Data Scientist
About the role
- Develop and deploy analytics solutions incorporating LLM usage, natural language processing, and text analytics.
- Apply MAVEN Smart Systems to support automated decision-making, intelligent workflows, and advanced analytics pipelines.
- Design, build, and optimize artificial intelligence, machine learning, and statistical modeling solutions to support mission requirements.
- Create visualizations and dashboards using Tableau and/or Power BI to communicate insights clearly to technical and non-technical stakeholders. • Utilize structured query language (SQL) to design, maintain, and optimize relational database schemas and data architectures.
- Automate data processing workflows using Python to support scalable, repeatable analytics operations.
- Query and integrate data from external sources, including APIs, web services, and RSS feeds.
- Operate within Agile development environments while collaborating with cross-functional teams across data engineering, analytics, operations, and mission stakeholders.
- Bachelor's degree or higher in data science, computer science, statistics, applied mathematics, applied physics, data analytics, or an equivalent field.
- Minimum of 7+ years of combined experience in data science, data visualization, artificial intelligence, text analytics, SQL/database development, or related analytics disciplines.
- Demonstrated mastery of the tools, methods, and technologies listed above.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
