Director, Data Science and Machine Learning

Remote (USA)

Applications have closed

Daily Harvest

Daily Harvest creates delicious and nourishing smoothies, soups, oats, lattes and more. Our food is built on organic, thoughtfully sourced fruits and vegetables. It’s delivered to you and ready to enjoy in minutes. Daily Harvest takes care of...

View company page

About Daily Harvest 

Daily Harvest makes nourishing food built on fruits and vegetables accessible. We do this by delivering thoughtfully sourced, chef-crafted food to customers' doorsteps, all ready to enjoy in minutes. We’re on a mission to take care of food, so food can take care of you.  

Our team is collaborative, driven, and future-thinking.  We're constantly learning, experimenting, and iterating, and celebrate failure just as much as success. We take risks, try new things, and we get things done. We love adaptogens and cruciferous vegetables but never say no to cake. Everything we do, we do in the service of our community.

Position Overview

Daily Harvest is looking for a Director, Data Science and Machine Learning, to join our team. The Data team uses our rich data to create high-impact customer experiences, enable smarter business decisions, and drive innovation company-wide. Your team will build sophisticated data products and develop machine learning models that help improve the lives of our customers and strengthen Daily Harvest’s  operational efficiency and competitive advantage in the food industry.

In this role, you’ll work with a modern data stack including GCP/Bigquery, Fivetran, dbt, Airflow and Segment. You’ll identify opportunities for data science to add value across the business, and lead your team in planning, building, and releasing machine learning-driven systems into production. 

What you’ll do: 

  • Partner with our technology leaders and stakeholders across the business to investigate, prioritize, and deliver impactful data products, machine learning models, and analyses
  • Manage and hire a team of high-performing Data Scientists and Machine Learning Engineers
  • Foster a productive, focused, and innovative environment and provide rigorous technical oversight
  • Lead the vision for how personalization and recommender systems will continue to drive growth, engagement, and customer satisfaction at Daily Harvest
  • Work directly with our culinary innovation team to build models and data exploration tools that leverage our rich dataset (customer preferences, order behavior, and engagement data) to inform our culinary roadmap
  • Collaborate with our marketing leaders to refine our attribution, media mix, and LTV models, enabling high-quality decision-making within our marketing organization 
  • Communicate effectively across the organization, with the ability to translate the highly-technical to non-technical stakeholders and partner within DH to turn business and product vision into actionable initiatives
  • Build a deep understanding of our business across Marketing, Digital Product, Engineering, Finance, Operations, and Culinary Innovation teams in order to identify opportunities for high-impact data products
  • Ship data products to production by working closely with our software engineering team
  • Align your team to our company objectives and key results and define ways to measure impact
  • Partner with our technology leaders and stakeholders across the business to investigate, prioritize, and deliver impactful data products, machine learning models, and analyses
  • Manage and hire a team of high-performing Data Scientists and Machine Learning Engineers
  • Foster a productive, focused, and innovative environment and provide rigorous technical oversight
  • Lead the vision for how personalization and recommender systems will continue to drive growth, engagement, and customer satisfaction at Daily Harvest
  • Work directly with our culinary innovation team to build models and data exploration tools that leverage our rich dataset (customer preferences, order behavior, and engagement data) to inform our culinary roadmap
  • Collaborate with our marketing leaders to refine our attribution, media mix, and LTV models, enabling high-quality decision-making within our marketing organization 
  • Communicate effectively across the organization, with the ability to translate the highly-technical to non-technical stakeholders and partner within DH to turn business and product vision into actionable initiatives
  • Build a deep understanding of our business across Marketing, Digital Product, Engineering, Finance, Operations, and Culinary Innovation teams in order to identify opportunities for high-impact data products
  • Ship data products to production by working closely with our software engineering team
  • Align your team to our company objectives and key results and define ways to measure impact

Who you are:

  • Track record of delivering meaningful business impact through data science products and initiatives. You share our vision for how innovative uses of data can transform the food industry and you have the skills and leadership to move us closer to that future.
  • Ability to coach and mentor a strong team in software engineering, data engineering, statistics, and machine learning best practices
  • You’ll also need to be well-versed in customer data platforms and experimentation platforms
  • Experience building scalable machine learning models, shipping them to production, and managing others doing this work
  • Excellent communication skills, experience communicating with and explaining technical concepts to C-level stakeholders
  • Ability to thrive and create structure in a fast-moving and constantly evolving high-growth environment
  • Bachelor's degree (or equivalent practical experience) in Statistics, Computer Science, Engineering, or Mathematics, or related quantitative discipline - Masters or PhD a plus
  • We welcome applications from all qualified candidates regardless of years of experience. A typical well-qualified candidate may have 10+ years of experience in the field, including several years of people management experience.

Benefits:

  • Unlimited PTO Plan + flexible working hours 
  • Equity participation + 401K 
  • Competitive medical, dental, + vision insurance
  • Fun IRL + virtual quarterly team events, happy hours, + DH team gatherings to celebrate our co-workers
  • Ancillary benefits: Commuter, Citi Bike discounts, + Health & Wellness Perks
  • Annual company retreat
  • Unlimited Daily Harvest in the office to keep you hustling, not hangry (...always stocked)
  • In office access to everything we create (including recipes in development)

At Daily Harvest, our mission is to take care of food, so that food can take care of you. And it wouldn't be possible without our team. We celebrate the unique POV that each person brings to the table and believe in a collaborative and inclusive environment. As an equal opportunity employer, we prohibit any unlawful discrimination on the basis of race, color, religion, military or veteran status, sex, gender, gender identity or expression, sexual orientation, national origin, age, disability or genetic information. These are our guiding principles and apply across all aspects of employment.

 

Tags: Airflow BigQuery Computer Science Engineering Finance FiveTran GCP Machine Learning Mathematics ML models PhD Recommender systems Statistics

Perks/benefits: 401(k) matching Career development Equity Flex hours Flex vacation Health care Insurance Startup environment Team events Unlimited paid time off Wellness

Regions: Remote/Anywhere North America
Country: United States
Job stats:  16  2  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.