Senior Manager, Data Science

Posted 13 Days Ago
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San Francisco
Senior level
Software
The Role
Leading the Data Science Team and driving impactful analyses to support decision-making across the organization
Summary Generated by Built In

HOVER uses patented technology making it possible for anyone with a smartphone camera to create an interactive 3D model, complete with detailed measurements and powerful design features. The data produced is extremely valuable as it generates a single source of truth for the physical world allowing for more veracity throughout the home improvement and insurance processes. We’ve found an incredibly strong product-market fit across exterior home improvement, insurance, and financial services. What's the secret sauce? Cutting edge technology, an exceptional culture, and a commitment to our values (Think. Do. Serve.). 

With our team of investors, including Google Ventures and Menlo Ventures, HOVER is committed to continuing our success and facilitating growth. We believe there is strength in diversity so we hire skilled and passionate people from a wide variety of backgrounds.

Why HOVER wants you:

HOVER is looking for a data-driven leader with a knack for thinking outside the box.  This role requires the ability to structure ambiguous problems, conduct meaningful analyses, and drive alignment across functions and within the Executive team.  Your background includes deep experience leading cross functional Data Science initiatives that transform complex data into elegant stories, and ultimately, real impact, not just academic observations.

Our Data Science Team partners across the entire business, connecting efforts ranging from Product, Engineering, and Design to those in Sales, Marketing, Operations, and Finance, helping distil insight from the most complex of datasets and scenarios.  Our business is growing quickly, and a large part of our success thus far has been using data to drive our most crucial decisions, and this is exactly where you come in.

You will contribute by:

You will be kick starting our small but budding Data Science Team, and you’ll hit the ground running with a mix of People Management and Individual Contributor work, both mentoring your team through their autonomous projects and leading strategic analyses yourself. 

Comfortable in ambiguity, but technical enough to go deep once we have a path, you will thrive at both the whiteboard for kicking off the discovery process and also at the keyboard for digging into the heavy analyses.  An experienced story teller, you will be someone who non-data-literate coworkers seek out to help them break down challenging issues quantitatively, which sometimes might mean a quick back-of-the-envelope rough pass in 15 minutes, and other times might mean leading a 3 month cross functional project.

You’ll be biased towards action, always excited to play devil’s advocate, and you’ll iterate until things are looking good, but you’ll also know when things are ‘good enough’ and it’s time to move your focus elsewhere.  You’ll know the size, shape, and scope of our product data better than anyone else, and this intuitive understanding of the numbers will be your superpower in group collaborations.

Example projects include:

  • How can we leverage our mobile usage data, financial data, and salesforce data to build a predictive model that alerts our Account Managers about the customers they need to engage with in a given month to drive growth or prevent churn?
  • How can we leverage our complex 3D Visualization usage data to help our Product team solve for friction users are facing?  How can we help our Growth team improve in-app-messaging content to send to various clusters of user types?
  • How can we improve confidence in our forecasting for future product usage given the highly geographic seasonality we face across the country, with hail falling in certain areas at certain times while temperatures change in other ways in other places at other times?  How can we leverage a diverse range of inputs to create a high confidence projection for future usage, such that we can be prepared to service it?

You will be among a team of Data Evangelists who care about fostering a culture of data driven decision making, and we will look to you to celebrate data, analytics, and insights across the company.

Your background includes:  

  • 8+ years experience in Data Science, Analytics, Insights, or similar functions
  • Experience cultivating broad product acumen and the ability to synthesize large amounts of information quickly and get-to-the-point
  • Experience leading group projects and enabling progress across multiple people’s work streams simultaneously
  • Experience framing and presenting data-driven stories to senior audiences and cross-functional groups
  • Experience operating in an 80/20 mindset and ruthlessly prioritizing your time when there are far too many exciting and impactful things available to work on
  • A strong technical skill set that sets you up to engage in depth with your team’s work

Benefits:

  • Compensation - Competitive salary and meaningful equity in a fast-growing company
  • Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents
  • Paid Time Off - Unlimited and flexible vacation policy 
  • Paid Family Leave- We support work/life balance and offer generous paid parental and new child bonding leave 
  • Mandatory Self-Care Days - A day set aside each month to allow employees to recharge 
  • Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance 
  • Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications


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The Company
0 Employees

What We Do

We are on a mission to create a single source of truth for the physical world. Powered by deep learning and computer vision, HOVER transforms smartphone photos of any property into an accurate, interactive 3D model, giving homeowners the power to unlock the true potential of their largest economic asset.

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