Senior Data Scientist - MoneyLion job opportunity at Gen Digital.

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DatePosted 3 Days Ago bot
Gen Digital Senior Data Scientist - MoneyLion
Experience: 5-years
Pattern: full-time
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loacation Kuala Lumpur, Malaysia, Malaysia
loacation Kuala Lumpur, ..........Malaysia

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)       #LI-MLN   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.

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