Data Scientist

Responsibilities:

• Active contributor to code development in projects and services.
• Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
• Build complex datasets for Model Consumption from multiple data elements. Support building data ingestion pipelines for optimal efficiency.
• Partner with ML engineers and data scientists regarding data pipelines and data versioning and create scalable model ready data.
• Partner with Data Scientists & ML engineers working on model industrialization.
• Support the creation of reusable packages or libraries.

Qualifications:

• 2+ years working in a team to deliver production level analytic solution.
• 2+ years’ experience in ETL and/or data wrangling techniques.
• 2+ Experience in Databricks and Spark, including Databricks integration with ML models.
• 1+ years’ experience in developing business problem related statistical/ML modeling with industry to.ols with primary focus on Python or Scala development.

Key Skills:

• Collaboration,
• Problem-solving.
• Effective communication.
• Programming.
• Statistics and probability.
• Data wrangling and database management.