Job Description

This range is provided by Seneca Resources. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Base pay range

$70.00/hr - $80.00/hr

Position Title: Data Scientist Consultant

Position Status: Contract-to-Hire

Position Description: Seneca Resources is seeking a Data Scientist to drive high-impact analytics initiatives and deliver data-driven insights that shape strategic decisions across IT, Information Security, and Engineering teams. This senior-level role blends advanced statistical modeling and predictive analytics with consultative business partnership, enabling leadership to make confident, informed decisions.

The ideal candidate is both a strategic advisor and hands?on data expert, capable of independently leading complex analytical projects, mentoring analysts, and developing forward?looking models that influence enterprise?level initiatives.

Key Responsibilities

• Partner with senior business and technical leaders to understand strategic initiatives and develop data science solutions that measure and drive business value.
• Design, build, and deploy predictive and prescriptive models that inform strategic planning, risk assessment, and performance optimization.
• Conduct exploratory data analysis, feature engineering, and statistical modeling using tools such as Python, R, or SQL.
• Lead data visualization and reporting efforts through Power BI or Tableau, turning analytical outputs into clear, actionable insights for executive audiences.
• Develop automated, scalable analytics workflows in collaboration with IT and engineering teams.
• Mentor junior data professionals, providing analytical and technical guidance.
• Translate analytical findings into practical business recommendations and present them effectively to non?technical stakeholders.
• Contribute to data governance and model validation processes to ensure analytical accuracy and reliability.

Required Skills & Education

• Bachelors or Masters degree in a quantitative field (Data Science, Statistics, Applied Mathematics, Computer Science, Economics, or related discipline).
• 5+ years of experience in data science, statistical analysis, or advanced analytics roles supporting business or technical leadership.
• Proven experience building and deploying machine learning models (predictive, classification, regression, or clustering).
• Strong command of Python or R, including packages for modeling, data wrangling, and visualization (e.g., pandas, scikit?learn, NumPy, ggplot).
• Proficiency in SQL and strong understanding of data pipelines, ETL, and relational databases.
• Advanced expertise with Power BI or Tableau, including DAX, data blending, and complex visual storytelling.
• Ability to explain complex models and analytical findings to non?technical stakeholders in a clear, actionable way.
• Excellent problem?solving skills, intellectual curiosity, and the ability to work independently in fast?paced, evolving environments.

Preferred Qualifications

• Experience working with IT, Cybersecurity, or Engineering data sets or business units.
• Familiarity with cloud analytics environments (Azure ML, AWS Sagemaker, Databricks, etc.).
• Exposure to forecasting, simulation, and optimization methodologies.
• Strong business acumen and consulting mindset able to balance technical depth with strategic influence.

About Seneca Resources

At Seneca Resources, were more than a staffing and consulting firm were a trusted partner in your career journey. With clients spanning Fortune 500 enterprises and government agencies, we connect professionals with meaningful opportunities that make an impact.

When you work with Seneca, you gain more than a role you gain an advocate. We offer competitive compensation, comprehensive benefits, 401(k) plans, and a dedicated team committed to your long?term success.

Seneca Resources is proud to be an Equal Opportunity Employer, fostering an inclusive workplace where diverse perspectives drive innovation. All qualified candidates are encouraged to apply.

Seniority level

Mid?Senior level

Employment type

Contract

Job function

Information Technology

IT Services and IT Consulting and Financial Services

Job Tags

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