development and Engineering services.

The fundamental distinction of the OST team is its business knowledge in both the public and private sectors. We serve the aerospace & transportation, association & nonprofit, defense, education, energy, financial, healthcare, and technology & telecommunications industries. OST is successful because we listen to our clients, we learn from our clients, and we know our clients.

Data Scientist

Overview

Join OST's Data & Analytics team within the CTO organization, where you'll help drive mission-critical decisions through data. This role blends hands-on analytics, engineering, and customer-facing work-giving you the opportunity to build impactful solutions, influence strategy, and support high-visibility government programs.

Job Duties

As a Data Scientist, you will:

• Partner with technical and business teams to design and deliver data-driven solutions for mission and growth initiatives
• Collect, ingest, and transform data from multiple sources to create reliable, analysis-ready datasets
• Perform data analysis, visualization, and reporting to uncover trends, insights, and actionable recommendations
• Develop, deploy, and maintain analytics and AI/ML solutions supporting real-world business use cases
• Support proposal efforts and customer engagements, including technical write-ups, demos, and presentations
• Help project teams optimize performance, reduce risk, and improve outcomes using data-driven approaches
• Contribute to data governance and quality efforts, including defining KPIs, maintaining metadata, and ensuring data integrity
• Promote a data-driven culture by sharing knowledge, training teams, and supporting internal initiatives

Job Requirements

Experience & Education

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
• 3+ years of experience in data analytics, data science, or related role
• Active clearance (highly preferred / required based on program)

Core Skills

• Experience working across the full data lifecycle: ingestion, transformation, analysis, and visualization
• Strong foundation in data preparation, data modeling, and database systems (SQL and/or NoSQL)
• Proficiency in Python and/or R for data analysis and machine learning
• Experience with data visualization tools (Power BI, Tableau, QuickSight, etc.)
• Hands-on experience with cloud platforms (AWS, Azure, or similar)
• Familiarity with ETL processes and tools (e.g., Databricks, AWS Glue, or similar)

Analytics & Technical Capabilities

• Experience with statistical analysis, exploratory data analysis, and hypothesis testing
• Exposure to predictive modeling or machine learning techniques
• Ability to work with both structured and unstructured data

Professional Skills

• Strong communication skills with the ability to translate technical findings into clear insights
• Ability to manage multiple priorities in a fast-paced, client-facing environment
• Detail-oriented with a focus on data accuracy and quality
• Collaborative mindset with the ability to work independently and within teams

Nice to Have

• Master's or PhD in a related field
• Experience with end-to-end data science lifecycle in large-scale or enterprise environments
• Familiarity with data governance frameworks and tools (e.g., Collibra)
• Experience with big data platforms and modern data architectures
• Exposure to streaming data, IoT, or real-time analytics
• Experience with simulation methods (Monte Carlo, discrete event, etc.)
• Relevant certifications (AWS, Azure, Databricks, SAS, etc.)
• Six Sigma certification
• Prior experience supporting government or DoD program

This is a full-time position paying a base salary of $130,000, and full benefits, and has possible bonus potential based on merit and performance. To be considered for this position, please apply online with a resume.

OST is an equal-opportunity employer. Applicants are considered for positions without regard to race, religion, gender, native origin, age, disability, or any other category protected by applicable federal, state, or local laws.