Data Scientist
About The Position
MWDN company is looking for a self-motivated and goal-oriented Data Scientist who would like to be a part of a team working on brand-new startup projects for foreign customers.
Requirements
- 5+ years of experience developing ML solutions in production environments.
- M.Sc. in computer science, statistics, or other similar fields.
- Good coding skills (preferably in Python).
- Deep understanding of Tabular data models, working with imbalanced data, model explainability, working with noisy labels, etc.
- Has mileage with different aspects of MLOps – model versioning, monitoring, serving, etc.
- Experience with CV models (face and object detection) – advantage.
- Upper-intermediate level of English.
About the project
Our client, an Israel-based, fast-growing AI startup, leverages the combined power of feature engineering and psychology to predict future behaviors. Years of research by their in-house clinical psychologists and top AI experts fueled this innovative approach. Today, they help financial institutions and insurance companies predict the future actions of their clients.
Do you have a passion for extracting insights from massive datasets and collaborating with stakeholders to drive business success? Then apply for the open position below!
Responsibilities
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive new product solutions.
- Mine and analyze data from company databases to drive optimization and improvement of product development, improving existing models, and developing new models.
- Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Benefits
- Flexible working hours.
- Paid time off.
- An awesome team dedicated to your growth
Our next steps
✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Client coding interview — ✅ Test Task — ✅ The final Client interview — ✅ Offer
Alexandra Studenikina・Recruiter
