Senior Data Scientist

Location: San Francisco, CA

Type: Full Time

Min. Experience: Experienced

About Zipongo 

Zipongo is a digital nutrition platform that takes the guesswork out of healthy eating with personalized meal recommendations based on biometrics and food preferences. We work with employers, health plans and wellness companies to reduce chronic disease and improve the health of their employees and members. Our solution delivers real-time support for all the places a person makes food decisions – at home, at work, at the grocery story, and at restaurants. Pointing users to the healthiest recipe and menu choices reduces the likelihood of making poor food choices based on convenience, cost and other factors.

We're on a mission to reduce chronic disease by making it easy to eat well. Are you ready to join our team and make a difference?

About the Data Science & Analytics Team 

The Data Science & Analytics team at Zipongo is diverse, agile, responsive to great ideas, and growing fast! If you’re passionate about using data to solve challenging problems around nutrition and wellness, then this is the place to be.

About You

You’re ½ statistician, ½ engineer, and ½ analyst.  Probably also at least 1/8th marketer and 1/8th social psychologist.  Really, you’ll do all these and a whole lot more.

You revel in mathematical and statistical modeling.  You can rattle off probability distributions without a cheat sheet -- perhaps even alphabetically, in reverse.  But more importantly, you know how the concepts intersect with real world problems and what tools and techniques to bring to bear to solve complex modeling and optimization problems.

You get things done.  You know how to marshall cross-functional teams across data science, engineering, and product to get things delivered.  And when there are gaps you can identify them and roll up your sleeves to pick up the slack.  You deal with ambiguity well -- and can lead teams through it.

You work well by yourself, but better with others.  Sometimes you disappear with an iPython notebook to go heads-down crafting a masterpiece, but your work really shines when it’s plugged into a live engineered system that’s interacting with users in the real world.  You take pride in your work, and stand it in a broader organizational context.

You’re somebody who knows what great looks like.  But you also know that it may look entirely different from something you’ve seen or built previously.   You’re an expert in at least a few technologies and disciplines, but are open to embracing new ones.

You want to be part of a fast-moving startup environment.   You move and pivot quickly, and drop very few balls while doing so.   You can act tactically while also building strategically.  You love a challenge and thrive on opportunities to innovate collaboratively.  You have a personal interest in health and wellness and can get behind Zipongo's mission.

Responsibilities

  • Research, build out, and maintain the predictive models and optimization routines that are at the heart of Zipongo’s data science ecosystem.
  • Own the family of predictive models that drive the company’s recommendation engines, aimed towards making it easier to make healthy eating decisions.
  • Engineer personalized nutrition engines taking into account nutritional guidelines, dietary constraints, clinical disease states, as well as taste and cost preferences.
  • Build models to inform user insights and predict long term user behavior: attrition, value, engagement.
  • Identify actionable insights, suggest recommendations, and influence the direction of the business by effectively communicating results to cross functional groups and stakeholders.

What we’re looking for

  • A leader with a proven track record of building out and growing data science capability in a startup environment.
  • Ability to initiate and drive projects to completion with minimal guidance.
  • Excellent interpersonal, teamwork, and communication skills.  Someone who shows their work, builds consensus, and brings broader teams on the journey with them.
  • Ability to work with product and engineering teams to develop strategic planning and achieve successful project outcomes.
  • Business acumen and leadership skills.
  • Experience building elastic assets in a large cloud-centric technology environment.

Bonus points for

  • Nutrition/culinary/health knowledge and interest -- experience in the Health Tech field a plus.  

To all recruitment agencies (unless otherwise notified in writing): Zipongo does not accept agency resumes. Please do not forward resumes to our job alias, Zipongo employees or any other Zipongo company location.  Zipongo is not responsible for any fees related to unsolicited resumes.

 

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