Data Scientist — Remote & Flexible Hours, ML & Product Impact

Inovetix; Chicago (IL); Hybrid; USD 120,000 - 165,000; Full time

Benefits offered by this job

Competitive salary

Flexible hours

Remote-friendly culture

Large-scale datasets access

Education budget

Job summary

Inovetix is seeking a Data Scientist to transform product telemetry and customer signals into actionable insights, models, and product improvements. You'll collaborate with PMs and engineers to ship data-driven features end-to-end.

You will design experiments, build models for recommendations and segmentation, and develop dashboards that surface across the organization, while partnering with engineering to productionize models and monitor performance.

Qualifications

• 4+ years of applied data science experience.
• Strong Python and SQL skills; comfort with one of pandas / Polars / Spark.
• Hands-on experience training and evaluating ML models.
• Familiarity with experimentation methodology (A/B testing, causal inference).
• Background in statistics, computer science, or a quantitative field.

Responsibilities

• Design and run experiments that inform product and business decisions.
• Build models that power recommendations, segmentation, and predictive features.
• Develop dashboards and reports that surface insight across the org.
• Partner with engineering to productionize models and monitor their performance.
• Communicate findings clearly to technical and non-technical audiences.

Skills

Python

SQL

ML modeling

Experimentation

Education

Statistics background

CS or quantitative field

Tools

Pandas

Polars

Spark

Job description

Inovetix is seeking a Data Scientist to transform product telemetry and customer signals into actionable insights, models, and product improvements. You'll collaborate with PMs and engineers to ship data-driven features end-to-end.

You will design experiments, build models for recommendations and segmentation, and develop dashboards that surface across the organization, while partnering with engineering to productionize models and monitor performance.