Data Scientist (Python/GCP)

We are looking for a skilled Mid Data Scientist to join our data team. In this role, you will be responsible for extracting valuable insights from complex datasets, building predictive models, and contributing to data-driven decision-making. You will work in a modern technical environment, collaborating closely with engineering and product teams to turn raw data into scalable machine learning solutions. Responsibilities - Analyze large, complex datasets to identify trends, patterns, and actionable insights. - Design, train, and deploy machine learning models into production environments. - Write clean, maintainable, and efficient code to support data processing and model training. - Collaborate with data engineers to optimize data pipelines and ensure data quality. - Translate complex analytical findings into clear, business-focused recommendations for stakeholders. Requirements - Proven commercial experience as a Data Scientist or in a similar analytical role. - Strong proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-Learn). - Solid hands-on experience with SQL and querying relational databases. - Strong, practical experience working with Google Cloud Platform (GCP). - Practical knowledge of designing, evaluating, and deploying Machine Learning algorithms. - Strong problem-solving skills and the ability to work effectively in cross-functional teams. Nice to have - Familiarity with Big Data technologies (e.g., Apache Spark, Hadoop). - Knowledge of Deep Learning frameworks (e.g., TensorFlow, PyTorch). - Experience with ML model deployment and MLOps practices. 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.