Machine Learning Data Scientist
Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands. They are seeking a Machine Learning Data Scientist to contribute to the company’s AI transformation by applying machine learning and AI to real-world, revenue-impacting problems.
Responsibilities
- Work end-to-end on machine learning and AI projects, from problem definition and data exploration to modeling, deployment, and impact measurement
- Conduct experiments (A/B testing, offline evaluation) to validate model performance and business impact
- Collaborate cross-functionally with product, engineering, and business teams to translate business problems into technical solutions
- Continuously improve models through iteration, monitoring, and feedback loops
- Contribute to building data pipelines, feature engineering frameworks, and model infrastructure
- Communicate insights, results, and recommendations clearly to both technical and non-technical stakeholders
Skills
- Bachelor's degree required
- Strong foundation in machine learning, statistics, and algorithms
- Proficiency in Python and common ML/data libraries
- Solid understanding of data processing, feature engineering, and model evaluation
- Strong curiosity and willingness to learn in a fast-evolving AI landscape
- Ownership mindset with the ability to drive projects end-to-end
- Passion for applying AI to real-world problems and delivering measurable impact
- Effective communication skills and ability to work in cross-functional teams
- Master's or Ph.D. preferred
- Experience building, deploying, or maintaining machine learning models or data-driven systems is a strong plus
- Experience with experimentation (A/B testing) and measuring impact is preferred
- Experience in areas such as deep learning, LLMs, and AI agents is a plus
- For new graduates, strong project experience or internship experience is highly valued
Benefits
- 401(k) match
- Health insurance options
- Disability coverage
- Life insurance
- Unlimited paid time off
Company Overview