Director, Data Science

ML Enterprise Corporation-posted 9 months ago
$180,000 - $190,000/Yr
Full-time • Senior
New York, NY
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MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion's mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action. In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion's enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.

  • Manage a team of data scientists, analysts and machine learning engineers, ensuring project alignment with business goals and timelines and supporting sprint management and execution.
  • Take ownership of a suite of high-revenue, real time pricing, filtering and recommendation models that are at the core of our consumer financial marketplace, with a relentless focus on performance optimization and revenue generation for the business.
  • Work closely with the technical leads of the Research and Engineering pods of the team to develop strategy and tactical planning for future growth around model testing, deployment, rollout, observability and optimization.
  • Collaborate with product, engineering, and account management teams to successfully solve ongoing challenges and opportunities in our marketplace business.
  • Develop and optimize efficient operations, effective communication cycles and best practices for the team in order to build an effective and high performance team culture.
  • Provide coaching and professional development opportunities to enhance team skills and career growth.
  • Act as a thought leader in data science and AI within the organization, influencing strategy at the leadership level.
  • Revenue focused mindset with a strong focus on quantitative performance optimization and practical applications of data science in a live business environment.
  • Excellent communicator - ability to speak fluently with leadership as well as individual contributors in both technical and business domains.
  • Strong problem-solving skills and ability to collaborate effectively with data scientists, engineers, and other stakeholders to achieve mutually successful outcomes.
  • A team player with a passion for both data products and predictive modeling, with a strong desire to grow and develop their team and themselves in these areas.
  • Comfortable with a fast-paced environment and being scrappy while balancing execution with perfection.
  • Experience with building and deploying real time ML models for business critical applications.
  • Experience working in analytics and data science, in particular working with data warehouses, analytics tools, specialized machine learning observability tooling and environments.
  • Experience working in a cloud environment (AWS preferred but not required), and has exposure to data science and software engineering best practices and culture (CI/CD, version control, continuous experimentation, etc).
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, is preferred.
  • Minimum 6-10 years experience working within the data science and/or AI space.
  • Minimum 3-4 years managing a high performing, client facing data science team.
  • Competitive salary packages
  • Comprehensive medical, dental, vision and life insurance benefits
  • Wellness perks
  • Paid parental leave
  • Generous Paid Time Off
  • Learning and Development resources
  • Flexible working hours
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