Data Analyst Scientist

Lead Data Scientist

India, Poland

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Data Analyst tablet&mobile
  • Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)

  • Analyzing and interpreting the findings

  • Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes

  • Pre-sales activities

  • Min. 3 years of experience with Machine Learning (ML) and one of the following areas: Forecasting, Computer Vision (CV) or Natural Language Processing (NLP) projects

  • Very good knowledge of Python

  • Excellent English skills

  • Familiarity with theory behind various machine learning concepts

  • Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment

  • Basic skills in SQL

  • Knowledge of specific DS/ML/CV/NLP libraries

  • Pro-active and customer-oriented approach

  • Strong business acumen

  • Ability to come up with creative solutions to address customer problem

  • Team-player mindset

  • Stable employment. On the market since 2008, 1200+ talents currently on board in 7 global sites.

  • “Office as an option” model. You can choose to work remotely or in the office.

  • Flexibility regarding working hours and your preferred form of contract.

  • Comprehensive online onboarding program with a “Buddy” from day 1.

  • Cooperation with top-tier engineers and experts.

  • Certificate training programs. Lingarians earn 500+ technology certificates yearly.

  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.

  • Grow as we grow as a company. 76% of our managers are internal promotions.

  • A diverse, inclusive, and values-driven community.

  • Autonomy to choose the way you work. We trust your ideas.

  • Create our community together. Refer your friends to receive bonuses.

  • Activities to support your well-being and health.

  • Plenty of opportunities to donate to charities and support the environment.

  • Modern office equipment. Purchased for you or available to borrow, depending on your location.


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