Description
About Moonshot Brands
We are Moonshot Brands, a Y-combinator-backed company (W21) with $160M in debt and equity funding from leading Silicon Valley VC firms, including Victory Park Capital, Liquid 2 Ventures (Joe Montana), and Garage Capital. Among our founding team of MIT Sloan and Wharton graduates, we have operated and sold five businesses and have come together as Moonshot Brands to acquire, operate, and grow profitable e-commerce brands.
From our experience, we want to build the acquisition process that we wish we could have had and to provide the post-acquisition resources to grow your business to its fullest potential. As entrepreneurs ourselves, we believe in empowering our founders, giving them a stake in Moonshot’s continued success, and collaborating with an all-star team to change the e-commerce landscape. We connect our portfolio to growth capital, data, and expertise in operations, marketing, supply chain management, and product development to provide owner-operators with infrastructure to grow and compete at scale. Moonshot is building a technology-centric ecosystem to provide our portfolio with cutting-edge tools and data-driven insights to succeed in global marketplaces. From inventory forecasting to performance marketing and automation, we are building the technology that allows brands to achieve peak performance and win in their markets.
If you’d like to be part of this Moonshot which will be a fun fast-paced rocketship that will drive the future of e-commerce brands and you think you add significant value to our mission we’d love to hear from you.
About The Role
Moonshot Brands is seeking a high-performing Machine Learning Engineer to support both our internal and portfolio company operations. In this role you will work to uncover patterns and generate insights by building and deploying predictive machine learning models that assist with our sourcing and optimization of portfolio company sales, marketing and operations. The candidate will have exposure across all of Moonshot’s portfolio companies and create broad top-down strategies as well as brand specific solutions based on analytical rigor. The Data Scientist will also provide perspective on Moonshot’s collection of data that will be analyzed to inform future business decisions. This role requires a high level of autonomy.
As Machine Learning Engineer, you will:
- Solution architecture and design for services that use machine learning and AI algorithms to predict and optimize e-commerce outcomes
- Development of tools to facilitate data science and AI model research and testing
- Work with business owners to gather requirements, and propose solutions
- Build data pipeline to integrate data sources in various formats, warehouse them for downstream applications
- Additional responsibilities as requested
- 6+ years of experience working as a professional software developer, at least 2 years of which includes experience in data science or AI solution development
- Experience with system design
- Strong Python with experience using some subset of the Python ML ecosystem (numpy/scipy/pandas, Tensorflow/PyTorch, etc.)
- Strong SQL
- Experience choosing and writing machine-learning models for deployment at scale.
- Desire to work in a collaborative environment focusing on continuous learning; participating in code review and pair programming
- Experience in financial modelling, or advertising is a plus
- Experience deploying containerized machine learning services
- Experience designing workflow automation
- Experience with data integration from external data sources
- Experience with Google Cloud Platform
Who we looking for:
Moonshot Brands welcomes all and is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or other applicable legally protected characteristics.
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