About Gen:
Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries.
Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results.
When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs.
At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage.
If this sounds like you, we’d love you to be part of Gen.
About the Role:
The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!
We are looking for a Senior Data Scientist to contribute and lead others in the development of 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
Automate Identification of anomalies and investigate the root causes of anomalies
Lead, design and build experiments to solve challenging data and business problems
Identify trends and opportunities from the data to define product roadmaps
Craft business metrics, define and achieve objective targets and recommend ways to measure success
Work with engineers to improve the data collection process
Collaborate with product stakeholders to champion and lead data-driven decision making within the organization
Apply, develop or refine algorithms to deliver business value
Research, adopt and implement novel and cutting-edge techniques from literature to improve the performance of existing solutions
Mentor, coach, and manage team members towards excellence in deliverables
About you:
3-5 years of working experience minimum recommended
Experience with mentoring, training, hiring, onboarding, managing or leading a team will be advantageous
Have strong product sense and enthusiastic to deliver business value
Strong mathematical, statistical or actuarial background
Must have hands on experience in machine learning, predictive analytics and statistical modeling
Deep knowledge of probability, statistics, distributions, and analysis methods
Demonstrably experienced at problem solving using both textbook methods and novel viewpoints
Highly proficient in programming languages such as Python and SQL
An understanding 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
Highly independent and self driven to deliver results
What’s next:
Online Technical Test
TA Call (15 min)
Take-Home Assessment
Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)
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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.
Top Skills
What We Do
Gen (NASDAQ: GEN) is a global company dedicated to powering Digital Freedom through its trusted Cyber Safety brands, Norton, Avast, LifeLock, Avira, AVG, ReputationDefender and CCleaner. There’s a new generation, and it’s not Gen X, Y, or Z. It’s Gen D: Generation Digital. Our family of consumer brands is rooted in providing safety for the first digital generations. Now, Gen empowers people to live their digital lives safely, privately, and confidently today and for generations to come. We bring award-winning products and services in cybersecurity, online privacy and identity protection to more than 500 million users in more than 150 countries. Learn more at GenDigital.com
