Act as a technical lead within the data team to advance our recommendation & search algorithms.
Develop proprietary AI/ML solutions that reflect our unique marketplace dynamics.
Form a high-level perspective on objectives across departments in the organization and how advanced data methods might solve complex business problems.
Be able to autonomously and proactively identify business problems that could benefit from data solutions.
Establish best practices for training, development and maintenance of data models.
Own the deployment of trained models into production in collaboration with Data or ML Engineers.
Mine user data to identify opportunities for personalization improvements.
Develop and maintain data models in Snowflake to support analytical and reporting needs.
Use Python to create ML models and structure the resulting data into a consumable flow.
Develop user-to-user mapping capabilities to enhance personalization.
Utilize search technologies (i.e. Algolia, AWS OpenSearch) to enhance product discovery and personalization.
Analyze message content to detect potentially fraudulent activities.
Collaborate with product managers, engineers, designers, and business stakeholders to understand their data needs.

Graduate degree in data science, analytics, mathematics, machine learning, computer science, or related field a plus
Demonstrated track record of applying analytical skills in a product or business setting may substitute for formal advanced education.
8+ years of relevant work experience in a data or quantitative role, demonstrated success in a startup, high-growth or fast paced organization
Experience in marketplace, e-commerce, or fashion/retail domains preferred
Experience with web + App product environment preferred
Experience with Marketing analytics a bonus
Demonstrated success in nontechnical, crossfunctional partner communication
Ability to tell a story with data, explaining complex concepts or results to audiences ranging from C-suite to IC levels
History of mentoring or developing teammates
Ongoing learning (e.g. relevant certifications; open-source contributions; personal projects; etc.) is a plus and shows initiative

Senior Machine Learning Engineer

Key skills