Data Scientist – Operations Research & Machine Learning

Job Title:

Data Scientist – Operations Research & Machine Learning

Work Arrangement:
Onsite

Employment Type:

Contract

Contract Duration: 6+ months

Hourly Rate: $63.23/hr. on W2 OR $76.41/hr. on C2C

Domain:
Technology | Advanced Analytics & Decision Support

Final date to receive applications:
August 28, 2026

• Strong foundation in Operations Research (OR) methodologies and optimization tools
• Advanced expertise in Machine Learning (ML) and Predictive Analytics
• Proficiency in Python/R and SQL for efficient historical data querying and manipulation
• Proven experience building recommendation engines and intelligent suggestion systems
• Ability to translate complex descriptive data into actionable prescriptive analytics for strategic decision-making

• Familiarity with data visualization tools (e.g., Tableau, Power BI) to present insights to stakeholders
• Strong cross-functional communication and technical mentorship skills

We are seeking an elite Senior Data Scientist to join our team onsite in Dallas, TX. This critical role focuses on integrating advanced Machine Learning and data science methodologies directly into our Operations Research (OR) toolsets. The ideal candidate will bridge the gap between historical data and future-proof strategy—efficiently querying and summarizing descriptive insights, building high-impact recommendation systems, and driving prescriptive analytics that directly inform corporate decision-making.

We need a forward-thinking architect who designs solutions not just for today's immediate needs, but with the scalability to support tomorrow's innovations.

• Enhance existing Operations Research (OR) tools by embedding Machine Learning models to significantly improve recommendation and decision-making accuracy
• Query, process, and analyze massive historical datasets to extract descriptive insights and summarize complex data patterns
• Design, develop, and deploy production-grade predictive and prescriptive models that provide actionable strategies for business leaders
• Partner closely with engineering and product teams to ensure all algorithm developments consider future scalability and long-term business roadmap alignment
• Translate technical data science findings into clear, impactful presentations for non-technical stakeholders and executive leadership

• Medical
• Dental
• Vision
• 401(k)

EEOC Compliance:

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

AI Usage Policy:
Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.