A globally leading consumer device company headquartered in Cupertino, CA is looking for a Data Scientist to join their dynamic team! This role offers the opportunity to work on complex, large-scale datasets and directly influence data-driven decision making across multiple product and engineering teams.

Responsibilities:

• Design, create, refine, and maintain data processes and pipelines used for modeling, analysis, and reporting using SQL (ideally Snowflake and PostgreSQL), Python and pipeline and transformation tools like Airflow and dbt

• Conduct detailed data research on internal and external geospatial data (POI, geocoding, map layers, geometrics shapes), identify changes over time and maintain geospatial data (shape files, polygons and metadata)

• Operationalize data products with detailed documentation, automated data quality checks and change alerts

• Support data access through various sharing platforms, including dashboard tools

• Troubleshoot failures in data processes, pipelines, and products

• Communicate and educate consumers on data access and usage, managing transparency in metric and logic definitions

• Collaborate with other data scientists, analysts, and engineers to build full-service data solutions

• Develop and communicate architectures, code patterns and data structure design choices to team of data scientists, analysts and engineers laying out tradeoffs

• Optimize query and database performance through designing, creating, refining, and maintaining performance management system

• Work with cross-functional business partners and vendors to acquire and transform raw data sources

• Design, create, refine, and maintain data ingestion process

• Provide frequent updates to the team on progress and status of planned work

Required Skills:

• Simulation methodologies and applied experimentation

• Advanced statistical analysis and quantitative research techniques

• Development and validation of data science and analytical models

• Hands-on experience with machine learning algorithms and model optimization

• Building, training, and maintaining predictive models for large-scale datasets

Type: Contract

Duration: 12 months with extension

Work Location: Remote (CST hours)

Pay range: $ 67.00 - $ 82.00 (DOE)