We are looking for a Data Scientist to develop data solutions that will enable us to assist critical day to day business decisions.

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.

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

Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds.

We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency.

To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.

Data Scientist (Decision Science) - MoneyLion