Data Scientist Marketing Measurement And Attribution at Daily Harvest

About Daily Harvest 
At Daily Harvest we take care of food, so food can take care of you. We're committed to helping you nourish your body while taking care of the planet. How? By making it easy to eat more real, unrefined and sustainably sourced fruits and vegetables every day.  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 Data Scientist to join our Data team. The Data team uses data to create better customer experiences, enable smarter business decisions, and drive innovations company-wide. You will build sophisticated data products and develop machine learning models that strengthen our competitive advantage.
In this role, you’ll work with a modern data stack including GCP / Bigquery, Fivetran, dbt, Airflow and Segment. You’ll support the growth and lifecycle strategy by analyzing tough marketing problems, build and ship models that enable high-quality decision making. You will be a valued thought partner, helping the business define and implement the best approaches to drive marketing decisions as we create a new category and the next great consumer brand in food. This is a highly visible role that has the opportunity to make a big impact on the business.
What you’ll do:

Lead the relationship with key partners on our Marketing teams including Brand, Growth and Lifecycle Marketing to build awareness, increase acquisition, and improve retention with data products
Develop, maintain and improve statistical and machine learning models to drive company’s marketing decisions
Develop forecasting and spend optimization practices to advance our marketing measurement and planning capabilities for the company’s budget cycles
Design and measure marketing experiments to determine the impact of marketing efforts
Dive into marketing channels (Social, Search, Email, and TV, etc.) to further scale and optimize our portfolio
Communicate effectively with both technical and non-technical cross-functional partners

Who you are:

3+ years of building statistical and machine learning models for marketing
Master’s degree (or equivalent practical experience) in Statistics, Computer Science, Engineering, or Mathematics, or related quantitative discipline -- PhD a plus
Strong Python and SQL background
Extensive experience with model development, evaluation and experimentation (specific areas of highly relevant concepts include Bayesian statistics, multilevel and generalized linear models, time series forecasting, markov chain attribution, budget optimization)
Experience using PyMC3 or any other Bayesian modeling framework is a huge plus
Experience with media mix optimization and attribution models
Strong understanding of web tracking and digital marketing
Excellent communication skills, including data visualization
Ability to thrive in an unstructured, fast-moving and constantly evolving hyper-growth environment
Passion for research and curiosity that calls you to go beyond “good enough” to create something innovative and exciting
E-commerce experience, especially within a subscription company is a plus

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.