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Data Scientist in MWDN

Posted more than 30 days ago

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MWDN

MWDN

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Data Scientist віддалено 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. Our Client Offers: Flexible working hours. Paid time off. An awesome team dedicated to your growth. 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

Data Scientist

віддалено

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.

Our Client Offers:

  • Flexible working hours.
  • Paid time off.
  • An awesome team dedicated to your growth.


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.

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.


Our next steps:
✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Client coding interview — ✅ Test Task — ✅ The final Client interview — ✅ Offer

Who We Are:
Website : more about us and vacancies
Instagram : follow MWDN’s life
Facebook : follow our FB
Feel free to contact us without any hesitation!

Without experience
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