Senior Data Scientist, Marketing Analytics

Content moderation runs around the clock, with reviewers in multiple time zones and languages. Founded in 2017, we now have 250 employees.

Overview:

We are adding a Senior Data Scientist, Marketing Analytics to our Risk team. The Risk team works directly with product and finance. You'll design experiments, build forecasts and explain the results. Remote, open to candidates across the US. Monday to Friday, regular working hours, flexible start and finish. Equipment is provided, including a laptop.

What you'll be doing:

• Review peers' analyses for statistical correctness
• Partner with data engineering on feature tables and data quality
• Pull and shape data with SQL from Snowflake, BigQuery or Databricks
• Build predictive models in Python using scikit-learn, XGBoost or LightGBM
• Present findings to product, marketing and finance leaders with clear recommendations
• Design and analyze A/B tests, including power calculations and guardrail metrics

What you need:

• Comfort with Jupyter, VS Code or Databricks notebooks
• Data visualization in matplotlib, seaborn, Plotly or a BI tool
• Ability to communicate uncertainty and tradeoffs to non-technical audiences
• Strong Python (pandas, NumPy, scikit-learn) and SQL
• Familiarity with Git and working in shared codebases
• Solid grasp of statistical inference, regression and experimental design

Nice to have:

• Published research or strong Kaggle results
• Spark for large datasets

The base pay range for this position is $183,000 - $215,000 per year. Actual pay depends on experience, skills and location.

Benefits:

• Health insurance
• 401(k) with a 100% match up to 5%
• Paid sick leave
• Flexible spending account
• Professional development budget
• Gym membership reimbursement

No agencies or third-party recruiters, please.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Hemlockwright Apps LLC.