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| Data | Full-time | Fully remote
, ,Our client is a New York-based, tech-driven prestige beauty brand that is shifting millions of customers to shopping for beauty online.
They are building a disruptive, next-generation e-commerce experience for shopping makeup online by creating cutting-edge digital products and combining the worlds of e-commerce and social media.
They have more than 250 employees, in NYC, Tel-Aviv, Ukraine, and Serbia. The tech team in Kyiv includes 40 smart & talented Software Engineers & QAs.
Skills Required:
- SQL proficiency: Ability to write, debug, and optimize queries
- Data visualization: Experience with Looker or similar BI tools (Tableau, Power BI, etc.)
- A/B testing platforms: Familiarity with Optimizely or general experimentation methodology
- ETL/Data wrangling tools: Experience with Alteryx is a big plus; otherwise, comfort with general ETL or Python/pandas workflows
- Data Engineering Basics
- Comfort working with large datasets or joins across multiple tables
- Comfort in cleaning, merging, and transforming data - possibly in Python or with Alteryx workflows
- Excel/Google Sheets: Proficiency with foundational tools like pivot tables, formulas (e.g., VLOOKUP, INDEX/MATCH)
- Good spoken and written English communication skills (upper-intermediate of above)
Ideal Skills Could Also Include:
- Programming – Python (preferred) or R for data manipulation, analysis, or light modeling
- Statistical & Modeling Knowledge
- Familiarity with regression (linear/logistic), classification, clustering (e.g., k-means), and basic time series analysis
- Bonus: exposure to causal inference methods (e.g., propensity score matching)
- Machine Learning Concepts
- Understanding of when to use various model types
- Comfort with evaluation metrics (e.g., precision, recall, F1 score, RMSE)
- Hands-on experience training simple models (e.g., in scikit-learn)
- Version Control
- Basic Git skills for collaboration and tracking scripts or notebooks
- Cloud/Data Environments
- Bonus for experience with GCP, AWS, or platforms like Databricks or BigQuery
Benefits and working conditions:
- Competitive salaries
- 20 working days paid vacation, including paid compensation if the vacation days weren’t used
- Health insurance including dentist
- Gym membership
- Training programs and coaching to support career development and more
- Corporate celebrations, team building events, fun activities, and more