Job Description
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 Gen is a cybersecurity company that offers security, identity protection, and privacy solutions. It was founded in 2022, and is headquartered in Tempe, Arizona, USA, with a workforce of 5001-10000 employees. Its website is