Senior Data Scientist

Why we are recommending

• Opportunity to work on bleeding-edge projects.
• Opportunity for long business trips to the US and possibility for relocation.

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.

They 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.