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Senior Data Scientist
  • Warsaw
Senior Data Scientist
Warszawa, Warsaw, Masovian Voivodeship, Polska
Grid Dynamics International, Inc.
25. 2. 2025
Informacje o stanowisku

We are seeking an experienced Senior Data Scientist to join our dynamic team, leveraging advanced data science techniques and cutting-edge technologies to drive actionable insights from complex datasets. As a Senior Data Scientist, you will play a key role in developing and deploying machine learning models, particularly focusing on classic ML methodologies, text preprocessing, and statistical analysis. You will work extensively with Python, LLM (Language Model), prompt engineering techniques, and various Google Cloud tools such as BigQuery, Dataflow, and PySpark.

Essential functions

  • Design, develop, and implement machine learning models and algorithms for various predictive and optimization tasks.
  • Conduct exploratory data analysis, feature engineering, and text preprocessing to prepare data for modeling and analysis.
  • Collaborate with cross-functional teams to understand business objectives and translate them into analytical solutions.
  • Utilize statistical techniques to derive insights and validate model performance.
  • Employ prompt engineering methods to optimize natural language processing (NLP) models.
  • Leverage Google Cloud services such as BigQuery, Dataflow, and PySpark for data processing and analysis tasks.
  • Develop and maintain scalable data pipelines for data ingestion, transformation, and model deployment.
  • Drive innovation by exploring and integrating emerging technologies and methodologies in data science.

Qualifications

  • Proven experience (5+ years) in developing and deploying machine learning models using classic ML techniques.
  • Strong proficiency in Python programming and popular libraries (e.g., Pandas, NumPy, scikit-learn) for data manipulation and modeling.
  • Extensive knowledge and practical experience in text preprocessing and NLP techniques.
  • Solid understanding of statistical analysis and hypothesis testing.
  • Experience with LLM (Language Model) and prompt engineering techniques.
  • Proficiency in working with Google Cloud Platform (GCP) services, particularly BigQuery, Dataflow, and PySpark.
  • Ability to work independently, manage multiple projects simultaneously, and collaborate effectively within a team environment.
  • Excellent problem-solving skills and a strong analytical mindset.
  • Effective communication skills with the ability to explain complex concepts to technical and non-technical stakeholders.

Would be a plus

  • Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field; PhD preferred.

We offer

  • Opportunity to work on bleeding-edge projects
  • Work with a highly motivated and dedicated team
  • Benefits package - medical insurance, sports
  • Corporate social events
  • Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization , and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.

All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.

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