Lead Data Scientist - #187088

As a Lead Data Scientist, you will join a cross-functional team that designs, implements, and maintains the state of the art machine learning models to automate and optimize marketing operations and customer experience. You will be turning innovative ideas into data-driven products to bring these ideas to reality, while directly contributing to our business' success.

You will be working in a team of data scientists and machine learning engineers, while working closely with data engineers and data analysts who also specialize in the Marketing domain. The main projects the team are working on are focused on media spend optimization, attribution, understanding business performance trends and forecasting future growth.

To succeed in this role you will be curious, a fast learner, and someone who thrives when given an open-ended problem to solve. You will be comfortable suggesting multiple solutions based on your experience, and prioritizing tasks based on effort and likely impact. As a senior member of the Data Science team, you will jump into problem solving with others as challenges arise, and coach junior members of the team to increase their skills and impact.

You will…

• Lead the development, deployment, and adoption of models to measure marketing campaigns, optimizing investments across short and long-term business objectives
• Take ownership of end-to-end projects, operating where there's a high degree of ambiguity, and delivering results within ambitious timelines
• Be a strong contributor to the team's pipeline of projects, and roadmap for each, ensuring we are focusing our efforts on the highest impact tasks
• Think creatively about our most complex problems, for both the modeling/science side, and the implementation and adoption by end users
• Collaborate with Data Scientists, Data Engineers, Data Analysts, Marketing Managers and other domain experts
• Act as a mentor, guiding and coaching junior Data Scientists in both technical and non-technical aspects
  
  

You have…

• MSc / Bachelors in STEM, eg Computer Science, Data Science, Mathematics
• At least 5 years' experience building productionalized machine learning models
• Expert level Python and SQL; experience in Databricks is a plus
• A solid grasp of advanced statistical concepts (e.g. Bayesian statistics; sequential testing; multilevel and generalized linear models, double ML; timeseries; bootstrapping)
• Practical experience building advanced science models and integrating them into existing business processes
• Strong organizational skills, a sense of ownership and accountability, and the ability to lead projects independently
• Excellent communication skills with the ability to tailor messages to different audiences, from technical teams to executives
  
  

You’ll get…

Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.

Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!

Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.

Family Benefits - A parental leave top-up program for expectant parents.

Growth & Development - We support your career progression, provide development opportunities, and invest in your continued learning through our organization wide L&D fund.

Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!

Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.

Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Working Conditions

It’s no surprise that as a food company, we use many ingredients that may be considered common allergens (i.e. peanuts, tree nuts, milk, etc.). Whether this role is based out of our headquarters or one of our distribution centers, it is possible that you may be exposed to such allergens in this role. If you have any concerns with being exposed to any particular food ingredients, including meat, please disclose this during the hiring process.

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.

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