Position: Data Scientist / Data Analyst
Category: Data Science
English level: upper
Years of experience: 5


ETL pipeline for automatic onboarding and preprocessing of different "products" of new "customers" on the B2B platform (AWS Glue/Lambda/Step function + PySpark + PostgreSQL, business details NDA, automotive niche)

Optimization and refactoring of PySpark ETL jobs

A/B Test Framework (Python modules + Jupyter, tools for ab testing specially made for product needs)

Spam/Scum Filter (Flask + scikit-learn (bayesian + logreg) + specific language preprocessing for product with slavic location)

Marketing ROI Prediction (Tableau Online + Big Query + Python ETL + simple prediction model)

Full Reporting (Tableau Online + BigQuery, Python scripts that generate PDFs for C-level mail, Grafana)

Product/Marketing Metric Alerting System (Python scripts with models + Slack)

Auto Photo Moderation (Automation decline of photo if there are no person or more than 1 person, YOLO + Flask)

Addition skills: 200+ A/B tests, different calculators/alertings/tools in Tableau/Python/GoogleSpreadSheets, product metric modeling, user segmentation, product analytics/managment

Domain: Online Dating, Digital Marketing, FinTech, Mechanical Engineering

I want to work with the interesting product and solid team that can give me opportunity to improve my engineering skills (ML/DE). In case of Product Analyst role, I would like to work with the product that I could use myself for better immersion.
I dont want to work with grey/black niches (casino, betting, hook up, scum, etc)