Senior Data Scientist Analytics Search and Personalisation
Senior Data Scientist Analytics Search and Personalisation
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Get to Know the Team
The Product Analytics team advances product innovation with analytics and experimentation best practices. We help ship many features every week and that means instrumentation to track relevant events running thousands of experiments evaluating changes weekly.
Get to Know the Role
We are looking for a Senior Data Scientist (Analytics) with great analytical to help product teams be more datadriven and objective and guide the design of controlled experiments. You will report into the Senior Analytics Manager SPA (Search Personalisation Ads) and work onsite in Grab One North office.
You have experience in analytics managing multiple stakeholders and solving complex problems. You will work with engineers designers and product managers across the company with recommendations on how to learn from unexpected results study underlying causes for them and refine the next set of products to build for our users.
This role is required because of the rapid pace at which Grab is building a content ranking and search ecosystem and we believe the only way to do this is by making fast datadriven decisions. While you can influence key product decisions with your analytical rigour you will also get an opportunity to learn what it takes and experience firsthand building great products.
The Critical Tasks You Will Perform
- You will understand our requirements and outcomes to ensure datadriven decisionmaking.
- You will conduct tailored and proactive analysis for a host of products algorithm and operations.
- You will define critical business metrics construct an analytics framework design and implement A/B experiments track data points rigorously and recommend continuous improvements.
- You will frame business scenarios and propose features that impact critical business processes and decisions.
- You will transform requirements into concise insights through reports presentations and dashboards and consolidate data from multiple sources to create comprehensive views for decisionmaking.
- You will develop data pipelines and custom data science models to solve identified problems.
Qualifications :
What Essential Skills You Will Need
- You have at least 4 years of experience in datarelated or quantitative fields such as Analytics Science Statistics or Mathematics.
- You are fluent with SQL Python R or other scripting/ programming languages.
- You are experienced in handling large datasets and maintaining complex Extract Transform and Load (ETL) processes.
- You have solid statistical knowledge and handson experience running and analysing controlled experiments.
- You are proficient in creating dashboards using PowerBI or other visualisation tools.
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 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 :
Fulltime
Employment Type
Full-time
