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Selected role

Sr Data Scientist (On site 3 days per week)

Seneca Resources Company, LLC Hoover, AL

Senior Full-time

Position Title:
Sr. Data Scientist

Location:
Hoover, AL (Onsite - 3 days/week)

Clearance Requirements:
None

Position Status:
Contract to Hire

Pay Rate:
DOE

Position Description:

We are seeking a highly skilled and innovative Senior Data Scientist to design advanced analytical solutions that drive strategic decision-making and business performance. This role will serve as a key contributor in shaping data strategy, developing predictive models, and delivering actionable insights that influence product, engineering, and business initiatives.

Top candidates will bring deep expertise in statistical modeling, machine learning, data mining, and large-scale analytics—paired with the ability to translate complex findings into clear, meaningful outcomes for stakeholders. This is an excellent opportunity for a motivated data scientist who thrives in dynamic, research-oriented environments and enjoys building impactful data-driven solutions.

Core Responsibilities:

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.

Required Skills/Education:

7+ years of experience in data science, machine learning, or advanced analytics.
Strong expertise in statistical analysis, data mining, pattern recognition, and predictive modeling.
Proficiency in SQL, Python, Java, SAS, and data visualization tools such as Tableau and Excel.
Experience designing, validating, and deploying analytical or ML models in production environments.
Ability to manage multiple projects in a fast-paced, research-focused environment.
Excellent communication skills with the ability to simplify complex concepts for diverse audiences.

Preferred Qualifications:

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).

About Seneca Resources

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.

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