San Francisco, CA

Senior Staff Data Scientist

 NerdWallet is seeking a results-focused technical leader to join our Data Science team and drive efforts to develop machine learning models that improve product experience and personalization across our businesses. This role will partner with product and marketing teams to understand and solve the most impactful problems and collaborate with other teams in the organization (Machine Learning Platform, Analytics, and Data Engineering) to understand and contribute to NerdWallet’s machine learning and data platforms. The ideal candidate will be passionate about the personal finance space and NerdWallet's mission to provide clarity for all of life's financial decisions.

Where you can make an impact:

  • Lead and deliver on high visibility data science projects that improve on the relevance of NerdWallet’s financial advice to our customers   
  • Collaborate cross-functionally with other data teams at NerdWallet to define best practices and leverage shared platforms, insights, and innovations
  • Own data and ML pipelines that empower product teams and increase the impact of data science

You are:

  • Creative problem solver: Passionate about answering questions with data and always learning
  • Structured thinker: Understand how to break down complex problems into the key components where data science and machine learning can be used to improve existing solutions
  • Highly productive: Able to execute efficiently on multiple projects. This role is intended for somebody who is passionate about data and developing solutions to improve our products
  • Thought leader: Excited to contribute to data science strategy and roadmap, mentor junior team members, and develop cutting edge solutions that can be leveraged by other Data Scientists at NerdWallet 
  • Consumer first and positive attitude: Motivated to work hard in a fast-paced environment – business decisions here can connect and impact millions of users

Your experience:

  • Advanced degree (MS or Ph.D.) in a quantitative field with 6+ years experience developing production ML models to solve problems such as product/content recommendations and user intent, engagement, or segmentation
  • Deep understanding of machine learning, feature engineering, and model evaluation techniques
  • Demonstrable programming skills (Python preferred)
  • Experience building production solutions with ML frameworks (e.g., TensorFlow, Spark MLlib, SciKit Learn, etc.) for real-time inferences
  • Hands-on experience in data technologies (SQL, AWS, Redshift, Snowflake, etc.)
  • Ability to work with data and machine learning engineers to implement ML pipelines
  • Experience communicating and collaborating with leaders across the organization, which include stakeholders in engineering, product, finance, and marketing organizations

What we offer: 

  • Competitive compensation package
  • 401(k) with company match
  • 100% paid premiums for medical, dental and vision for employee and their dependents
  • Paid maternity and paternity leave
  • Commuter, gym and cell phone stipend
  • $500 enrichment stipend towards learning and development for your role
  • Catered lunches daily, free dinner, and kitchens stocked full of snacks 
  • Onsite coffee bar with baristas
  • Company happy hours, social events and outings
  • Generous, flexible vacation 

NerdWallet is committed to pursuing and hiring a diverse workforce and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of any characteristic protected by applicable federal, state or local law.

 

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