Machine Learning Engineer

2 tygodni temu

Warszawa, Mazovia, Polska Nestlé SA Pełny etat

Data Science Hub Europe:

Join our team of expert Data Scientists and contribute to driving innovation and delivering high-quality data solutions. As a Machine Learning Engineer, you will be responsible for designing, building, and maintaining statistical/machine learning models that optimize business operations.

Your Key Responsibilities:

  • Participate in each stage of the data science lifecycle, from business understanding through model development to industrialization.
  • Develop and maintain statistical/machine learning models to optimize business operations.
  • Experiment with innovative ML techniques and approaches to maximize value generated by the team.
  • Lead the development of methodology within big-scale transformational projects.
  • Communicate model & analysis results to a non-technical audience, including stakeholders and senior management.
  • Mentor other team members on multiple aspects of a data scientist role.

Requirements:

  • 2+ years of professional experience building and industrializing machine learning solutions.
  • Proficiency in at least one language employed in ML & statistical analysis (Python or R preferred) and its use with version control (git) and testing.
  • Practical knowledge of SQL.
  • Experience in applying ML concepts and methodologies (regression and classification, time series modeling, feature engineering and selection, regularization, etc.).
  • Solid knowledge of ML techniques and algorithms (incl. various regression types, ensembles, clustering, decision trees, boosting, etc.) and their pros and cons.
  • Ability to reframe business challenges into data science problems and adjust ML methods & tools accordingly.
  • Good communication and presentation skills, including facilitation of grasping complex topics by broad audiences.
  • Track record of effective collaboration with IT/data engineering teams in the development and production phase.

What We Offer:

  • Dynamic work environment in a multicultural team of bright minds.
  • Flexible work arrangements, including remote work options or access to a modern office.
  • Internal training programs and access to external knowledge resources to expand your skills and competence.
  • Support in building your ML skills and portfolio through participation and presenting at conferences and events.
  • Opportunities to grow and develop within our Data Science Hub and the international organization.
  • Full-time contract option.
  • Fringe benefits, including private medical care, pension fund, cafeteria program, Multisport card, co-financing of meals in the company's canteen, discounts for Nestlé products.

Nestlé is committed to making its recruitment process accessible. Please discuss any adaptations needed during the process with your recruiter. All information will be treated confidentially.

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