Data Scientist - Syrup Tech｜Meet.jobs

🚀 The Opportunity

We’re looking for a great Data Scientist to join our core team. This is a unique opportunity to join a fast-growth start-up in a core data and engineering function, joining a very strong team of engineers, data scientists, business experts and dreamers. Come join us in our quest to empower 100x better decision-making through predictive software, allowing our users to focus on strategic and creative decisions while our software manages the number crunching.

As Data Scientist you will have ownership over developing and deploying cutting-edge data science models, as well as shaping our codebase. You'll work closely with the CEO, COO, and our top-notch engineering team.

🌱 The role

• Build: Build out high-impact use cases with a focus on demand forecasting and optimization problems applied to the most pressing business problems we’re solving. Apply creative and quantitative skills when choosing loss functions / evaluation metrics ensuring direct business impact for customers. Manage metrics from multiple ongoing experiments e.g. Tensor Board or custom experiment management system).
• Develop the product: Develop new product modules along the planning, merchandising, and sourcing workflows based on our inference engine.
• Collaborate: Collaborate closely with the Co-Founders and the engineering team to make product design choices. Participate in code reviews with our team, as well as pair coding sessions.
• Compensation, benefits and set-up: Competitive base pay, generous equity package, and benefits incl. medical / dental / vision. We have a “remote flex” policy, with our HQ in SoHo but team members from East Coast to Hawaii. We meet at least 1x per quarter in person: in March we’re flying the whole team out to Barcelona for 2 weeks.

🔧 Your ideal skills

Above all else, you are a continuous learner and are excited to add new skills to your toolbox. We believe that the best engineers can learn new skills on the job.

• Experience: You have 3+ years of relevant experience as a data scientist or machine learning engineer in a fast-paced tech environment. Domain knowledge in retail / commerce / inventory / supply chain is nice to have.
• Experience with forecasting and/or optimization: Experience with time series problems, predictive algorithms, and machine learning approaches to forecasting and/or experience with optimization algorithms, incl loss functions, constrained-optimization, Bayesian models, etc.
• Hunger: You’re hungry to step up and take a large role within an early-stage venture.
• Intuition: Strong, intuitive understanding of the underlying mechanics of common machine learning models such as logistic regression, decision trees, and neural networks.
• Bigger picture: Understand the bigger picture: you don’t just build sophisticated models but can play a crucial role in choosing what we build and how we build it, and you can do so with ownership and independence.
• Languages: Python with strong experience with common libraries such as scikit-learn, Tensorflow, Pandas, PyTorch, SQL, and/or statistical models.

💫 About Syrup Tech

Mission: We're building predictive software to inform end-to-end inventory decisions for commerce brands and retailers. We believe that ML can empower 100x better decision-making, allowing people to not spend time on repeatable tasks but to focus on creative and strategic decisions. Better decisions around inventory mean drastically less overproduction and less waste (less textiles in our landfills ♻️).

Traction: We’re working with around 10 paying customers (brands and retailers with revenue $50m-$1bn) who are using our product on a weekly basis and are eager to grow with us.

Team: We're a team of 8, comprised of data scientists, software engineers, and business experts. Our team comes from Harvard, MIT, Google, McKinsey, BCG, Capital One, University of Cambridge, Bloomingdale's, TruSTAR, and VMware.

Backers: We're backed by 2 Silicon Valley VCs (1984 Ventures, Plug & Play), as well as (former) executives from Adidas, Salesforce, Reebok, Reformation, Demandware, Amazon, and Olivela.