Jr Data Scientist

Focus Camera is a family-owned business specializing in consumer electronics and pro audio. They are seeking a Junior Data Scientist to support their ecommerce platforms by managing advertising campaigns and ensuring high-quality reporting processes, with a focus on accurate reporting and maintaining reporting pipelines.

What you'll do:

• Extract, transform, and analyze data from advertising platforms (e.g., Google Ads, Amazon Ads) and internal databases using SQL and Python to identify trends, anomalies, and optimization opportunities
• Design, build, and maintain production-grade ETL pipelines using SQL and Python; improve reliability, scalability, and data quality
• Own the end-to-end development of machine learning models, including problem formulation, feature engineering, training, evaluation, deployment, and iteration
• Develop and experiment with advanced modeling techniques, including reinforcement learning, regression, and other statistical/ML approaches to improve marketing and sales outcomes
• Maintain and enhance internal dashboards and reporting tools used to track advertising and business performance (e.g., Power BI)
• Perform ad-hoc analysis to support strategic decisions across marketing, growth, and operations

What they're looking for:

• 2+ years of experience using Python for data ingestion, analysis, and machine learning (R acceptable background, but Python is required for this role)
• 2+ years of experience using SQL for data analysis and data pipeline development
• MySQL and/or Microsoft SQL Server preferred
• 1+ years of hands-on data engineering experience, including building and maintaining ETL pipelines
• Proven experience owning and building machine learning models from scratch (not just tuning or consuming existing models)
• 1+ years of experience with cloud platforms such as AWS and/or Azure
• Experience working with version control systems (Git/GitHub) in a collaborative environment
• Strong understanding of data modeling, validation, and analytics best practices
• Experience with reinforcement learning or experimentation-driven ML systems
• Hands-on experience with Google Ads, Amazon Ads, or other eCommerce advertising platforms
• Familiarity with SEO analytics and organic search performance measurement
• Experience with Power BI or similar dashboarding/BI tools

Benefits:

• 401(k)
• Health insurance
• Paid time off