Jr. Data Scientist

About This Role

The Jr. Data Scientist will support Focus Camera's ecommerce platforms and adjacent teams by managing advertising campaigns, ensuring high-quality reporting processes, and assisting other departments with KPI reporting. This role involves data extraction, transformation, and analysis to identify trends and optimization opportunities.

Responsibilities

• 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
• Collaborate closely with cross-functional partners (marketing, product, engineering) to understand requirements and deliver actionable insights
• Contribute to process improvements, data architecture decisions, and best practices for analytics, ML, and data engineering workflows
• Support and help implement new data-driven strategies to achieve sales and marketing goals

Requirements

• 2+ years of experience using Python for data ingestion, analysis, and machine learning
• 2+ years of experience using SQL for data analysis and data pipeline development
• 1+ years of hands-on data engineering experience, including building and maintaining ETL pipelines
• Proven experience owning and building machine learning models from scratch
• 1+ years of experience with cloud platforms such as AWS and/or Azure
• Experience working with version control systems (Git/GitHub)
• Strong understanding of data modeling, validation, and analytics best practices

Qualifications

• 2+ years of experience using Python for data ingestion, analysis, and machine learning, and 2+ years of experience using SQL for data analysis and data pipeline development. 1+ years of hands-on data engineering and cloud platform experience.

Nice to Have

• 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
• Experience working with large-scale marketing or eCommerce datasets
• Background in Bayesian statistics, regression analysis, or causal inference
• Exposure to GCP in addition to AWS/Azure

Skills

* Required skills