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Data Scientist

Europe Europe (remote) Remote (Ukraine) Ukraine Data Science Engineering Python
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Required skills

Python / strong
PySpark / strong
SQL / strong
ML / strong
English / strong

We are looking for a Data Scientist to join one of our teams and help us develop great products for our clients.

Join a globally recognized company where innovation meets impact. With a team of seasoned professionals and a culture built on excellence, we deliver top-tier AdTech solutions that shape industries and drive meaningful results.

Become part of a Competence Center where your expertise will be valued, your voice will be heard, and your career will be empowered.

Customer

Our client is an international technology company that specializes in developing high-load platforms for data processing and analytics. The company operates globally, serving clients primarily in the Marketing and Advertising domain. It focuses on modern technologies, microservices architecture, and cloud-based solutions.

Project

The client’s primary product assists businesses in managing large volumes of data, building models, and gaining actionable insights.

Requirements

  • At least 3 years of experience applying machine learning, statistical modeling, and data mining techniques to real-world business problems
  • Proficient in Python or R
  • Strong SQL skills and experience with big data tools (Hive, Spark)
  • Hands-on experience with PySpark or SparkR
  • At least Upper-Intermediate level of English

Personal Profile

  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders
  • Detail-oriented, able to prioritize and meet deadlines
  • Strong problem-solving and decision-making skills, with a focus on driving results and meeting deadlines
  • Self-motivated, adaptable, and eager to learn new technologies and frameworks

Responsibilities

  • Assist in developing and deploying machine learning models and data-driven solutions
  • Analyze data sets to provide business insights and improve product performance
  • Build and maintain data pipelines using big data tools and frameworks under guidance
  • Collaborate closely with the Engineers, Analysts, and Product teams to deliver results
  • Perform data cleaning, feature engineering, and model evaluation
  • Support the testing and validation of models to ensure their accuracy and reliability
  • Continuously learn new data science techniques and technologies
  • Participate in team discussions and contribute to process improvements
Meet your team!

WHY US

  • Diversity of Domains & Businesses
  • Variety of technology
  • Health & Legal support
  • Active professional community
  • Continuous education and growing
  • Flexible schedule
  • Remote work
  • Outstanding offices (if you choose it)
  • Sports and community activities

REF3565K

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