Data Scientist

Devire; Warszawa; Remote; PLN 240,000 - 320,000; Full time

Job summary

A leading consulting firm is looking for a Data Scientist to join an international team dedicated to delivering high-quality data solutions in the food and beverage industry. The role involves collaborating on innovative ML projects that will directly inform critical business decisions. Candidates should have extensive experience in machine learning, particularly within a B2B context, and possess strong communication skills to engage with various stakeholders.

Benefits

Medical healthcare

Sports membership

Additional benefits package

Qualifications

• 3+ years of experience building industrial machine learning solutions.
• Very good command of Python with git and testing.
• Solid knowledge of ML techniques and algorithms.

Responsibilities

• Participate in all stages of the data science lifecycle.
• Design and maintain machine learning models.
• Communicate results to non-technical stakeholders.

Skills

Machine Learning Solutions

Python

SQL

PySpark

Databricks

Data Visualization

Communication

Tools

Power BI

R Shiny

Git

Job description

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Devire IT Outsourcing is a form of cooperation dedicated to IT professionals, based on the principles of own business - B2B, implementing projects for clients running innovative and modern projects.

Our client is one of the world's largest food and beverage companies. They are looking for Data Scientist who will join their international team dedicated to delivering efficient and high-quality data solutions. In your role as a Data Scientist, you will collaborate with fellow Data Scientists, Analysts, and Engineers to drive innovation and develop top-notch analytical models and methods. Your skill, competence, and creativity will directly support and impact critical business decisions in areas of supply chain and marketing.

Requirements

• 3+ years of professional experience building and industrializing machine learning solutions.
• Very good command of Python and its use with version control (git) and testing.
• Practical knowledge of SQL, PySpark & Databricks.
• Experience in application of 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, in particular facilitation of grasping complex topics by broad audiences, including non-technical stakeholders.
• Track record of effective collaboration with IT / data engineering teams in development and production phases.

Nice to have:

• Broad familiarity with visualization tools (Power BI, R Shiny, etc.) and solutions based on them.
• Experience in cross-functional and/or international projects.
• Interest in codifying and disseminating knowledge & best practices.
• Knowledge of other languages used in data science (R, Julia, etc.) and their pros and cons.

Responsibilities

In this role you will:

• Actively participate in each stage of the data science lifecycle, from business understanding through model development to industrialization.
• Design, build, and maintain statistical/machine learning models to optimize business operations.
• Explore and experiment with innovative ML techniques and approaches to maximize value generated by the team.
• Be a thought leader in development of methodology within big-scale transformational projects.
• Communicate model & analysis results to a non-technical audience that includes stakeholders and senior management, and win their buy-in.
• Coach and mentor other team members on multiple aspects of a data scientist role.

The offer

• Additional benefits package (medical healthcare, sports membership, etc.).
• Possibility to cooperate with an international company with a stable market position.
• Remote position with occasional visits to the office every 1-2 months.