Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop the measurement program within Lunar Solar Group's Data Strategy & Insights team.

• Collaborate with the Data Strategist to establish measurement pathways for clients.

• Maintain statistical rigor for media mix and attribution models, encompassing specifications, assumptions, validation, diagnostics, power analysis, sample sizing, test duration, and success criteria.

• Design, execute, and analyze incrementality tests across Meta, Google, and other paid channels.

• Construct, calibrate, and update media mix models while delivering response curves and budget scenarios.

• Assess multi-touch attribution outputs and evaluate third-party measurement tools.

• Integrate attribution, experiments, and modeling into a cohesive understanding of channel value.

• Communicate findings and recommendations to clients and internal teams in accessible language.

• Cleanse, validate, and merge advertising, web analytics, and commerce data.

• Create reusable code, templates, and a communal testing calendar.

• Assist media buyers and strategists in enhancing their measurement fluency.

• Report to the Sr. Director of Data Strategy, collaborating with media buyers, strategists, account leads, and client stakeholders.

⛳️ Requirements

• A minimum of 3 years of experience in applied data science or marketing analytics, with at least 2 years of hands-on experience in marketing measurement.

• Direct experience in regularly conducting at least one of media mix modeling, incrementality testing, or multi-touch attribution, alongside a working knowledge of the other two.

• Strong foundation in causal inference, covering experimental design, power analysis, synthetic control, and difference in differences.

• Proven experience in building media mix models, including adstock, saturation, and calibration with experimental results, utilizing Google Meridian, Meta Robyn, or PyMC Marketing.

• Awareness of attribution limitations, such as walled gardens, signal loss, and view-through credit.

• Proficient in Python, including pandas, statsmodels, and scikit-learn, as well as SQL.

• Capable of articulating statistical results to non-technical audiences both in writing and during live client discussions.

• Comfortable managing multiple clients or projects simultaneously and addressing ambiguous questions from scoping through delivery.

• Open to presenting evidence-backed findings that may be unwelcome.

• Preferred: experience in an agency setting supporting multiple clients.

• Preferred: familiarity with GeoLift or CausalImpact.

• Preferred: experience using BigQuery or Snowflake and Git.

• Preferred: knowledge of Meta Ads, Google Ads, GA4, and Shopify data.

• Preferred: experience with Amazon, retail, or offline-channel measurement.

• Preferred: familiarity with Northbeam, Triple Whale, Rockerbox, or Haus.

• Preferred: working knowledge of R.

• Preferred: experience with dashboarding tools like Looker Studio, Tableau, or similar.

• Preferred: degree in statistics, economics, data science, or a related quantitative field, or equivalent practical experience.

• Legally authorized to work in the United States of America.

🏝️ Benefits

• Accelerated career advancement and leadership opportunities.

• Direct mentorship and collaboration with senior leaders across various departments.

• A talented, supportive, and passionate team.

• Comprehensive coverage for Medical, Dental, Vision, STD, LTD, and Life insurance at 100% paid.

• 401K plan with company matching.

• Generous paid time off and holiday schedule.

• A day off during your birthday week.