Senior Data Scientist Integrity
Senior Data Scientist Integrity
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 Our Team
The Grab Integrity team is dedicated to protecting the Grab platform from multiple types of fraud and safety incidents. Our team leverages rich datasets ranging from payment risk prediction using sequencebased models to detecting money laundering with graph algorithms and ensuring platform safety. We research new methods to stay ahead of emerging fraud tactics contributing to the creation of thoughtful and secure products.
Get to Know the Role:
Reporting to the Head of Data Science FinTrust and FinID this will be a Fulltime role in Bangalore
The Critical Tasks You Will Perform:
- Collaborate with stakeholders to understand and convert operational issues into data science problems aligning efforts with our strategic goals.
- Stay updated with the latest research and advancements in the field incorporating the latest models and techniques to address new fraud tactics.
- Handle data preparation and augmentation using multiple data types to create comprehensive datasets for model training.
- Train and improve machine learning models ensuring accuracy and efficiency in fraud detection through careful selection and tuning of algorithms. Types of algorithms the team work on include Graph Neural Networks Transformer/ Sequence models finetuned LLMs Boosted Trees
- Deploy models into production managing their performance and working with data scientists software engineers and product managers to ensure seamless integration and ongoing improvements.
Qualifications :
The Essential Skills You Will Need:
- Degree in computer science physics statistics or a related quantitative field.
- Proficiency in Python SQL and programming skills with familiarity with numeric libraries containers and modular software design
- 4 years experience of standard machine learning libraries such as TensorFlow PyTorch XGBoost LightGBM and Scikitlearn
- Understanding and some experience using traditional ML techniques like Boosted Trees and deep neural network architectures like CNNs RNNs Transformers.
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.
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.
#LIDNI
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
