Machine Learning Data Scientist at Gen · USA -…

Summary: 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 Required Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: Machine Learning, Python, Statistics Important Skills: Deep Learning, Data Processing Nice-to-Have Skills: Curiosity, Ownership Mindset Benefits: 401(k) match, Health insurance options, Disability coverage, Life insurance, Unlimited paid time off