Data Scientist (Decision Science)
Job Description
About the Role
The Kuala Lumpur office serves as the technological hub for MoneyLion, where we take pride in our innovative projects and excel in a dynamic and challenging landscape. Join our diverse team of forward-thinkers and disruptors as we aim to transform the traditional finance sector!
We are in search of a Data Scientist to create data-driven solutions that will empower us to make critical everyday business decisions.
In the Decision Science position, you will leverage analytics, experimentation, and machine learning techniques to support and enhance MoneyLion's products through data-informed decisions. You will work closely with product teams to deliver measurable business impact by implementing or fine-tuning solutions that range from fraud detection and credit underwriting to optimizing user experiences, providing compelling evidence of their success. This role involves designing, developing, validating, deploying, and monitoring experiments aligned with business objectives aimed at boosting revenue and minimizing costs. You will collaborate with Product, Data Engineering, and Machine Learning teams, exploring cutting-edge innovations to enhance analytics with AI, rapidly iterate on configurable experiments, track and assess key developments, and gain a deep understanding of business needs to create valuable AI solutions.
Key Responsibilities
- Conduct analyses to evaluate user interactions with our products and identify improvement areas
- Clearly communicate findings to stakeholders
- Detect anomalies and investigate their underlying causes
- Design and implement experiments to address complex data and business challenges
- Collaborate with product owners to uncover new insights and enhance understanding of business performance through data
- Identify trends and opportunities from the data to influence product roadmaps
- Create dashboards to monitor key metrics
- Suggest methods to measure success
- Partner with engineers to enhance the data collection process
- Promote data-driven decision-making across the organization
- Apply, develop, or enhance AI algorithms to generate business value
About You
- Strong foundation in mathematics, statistics, or actuarial science
- Hands-on experience in machine learning, predictive analytics, and statistical modeling is essential
- Familiarity with A/B testing and experimentation frameworks is preferred
- Skilled in problem-solving using both conventional methods and innovative approaches
- Proficient in programming languages such as Python and SQL
- Knowledge of data structures, data modeling, software architecture, and machine learning algorithms is advantageous
- Proven experience in data visualization
- Exceptional verbal and written communication skills
What's Next...
Upon submitting your application, you can anticipate the following steps in the hiring process:
- Online Technical Assessment
- Take-Home Project
- Interview & Discussion of Take-Home Project with the Hiring Manager (Virtual or in-person), 1.5 hours
- Bar Raiser Interview, 30 minutes
If you have previously applied for this role and were not selected, please feel free to reapply after 6 months.
What We Value
We appreciate individuals who are growth-oriented and collaborative, possessing high learning agility while embodying our core values of teamwork, customer-first mindset, and innovation. Each member of the MoneyLion team is passionate about fintech and is dedicated to contributing fully to our mission.
MoneyLion is dedicated to equal employment opportunities for all employees. Every decision we make regarding our workforce is based on merit, skills, and performance, entirely free from discrimination. We strive to cultivate a team that reflects diverse backgrounds, perspectives, and expertise, ensuring that everyone feels included and valued. We recognize the full potential of diversity and encourage you to bring your authentic self to work each day.