Data Science - Operations Research & Optimization Expertise

Newt Global; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading analytics firm is seeking a Senior Data Scientist with expertise in operations research and optimization. This remote position requires 7–10 years of advanced analytics experience, including proficiency in Python or R and strong mathematical programming skills. Candidates will focus on marketing mix modeling for retail sectors. The role is for a duration of 6 months with a possible extension and offers the opportunity to work with advanced tools in a cloud-based environment.

Qualifications

• 7–10 years in advanced analytics, with 3–5 years in operations research and optimization.
• Strong foundation in mathematical programming and stochastic modeling.
• Proficient in building marketing mix models for retail or consumer-facing businesses.

Skills

Advanced analytics

Operations Research

Optimization

Python

R

Statistical analysis

Machine Learning

Tools

Pyomo

Gurobi

CPLEX

Azure ML

Databricks

Job description

Data Science - Operations Research & Optimization Expertise

Senior Data Scientist / Optimization Specialist

Location: Remote

Duration: 6 Months with possible extension

Contract Type: W2 Only

Requirements

• Experience: 7–10 years in advanced analytics, with at least 3–5 years focused on OR and optimization in marketing or retail contexts.
• Operations Research & Optimization Expertise: Strong foundation in mathematical programming (linear, nonlinear, integer) and experience with stochastic modeling.
• Marketing Mix Modeling: Proven experience building and validating MMM for retail or consumer-facing businesses.
• Advanced Analytics & Programming: Proficiency in Python or R, with hands‑on experience using optimization libraries such as Pyomo, Gurobi, or CPLEX.
• Statistical & Machine Learning Knowledge: Expertise in regression, time‑series analysis, and causal inference.
• Domain Knowledge: Familiarity with retail marketing strategies, pricing, and promotional planning.
• Tools & Platforms: Experience with cloud‑based analytics platforms (e.g., Azure ML, Databricks) and visualization tools.

Warm Regards,