Act as a technical lead within the data team to advance our recommendation & search algorithms. You will focus on improving the relevance & quality of inventory impressions that are served to prospective buyers.
Develop proprietary AI/ML solutions that reflect our unique marketplace dynamics (peer-to-peer exchange of second hand clothing & accessories that are represented as “one-of-one” listings in the market.)
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, whether it be application of existing models or the need for the development of new model(s), and take ideas through all phases, from proposal to alignment to execution
Establish best practices for training, development and maintenance of data models. This includes using A/B testing and communicating results to stakeholders.
Own the deployment of trained models into production in collaboration with Data or ML Engineers. You will be responsible for ensuring reliable, observable deployment into Snowflake using DBT, integrating with existing data pipelines and platform infrastructure, and maintaining version control of code and configurations via Git.
Mine user data to identify opportunities for personalization improvements. This includes defining and tracking KPIs related to personalization effectiveness.
Develop and maintain data models in Snowflake to support analytical and reporting needs, providing insights to business stakeholders across various departments.
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, such as identifying keywords or phrases associated with scams, requests for off-platform transactions, or attempts to phish for personal information.
Collaborate with product managers, engineers, designers, and business stakeholders to understand their data needs and provide data-driven solutions.

Requirements

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 faced 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

Benefits

401K
Paid time off
Dental insurance
Medical insurance
Vision insurance
Disability insurance options
Life insurance options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AIMLdata modelingA/B testingPythondata analysisKPI trackinguser data miningmodel deploymentversion control

Soft Skills

cross-functional communicationstorytelling with datamentoringproblem identificationproactive approachstakeholder communicationcollaborationautonomyorganizational perspectiveanalytical skills

Certifications

graduate degree in data sciencegraduate degree in analyticsgraduate degree in mathematicsgraduate degree in machine learninggraduate degree in computer science