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  • Data Scientist
    New
    Data

    Data Scientist

    Warszawa
    2 964 - 3 458 USDGross/month - Permanent
    22 - 27 USDNet/month - B2B
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    B2B, Permanent
    Operating mode
    Remote
    Lingaro

    Lingaro

    Lingaro - an award-winning tech partner to global leaders. Our clients include Fortune 500 companies whom we provide with cutting edge solutions. We attract the best talents from the IT industry as well as the most promising rising stars.

    Company profile

    Tech stack

      Python

      advanced

      PySpark

      regular

      Databricks

      regular

      Forecasting

      regular

      Azure

      junior

    Job description

    Online interview

    Responsibilities:

    • Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodology.
    • Work on existing time series forecasting repositories.
    • Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, hypothesis testing, transforming findings into tasks, sharing know-how and working on projects as a SME of Supply Chain area.
    • Proactive approach for areas where improvement is needed, like suggestions of improving existing pipelines (tests, support, and improvements).
    • Propose new experiments to improve model accuracy.
    • Improve existing python code according to programming best practices.
    • Work closely with optimizing PySpark code.
    • Deploy workflows/pipelines on Databricks.
    • Work on implementing new forecasting models.


    Expectations:

    • At least 3 years of experience in related field.
    • Strong knowledge of Python (OOP, decorators, best practices).
    • PySpark - ability to write well optimized pyspark code.
    • Databricks – knowledge of how workflow/pipelines work. Knowledge of databricks structure and ml related functionalities.
    • Knowledge of forecasting methods (lgbm, xgbost, statistical methods etc.).
    • Knowledge of other ML methods (clustering, regression, classification).
    • Experience with Data Analysis, Data Mining, Statistics or Optimization methods.
    • Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability).
    • Ability to work independently and can do attitiude.
    • Experience in working with client-facing role.
    • Good communication skills.
    • Basic knowledge of Azure tools.


    What we offer:

    • Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
    • “Office as an option” model. You can choose to work remotely or in the office. 
    • Great Place to Work® certified employer.
    • 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. 
    • Unlimited access to the Udemy learning platform from day 1.
    • Internal Gallup Certified Strengths Coach to support your growth.
    • 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.


    2 964 - 3 458 USD

    Gross/month - Permanent

    22 - 27 USD

    Net/month - B2B

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