Sr Data Scientist, Growth

2 months ago

New York, United States CookUnity Full time
Job DescriptionJob Description

CookUnity is a chef-to-you marketplace connecting talented chefs with consumers, revolutionizing meal delivery. We bring small-batch, restaurant-quality meals to eaters nationwide, crafted by a diverse collective of all-star chefs. With over 100 inspired chefs from cities like NYC, LA, Austin, and more, our weekly subscription offers a wide range of hand-crafted meals to cater to various palates and dietary preferences.

By delivering over 1 million meals per month, we're also empowering working chefs, tripling their income, and supporting their growth. CookUnity believes in fueling stronger communities, partnering with Food Bank For New York City to combat food insecurity across all five boroughs.

About the Role

Data Scientists are the people who bring excellence from empirical and computer science to life to drive the iterative product development lifecycle. They embed within teams they support, achieving a marriage of minds with their stakeholders and an integration of objectives and workflows of. They work across the team with UX researchers, feature engineers, domain experts and business, product, and marketing managers, to create data about user behaviors, discover unmet needs, set metrics that measure performance and design & execute experiments to generate learnings and evidence their success (or lack thereof). Where needed, they leverage machine learning methods as the basis of even deeper insights, uncovering patterns in user behavior that the human mind simply cannot process (e.g. through unsupervised learning).

We are seeking a highly motivated and skilled Senior Data Scientist to drive growth across the entire customer lifecycle. You will bridge the gap between data and business teams, providing insights to fuel acquisition, optimize activation, and drive resurrection strategies. You'll collaborate closely with product and marketing, utilizing your expertise in data analysis, experimentation, and machine learning to unlock growth opportunities. Come play a pivotal role in advancing our Growth team's capabilities by applying scientific rigor to inform, strategize, and optimize our already steep growth trajectory.

What you'll do...
  • Accelerate learning about what drives orders and retention and what doesn't. Produce insights about engagement of active subscribers and recommend effective strategies to increase retention and order rates across the customer lifecycle stages. Collaborate with the CRM team to design and evaluate new tests and customer journeys. Success will be measured by the learning rate of the team (e.g. number of tested new strategies per month) and improvements to order rate and retention.
  • Accelerate learnings about how to resurrect churned subscribers. Deconstruct resurrection funnel touch points and communications and deliver insights that power our scaling resurrection programme into paid channels. Build incrementality models, and design & analyze resurrection experiments across landing pages and CRM channels as needed to optimize re-activation journeys. Use interactive visualizations and produce engaging insight presentations to build understanding of your insights and support for your recommendations. Success will be measured through revenue through resurrected eaters and the resurrection CAC for paid channels.
  • Train and scale predictive models to drive Annual Recurring Revenue (ARR) growth throughout the customer lifecycle. Build a holistic Next Best Action (NBA) model covering a wide variety of actions from reminders to promotions. Explore strategies to improve model performance, e.g. running experiments to generate more training data, integrated with predictive Lifetime Value (pLTV) model, and so on. Put your models into production so both other analysts and customer facing systems (e.g. CRM, marketplace, etc) can consume it. Success will be measured by the impact model-backed on activation (e.g. order rate, retention) and resurrection (e.g. resurrected eaters, resurrected LTV).
Core Competencies
  • Autonomous Collaboration: Partner effectively with non-technical stakeholders.
  • Data Expertise: Proficient in SQL, Tableau, Python/R, dbt/Airflow for independent insights generation and machine learning model development.
  • Proactive & Growth-Oriented: Demonstrates initiative, a continuous learning mindset, and a passion for driving growth.
Year of experience
    • 5-8 years in similar data scientist and/or analyst roles, with a pattern of high achievement
    • At least 2 years in a growth team (in any capacity)
Benefits

🩺 Health Insurance coverage

⛱ PTO policy and paid sick days

📈 We grow, you grow: Stock Options Plan granted on Day 1.

🌟 Eligible for a bi-annual performance bonus.

🌅 401k Plan.

🐣 Family leave: ****12 weeks for primary caregiver and 6 weeks for secondary caregiver, fully paid

🕯 Compassionate Leave: 3-5 days each time the need arises

🗓️ 5-year Sabbatical: after 5-years with CookUnity, you get a 4-weeks paid sabbatical

🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly

🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle

👩🏾️‍🏫 Personalized Spanish coach

🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work

Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$160,000—$180,000 USD

If you're interested in this role, please submit your application and if we think you might be a fit, we'll get in touch with you. Thank you for your time

CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

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