Engine - Senior Data Scientist - Content

• Experience: 5+ years of industry experience as a Data Scientist/ML Engineer in high-growth environments. • Technical Skills: Strong expertise in machine learning algorithms and statistical modeling, with proficiency in Python (including scikit-learn, numpy, and pandas) and SQL. Experience with Snowflake and Streamlit is a plus. • Education: MS/PhD in a quantitative discipline such as Mathematics, Statistics, Operations Research, Economics, Engineering, or Computer Science. • Education: • Problem-Solving Mindset: A bias toward simple, effective ML solutions before diving into complex approaches. • Problem-Solving Mindset: • Communication Skills: Ability to present findings clearly to both technical and non-technical stakeholders. • Adaptability: Thrive in a fast-paced, dynamic environment with a willingness to take initiative and drive meaningful impact. • Adaptability: • Applications for this role will be accepted through 04/026/2026 or until the role is filled. We encourage you to apply early, as we may begin reviewing applications before the deadline. • CompensationOur compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, all roles receive equity. Depending on the role, total compensation may also include an annual bonus. Your recruiter will share your complete compensation package as you move through the process.