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Senior Data Scientist 🔥


Our mission at Netguru is to help entrepreneurs and innovators shape the world through beautiful software. We care about trust, taking ownership, and transparency. As a Certified B Corporation®, we offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback. If you want to work from home and be a full time employee, great! We want to create the right opportunities for you.

  • Requirements: 2 years of experience in Data Science / Machine Learning, deep knowledge about data analytics, data manipulation, statistical analysis, experience in Python, proficiency of SQL and Git
  • Paid days off: 20 days for B2B
  • Perks & benefits: 1 000 PLN home office bonus, flextime and flexplace, Multisport card, private health insurance, discounts on Apple products, development budget, access to Worksmile Platform and more.

Joining Netguru as a Senior Data Scientist means:

  • Using Data to discover relevant insights and build advanced models which are powerful in solving business optimization problems
  • Refining, challenging, and supporting requests from stakeholders and creating new data analyses based on commonly defined specifications.
  • Analyzing trends in client data and providing insights and explanations to their teams to improve their operations using data.
  • Identifying use cases for Predictive and Prescriptive analytics, forming the scope, and discovering the optimal solution with statistical and machine learning methods
  • Working in an experienced and knowledgeable team, in an Agile environment.
  • Dev-friendly processes like Continuous Integration and Code Review.
  • Continuous development of your hard and soft skills (e.g. at internal webinars, external conferences, meetups, etc.).
  • Growing yourself and the people around you – you will give and receive regular feedback in a team of open-minded people that will always have your back.
  • Ambitious and verified projects – our clients come from all over the world and from different industries.
  • Enjoying flextime and flexplace – adjust your daily schedule to your individual needs, work from the office or from home.
  • Working on the best equipment – we will provide you with a Macbook and additional accessories for your computer to make your work even more efficient and comfortable.
  • A smooth start – your leader and mentor will support you along the way :)

Requirements

Ready to apply? This is what we are looking for:

  • At least 2 years of proven experience in Data Science / Machine Learning
  • Deep knowledge and understanding of different types of Data Analytics.
  • Knowledge and proven commercial experience in:
    • data manipulation (ETL, data wrangling, data preparation, feature engineering)
    • statistical analysis (EDA, statistical inference)
    • machine learning (classification, regression, time series, segmentation, recommender systems)
  • Strong experience in Python and its data ecosystem (numpy, scipy, statsmodels, pandas, scikit-learn, matplotlib, seaborn, plotly).
  • Proficiency of SQL, git.
  • Ability to advise, negotiate, and be proactive in contact with stakeholders.
  • Strong analytical skills and attention to detail; the ability to research and to derive insights from large amounts of data.
  • Strong critical thinking and problem-solving abilities, questioning the status quo, and assertively striving to implement new solutions.
  • Strong verbal and written communication and presentation skills.
  • Very good command of written and spoken Polish and English required.

Benefits

Perks & benefits:

  • Access to the WorkSmile platform offering benefits adapted to your preferences:
    • Multisport card,
    • Private health insurance package,
    • Life insurance,
    • And hundreds of other options to choose from 15 categories (shopping, leisure, travel, food, etc.)
  • Support for your growth – a manager’s budget available for individual’s and team’s development initiatives,
  • Discounts on Apple products,
  • One-time 1000 PLN home office bonus,
  • Home office equipment sharing option,
  • Various internal initiatives: webinars, knowledge sharing sessions, internal conferences [1].

  1. https://www.netguru.com/blog/burning-minds-our-biggest-internal-conference

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