As a Data Scientist in the Decision Science role, you will have the opportunity to apply analytics, experimentation and machine learning algorithms to support and enhance MoneyLion’s products with data driven decisions.
You will be embedded within the product teams and deliver tangible business value by deploying or refining solutions ranging from fraud and credit underwriting to user experience optimisations, providing convincing evidence of their effectiveness. This entails designing, developing, validating, deploying and monitoring the outcome of experiments using (and refining) business objectives that will ultimately increase revenue and reduce business costs. You will partner with Product, Data Engineers and Machine Learning teams, exploring and utilizing the frontier of innovation, in order to augment analytics with AI, rapidly iterate with configurable experiments, monitor and evaluate key developments, and understand business needs intimately to help develop valuable AI solutions.
About MoneyLion
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.
Key Responsibilities
Perform analyses to understand how our users interact with our products and how to improve our products
Communicate findings to stakeholders in a clear and concise manner
Identify anomalies and investigate the root causes of anomalies
Design and build experiments to solve challenging data and business problems
Collaborate with product owners to discover new insights and understanding of business performance based on data
Identify trends and opportunities from the data and influence product roadmaps
Develop dashboards to track relevant metrics
Recommend ways to measure success
Work with engineers to improve the data collection process
Ensure data-driven decision making within the organization
Apply, develop or refine AI algorithms to deliver business value
About You
Strong mathematical, statistical or actuarial background
Must have hands on experience in machine learning, predictive analytics and statistical modeling
Proficiency with A/B testing and experimentation framework is preferred
Adept at problem solving using both textbook methods and novel viewpoints
Proficient in programming languages such as Python and SQL
Knowledge of data structures, data modeling, software architecture and machine learning algorithms will be an advantage
Demonstrably experienced with data visualization
Demonstrably excellent verbal and written communication skills
What's Next...
After you submit your application, you can expect the following steps in the recruitment process:
Online Technical Test
Take-Home Assessment
Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)
Bar Raiser Interview (Where Needed)
Gen is an equal opportunity employer, and we’re committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit, experience and business needs.
