Lead Data Scientist (analytics) Mobility

Petaling Jaya, Selangor, Malaysia

Job Description


Company DescriptionLife at GrabAt Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.Get to Know The TeamThe Mobility Analytics team strives to answer the most pertinent questions in the ride hailing industry in Southeast Asia using our rich data. There are really exciting problems within the domain, from solving for customer booking experiences to supporting massive new product launches around Affordability and Premium ride modes.Get to Know The RoleYou will report to the Senior Analytics Manager, Mobility and you will be working closely with various teams within a business line (Product, Business, Engineering, Design and Data Science) to understand data requirements, identify and track key metrics, and provide data-driven insights. You will also work with stakeholders to evaluate the feasibility of new business/product ideas and provide appropriate recommendations.The Critical Tasks You Will Perform

  • You will innovate: Propose cutting-edge product ideas by diving deep into data, addressing the most pressing customer challenges.
  • You will illuminate: Use your mastery of data to uncover trends, decode anomalies, and tell compelling stories that inspire action.
  • You will Influence: Collaborate with stakeholders to define key metrics and design experiments that shape the future of our products.
  • You will drive impact: Drive significant improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.
QualificationsWhat Essential Skills You Will Need
  • You have at least 6 years in data-related or quantitative fields, with experience within D2C or B2C context such as Marketplaces, ECommerce, OmniCommerce, Retail Marketing Analytics, etc.
  • You have the ability to help solve complex problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems. Propose novel solutions that go beyond common practice
  • You are able influence across your team and cross-functional teams. You should also be able to effectively convince senior stakeholders.
  • You have exceptional skills in data visualization and storytelling. You should be adept at creating intuitive and impactful dashboards using PowerBI or Tableau.
  • You are fluent in SQL, Python, R, or other scripting/programming languages, you\'re a problem-solver at heart. Your comfort with very large datasets and complex ETL processes sets you apart.
Additional InformationLife at GrabWe care about your well-being at Grab, here are some of the global benefits we offer:We have your back with Term Life Insurance and comprehensive Medical Insurance.With GrabFlex, create a benefits package that suits your needs and aspirations.Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leaveWe have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life\'s challenges.What we stand for at GrabWe are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

Grab

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Job Detail

  • Job Id
    JD1056719
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Petaling Jaya, Selangor, Malaysia
  • Education
    Not mentioned