Applied Data Scientists | $100/hr Remote | Mercor
Posted 1 day ago by Crossing Hurdles
Negotiable
Undetermined
Remote
United Kingdom
Summary: The Applied Data Scientist role at Mercor, facilitated by Crossing Hurdles, involves translating business questions into data science problems and developing statistical models and visualizations. This position is remote, offering flexible hours between 10 to 40 per week, and requires strong analytical skills and proficiency in data science tools. The ideal candidate will present findings to non-technical stakeholders and possess a solid understanding of statistical modeling. Compensation ranges from $75 to $100 per hour.
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.
Key Skills:
- Strong 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.
Salary (Rate): £100.00 hourly
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
At Crossing Hurdles, we work as a referral partner. We refer candidates to Mercor that collaborates with the world’s leading AI research labs to build and train cutting-edge AI models.
Organization: Mercor
Position: Applied Data Scientist
Referral Partner: Crossing Hurdles
Type: Hourly contract
Compensation: $75–$100 per hour
Location: Remote
Commitment: 10–40 hours/week, flexible and asynchronous
Duration: Flexible
Role 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.
Ideal Qualifications:
- Strong 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.
Application Process (Takes 20 min):
- Submit your resume
- AI interview based on your resume (15 min)
- Submit form