Joom Pulse is a data platform that provides analytics and recommendations for marketplace sellers. Its features allow you to review the most profitable products, know the estimated profit of buying directly from the supplier, discover the categories with the greatest growth potential and explore profitable ways to expand your business. Joom Pulse helps make e-commerce data easy to understand and efficient for all sellers.
Joom Pulse is one of the key businesses of Joom, international group of e-commerce companies that was founded in 2016 in Latvia. Joom also includes the following businesses: Joom Marketplace, a platform for shopping from all over the world; Onfy, a pharmaceutical marketplace in Germany, and JoomPro, a platform for cross-border wholesale trade. Joom’s offices are located in Latvia, China, Hong Kong, the USA, Germany, Brazil and Portugal. Joom Group has HQ in Lisbon, Portugal.
Currently, we are looking for an Analyst for 2 main ML areas:
- LLM (AI Assistant)
- Time-Series Forecasting & Anomaly Detection
All results will be implemented directly into the product, so this role involves both developing models and deploying them into production (using Python FastAPI). The position includes not only data analysis, hypothesis
Responsibilities
- Data storage and requesting data from the development team
- User behavior analysis
- Identifying growth opportunities for the product
- Ad hoc research
- Generating product hypotheses
- Building models to predict user behavior on marketplaces
- Product analysis and sales forecasting, including identifying seasonality and trends
- Enhancing the quality of our AI assistant’s performance
Requirements
- 3+ years of experience in data analysis
- Knowledge of mathematical statistics and practical experience applying it
- Strong programming skills in Python (Pandas, Numpy)
- Ability to write complex SQL queries
- Skill in selecting appropriate data evaluation methods: analytics, research, or using external data
- Ability to tackle complex problems in situations with incomplete data
- Attention to detail and ability to see tasks through to completion
- Industry experience in Machine Learning: understanding of core modeling and training approaches, ML development experience (raw data analysis, hypothesis formulation, model creation, experimentation, and deployment into production)
Preferred
- Experience in B2B
- Presenting results and data visualization
We are offering
- Flexible working hours and 22 days of paid annual leave
- Extended health insurance for the employees and their families, including dental care coverage
- 100% paid sick leaves
- Personal development: professional events, workshops, English classes, corporate library
- Daily meal allowance
- Annual team retreats
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Last updated on Feb 11, 2025