Data Scientist (Analytics) Mobility
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Get to Know the Team
The Analytics teams mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate whats best for our customers. As we ship multiple products every week it means we have to fine-tune models run and evaluate hundreds of experiments weekly! We are looking for experienced data scientists to build a centre of data excellence for Product & Experimentation in a diverse range of tech families.
Get to Know the Role
You will report to the Senior Analytics Manager Mobility and work onsite in Grab One North Singapore office. You will work with different 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.
Your role is to guide a data-first approach to product thinking design controlled experiments and be objective while evaluating results all of this while working with stakeholders to evaluate innovative product and business ideas! You will help developers designers & product managers across the company with recommendations on how to learn from unexpected results study underlying causes for them and iterate on the next set of products to build for our users.
The Critical Tasks You Will Perform
- You will propose cutting-edge product ideas by diving deep into data addressing the most pressing customer challenges.
- You will use your mastery of data to uncover trends decode anomalies and tell compelling stories that inspire action.
- You will collaborate with stakeholders to define key metrics and design experiments that shape the future of our products.
- You will drive improvements across our platforms enhancing user experience and contributing to our mission of excellence.
Qualifications :
What Essential Skills You Will Need
- Experience in analytics preferably in the e-commerce or internet industry.
- Bachelors degree in Statistics Analytics Mathematics Engineering or other quantitative subjects.
- Advanced knowledge of analytical tools such as database querying (SQL Presto Hive) visualization and reporting tools (Tableau PowerBI Holistics) and programming languages (Python R)
- Quantitative discipline with strong business sense and ability to articulate complex analyses results to a wide range of audiences and translate these to actionable business insights. Primarily driven by quantitative outcome for all decision making.
- Familiarity with advanced analytics techniques including but not limited to predictive modeling machine learning and statistical analysis.
- Strong ability to work with large and complex data sets.
- Experience in implementing and optimizing machine learning models for real-world applications.
- Fast-learner versatile self-driven detail-oriented and collaborative.
- Excellent communication skills to translate analytics specificities for all audiences.
Additional Information :
Life at Grab
We 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 leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
- Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For at Grab
We 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.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
About Grab and Our WorkplaceGrab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, w ... View more
