OSI Engineering · 1 month ago
Data Scientist
OSI Engineering is a globally leading consumer device company headquartered in Cupertino, CA, seeking 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
Qualification
Required
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
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
Company
OSI Engineering
OSI Engineering is a premier Staff Augmentation and Managed Services partner for today's tech leaders and tomorrow's luminaries.
H1B Sponsorship
OSI Engineering has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (13)
2024 (7)
2023 (11)
2022 (5)
2021 (4)
2020 (4)
Funding
Current Stage
Growth StageCompany data provided by crunchbase