Position: Senior Data Scientist
Company: Grid Dynamics
Experience required: 5y
English level: upper

**Responsibilities:**
Building new predictive models for manufacturing lifecycle
Maintaining and improving current data pipeline based on existing predictive models
Developing analytics pipeline based on AWS Step functions
Supporting analytics infrastructure in AWS cloud
Communicate with business stakeholders to clarify their requirements and present the teamwork results

**Requirements:**
Senior ML/MLOps Engineer with 5+ years of experience
Good knowledge of the probability theory and statistics
Experience with AWS ecosystem (AWS Lambda, AWS Fargate, AWS Glue, AWS SageMaker, AWS S3)  is required 
Experience with basic ML/data science libs and tools (python, XGBoost, scikit, NumPy, pandas, Jupiter, etc)
Experience with Bash, AWS SQS/SNS, PySpark, AWS Step Functions will be a plus
Hands-on experience with data preparation, cleansing, feature engineering, and visualization
Strong working knowledge of SQL
Good communication skills and interpersonal skills.
Experience in working across different global cultures a plus.
Ph.D. in Mathematics will be a plus.

**We offer:**
Opportunity to work on bleeding-edge projects
Work with a highly motivated and dedicated team
Flexible schedule
Medical insurance
Benefits program
Corporate social events
Professional development opportunities