Data Scientist I

About HKP Apps

Founded in 2003, the business writes the billing, metering and customer portal software that small water and electric utilities run on. Customers use our platform to manage equipment rentals: reservations, check-out, damage photos, invoicing and QuickBooks sync. On-call rotates weekly and pays a flat stipend whether or not the pager goes off.

The role

We are adding a Data Scientist I to our Forecasting team. Expect messy, real data and a fair amount of time on feature engineering and validation. We work hybrid out of Chicago, usually three days in, two days remote.

In your first few months you will

• Design and analyze A/B tests, including power calculations and guardrail metrics.
• Estimate causal effects with difference-in-differences, propensity matching or regression discontinuity.
• Develop time series forecasts with Prophet, statsmodels or gradient-boosted approaches.
• Segment customers and build churn and lifetime value models.
• Pull and shape data with SQL from Snowflake, BigQuery or Databricks.

You might be a good fit if you

• 1+ years of applied data science experience.
• Strong Python (pandas, NumPy, scikit-learn) and SQL.
• Comfort with Jupyter, VS Code or Databricks notebooks.

Bonus points

• Causal inference beyond A/B testing.

What we offer

Compensation: $111,000 - $130,000 a year DOE.

• Health insurance.
• 401(k) with a 100% match up to 5%.
• 11 paid holidays.
• Life insurance.
• Referral program.
• Annual bonus.
• Flexible schedule.

Start: Immediately.

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