1. Role Overview Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering.

2. Key Responsibilities Translate business questions into data science problems and analytical workflows Conduct data wrangling, exploratory analysis, and hypothesis testing Develop statistical models and predictive tools for decision support Create compelling data visualizations and dashboards for business users Present findings and recommendations to non-technical stakeholders

3. Ideal Qualifications 5+ years of applied data science or analytics experience in business settings Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills Experience with data visualization tools (e.g., Tableau, Power BI) Solid understanding of statistical modeling, experimentation, and A/B testing Strong communication skills for translating technical work into strategic insights

4. More About the Opportunity Remote Expected commitment: min 30 hours/week Project duration: :6 weeks

5. Compensation & Contract Terms $75–100/hour Paid weekly via Stripe Connect You’ll be classified as an independent contractor

6. Application Process Submit your resume followed by domain expertise interview and short form

About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

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