Data Scientist

Essential functions

• Collecting, analysis and clean up data
• Creating algorithms for processing catalog products using different data sources
• Experimenting with different models and neural networks, creating model ensembles
• Creating a workflow for publishing algorithms to production

Qualifications

• Formal education: Bachelor’s degree with six or more years of relevant work experience as a Data Scientist practicing model development and production for business applications; Or a Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with two or more years of relevant experience as a data scientist or machine learning engineer.
• Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL.
• Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
• Experience in data management and data analysis in a relational database, Hadoop and Spark.
• Experience with Cloud computing platforms - GCP
• Experience in productionalizing ML models - building data pipelines, model framework and model deployment.
• Desirable: PyTorch, Deep Learning, NLP, reinforcement learning, recommender system, etc.
• Strong communication and interpersonal influencing skills.
• Excellent problem solving and critical thinking capabilities.

Desired:

• A Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, or Data Science, with two or more years of experience in practicing machine learning and data science in business.
• Expertise in deep learning, NLP, reinforcement learning, recommender system, etc.
• Experience in leading large scale data science projects and delivering from end to end.

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.