Senior Data Scientist Analytics - Mobility
Senior Data Scientist Analytics - Mobility
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Salary Not Disclosed
1 Vacancy
Job Description
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 finetune models run and evaluate hundreds of experiments weekly! We are looking for experienced data scientists to build a center of data excellence for Product & Experimentation in a diverse range of tech families. Your role is to guide a datafirst 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.
Get to Know the Role:
Reporting to the Product Analytics Manager you will work closely 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 datadriven insights. You will also work with stakeholders to evaluate the feasibility of new business/product ideas and provide appropriate recommendations.
This role is based in Petaling Jaya and onsite.
The Critical Tasks You Will Perform
- You will analyze existing data and recommend new product ideas to address impactful customer problems based on business objectives.
- You will identify trends spot anomalies and investigate their root causes using data.
- You will utilize your data analysis and visualization skills to present insights and tell a compelling story to a nontechnical audience.
- You will collaborate with stakeholders to align on key product metrics and propose experimentation strategies including A/B testing.
- You will design and manage data specifications for new products ensuring accurate data collection in collaboration with engineering teams.
- You will mentor junior team members promote high standards in data handling and develop scalable frameworks to address recurring problems efficiently.
Qualifications :
What Essential Skills You Will Need:
- At least 4 years of experience working in datarelated or quantitative fields including Analytics and Applied Data Science
- Fluent with SQL Python R or other scripting/programming languages.
- Experienced with working with very large datasets
- Data visualization and storytelling skills. Experience creating dashboards using Tableau or other visualization tools. Knowledge of Azure tool stack (Databricks PowerBI Azure Data Explorer)
- Effective communication and the ability to present complex subjects coherently to diverse audiences comprising generalists and specialists.
Additional Information :
Life at Grab
We care about your wellbeing 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 LoveallServeall (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 provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality ethnicity race religion age gender family commitments physical and mental impairments or disabilities and other attributes that make them unique.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
