Senior Data Scientist

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

• Bachelor's or Master's 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
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• 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.