Role overview
At Seneca Resources, we are more than just a staffing and consulting firm, we are a trusted career partner. With offices across the U.S. and clients ranging from Fortune 500 companies to government organizations, we provide opportunities that help professionals grow their careers while making an impact.
When you work with Seneca, you’re choosing a company that invests in your success, celebrates your achievements, and connects you to meaningful work with leading organizations nationwide. We take the time to understand your goals and match you with roles that align with your skills and career path. Our consultants and contractors enjoy competitive pay, comprehensive health, dental, and vision coverage, 401(k) retirement plans, and the support of a dedicated team who will advocate for you every step of the way.
Seneca Resources is proud to be an Equal Opportunity Employer, committed to fostering a diverse and inclusive workplace where all qualified individuals are encouraged to apply.
What you'll work on
- Lead data strategy efforts by identifying, evaluating, and integrating new datasets to enhance product capabilities.
- Partner closely with engineering, product, and design teams to understand business needs and build scalable data solutions.
- Develop, test, and refine statistical and machine learning models to support predictive analytics and operational improvements.
- Source, collect, and preprocess structured and unstructured datasets for modeling and experimentation.
- Conduct exploratory data analysis to uncover trends, patterns, and opportunities that align with business priorities.
- Build algorithms for large-scale data mining, including model validation, optimization, and error analysis.
- Deploy models into production environments in partnership with software developers and ML engineers.
- Communicate insights and recommendations clearly to technical and non-technical stakeholders.
- Stay current with emerging tools, technologies, and best practices in data science and AI/ML.
What we're looking for
- Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or a related field (or equivalent experience).
- 2+ years of project management or technical leadership experience.
- Professional certifications in data science, machine learning, cloud technologies, or related areas.
- Experience with big data platforms (Spark, Hadoop) or cloud ML tools (AWS, Azure, GCP).