Senior Manager, Machine Learning
FabFitFun is one of the best places to work and its amazing success (over 1 million members) has been achieved due to our incredible employees, dedicated leadership, inclusive corporate culture, and career growth opportunities. Guided by our company values, FFF seeks to maintain a work culture that encourages innovation, rewards creativity, values teamwork, and supports diversity, equity, and inclusion. The company endeavors to foster confidence, effectiveness, and success for all employees who work with these values every day.
We are looking for a Senior. Manager to play a leadership role in a diverse Machine Learning (ML) organization responsible for building algorithmically powered customer-facing data products and internal decision science tools. In this role, you will use machine learning and statistical models to analyze and solve problems, clean and explore data, test and deploy data services and tune and optimize existing algorithms. Our centralized team works with various departments on multiple projects and this role initially focuses on building cutting-edge algorithms to help automate inventory curation, optimization and personalization at scale.
What We’re Like:
- A collaborative learning culture: we work as a team to figure out solutions to the technological challenges of the day
- We focus on improving our customer's experience every day, all the while taking the time necessary to make sure we do things the best we can
- We celebrate innovation and want every member at FFF to have the power to experiment and find novel, effective solutions
What You’ll Do:
- Play a leadership role in the ML organization by leading one or more teams on large-scale data products (e.g., inventory forecasting, LTV prediction, constrained optimization, etc.), smaller-scale data products or internal tools or services.
- Lead a team of data scientists at various levels with accountability for performance and skill development.
- Create, engineer and train multiple statistical and machine learning models and features in Python or R and SQL.
- Utilize AWS, Databricks and other tools to build data-processing and storage pipelines that can scale to millions of rows with high performance.
- Independently write code that can be included in modules or services that are in production in the data pipelines of customer-facing services.
- Provide detailed feedback, suggested revisions and paths for improvements to models and analyses from other team members.
- Write clear documentation, model descriptions and results from analyses to explain results and architecture to other team members, business stakeholders and executives.
- Work with business stakeholders to identify goals and milestones for data products and develop plans over multiple releases and timescales (including architecture, major models to test and deliverables) to achieve those milestones.
- Partner with business stakeholders and executives and lead meetings for requirements-gathering and coordination.
What You’ll Bring:
- Degree (M.S. or Ph.D. preferred) in Statistics, Economics, Engineering, Computer Science or related quantitative field.
- Eight or more years experience in statistics, data science and machine learning, preferably in consulting and/or consumer facing businesses.
- Proven ability to clarify, solve and communicate complex business problems with solutions that are useable by non-technical audiences.
- Knowledge of machine learning algorithms (e.g., clustering, regression, classification, optimization, etc.) and statistical inference.
- Knowledge of Python, R, SQL, Spark or similar languages.
- Experience in using distributed computing tools to scale jobs and processing for very large datasets.
- Outstanding communication and presentation skills that include the ability to influence technical and non-technical co-workers and leaders.
- Experience in subscription e-commerce, retail or related domains is a plus.
What You’ll Get:
- Competitive salary, equity incentives and an amazing benefits package including medical, dental, vision, FSA and 401k
- The opportunity to work in a collaborative environment full of bright, driven, and happy people
- Be a part of one of the fastest growing companies in the US that is revolutionizing eCommerce
- Open/Flexible PTO policy - we trust our employees to manage their time!
- Free FabFitFun subscription and quarterly credit in the Add-Ons store
- Monthly cell phone reimbursement
- Monthly work from home stipend while the company is temporarily remote