Senior Data Scientist

Mobian (Headquarters: Remote)

Location: Remote (North America, Europe, South America)   |   Full-Time   |   $150,000 - $220,000
Python SQL Causal Inference A/B Testing Econometrics Data Science

About Mobian: Mobian is revolutionizing digital campaign measurement by providing data-driven insights that transform how businesses understand and optimize their advertising performance. We build and deploy statistical models that quantify the impact of digital ads on real-world outcomes like sales and customer acquisition. This requires integrating diverse data sources, applying advanced econometric techniques, and collaborating with cross-functional teams to deliver actionable insights to clients across retail, e-commerce, travel, and consumer goods industries. Our remote-first culture enables collaboration with teams spanning North America, Europe, and South America, creating a dynamic and inclusive work environment.

Role Overview: As a Senior Data Scientist at Mobian, you’ll lead the development and implementation of statistical models that measure the causal impact of digital advertising campaigns on business outcomes. You’ll design and execute rigorous experiments, integrate complex data pipelines, and translate findings into strategic recommendations for clients. This role combines deep technical expertise with strong communication skills to bridge the gap between data science and business decision-making.

Key Responsibilities:

  • Design, develop, and validate advanced statistical models (including causal inference, uplift modeling, and time-series analysis) to measure campaign effectiveness
  • Lead end-to-end data projects from conceptualization through implementation and deployment
  • Integrate diverse data sources (offline sales, ad tracking, first-party data) using SQL, Python, and cloud data platforms
  • Conduct A/B tests and experiment design to isolate campaign impact from confounding factors
  • Develop proprietary metrics and dashboards to measure ROI and optimize client campaigns
  • Collaborate with product, engineering, and sales teams to ensure models meet business requirements
  • Mentor junior data scientists and contribute to team knowledge sharing

Required Skills & Qualifications:

  • Master’s degree in Statistics, Economics, Computer Science, or related quantitative field
  • 6-10+ years of experience in data science, analytics, or econometrics
  • Proficiency in Python (pandas, numpy, scipy) and SQL for data manipulation
  • Strong foundation in causal inference methodologies (difference-in-differences, regression discontinuity, instrumental variables)
  • Experience with statistical modeling in marketing attribution environments
  • Excellent analytical and problem-solving abilities with attention to detail
  • Exceptional communication skills to translate complex findings for non-technical stakeholders
  • Experience with cloud data platforms (AWS Redshift, BigQuery) is highly desirable
  • Familiarity with experiment design and analysis in dynamic environments

What We Offer:

  • Competitive salary range of $150,000 - $220,000
  • Equity participation in a fast-growing startup
  • Flexible remote work policies with opportunities for international travel
  • Professional development budget for conferences and training
  • Collaborative team environment with experienced data scientists
  • Health insurance, retirement plans, and paid time off

Application: Please submit your resume and cover letter expressing your interest in this role to careers@mobian.com with “Data Scientist” in the subject line. Our team will contact qualified candidates within 2 weeks.

Post Date: August 15, 2025