Data Scientist

We are looking for innovative data scientists to build and evolve our leading financial products. You will work with a team of young and talented scientists and engineers to build models on robust and scalable data big data pipelines, conduct advanced research in implementing state-of-the-art ML and AI techniques, build high-quality data services that are both real-time and batch-based.

B. RESPONSIBILITIES

Develop and validate machine learning models for credit scoring, fraud detection and lead scoring.

Engineer features from behavioural, telco and transactional data sources.

Monitor deployed models and data feeds; identify anomalies and drift that affect production performance.

Collaborate with Business owners to define and design a roadmap for financial products.

Enhancing data collection to integrate information that is relevant to products.

Perform analysis and draw meaningful insights from company’s data sets; visualize and present those insights to stakeholders.

Bachelor’s degree or higher in Computer Science, IT, Software Engineer, Software Development, Actuarial Science, or a related quantitative field.

Great communication skills, strong problem-solving capabilities, and a desire to learn.

Strong knowledge of Machine learning and statistics.

Strong debugging, analytical, and problem-solving abilities, excellent team player with the ability to maintain strong internal and external relationships.

Working Python (pandas, scikit-learn) and SQL. You should be comfortable pulling and reshaping data yourself.

Experience with credit scoring or financial service models is a plus.

Nice to have

Any exposure to credit scoring, fraud, or financial services modelling.

Familiarity with scorecard concepts: WOE/IV, Gini/KS, PSI, reject inference.

Exposure to gradient boosting libraries (XGBoost, LightGBM, CatBoost).

Exposure to big data or pipeline tooling - Spark, Hive, Kafka, Airflow. Nice to see, not expected at this level; we will teach you our stack.

D. BENEFITS

Challenging problems to solve with high impact to the society.

High performing team members with strong background.

Great problems to solve, great team to work with.

Competitive starting salary.

Total annual compensation up to 17 months’ salary

Company-provided Apple computers.

Benefits for special holidays (Birthday, Marriage, Women’s Day, Tet Holidays, Mid-Autumn, New born babies, International Children ‘s Day…)

Social Insurance on TOTAL salary

Support lunch 80.000VND/day and Happy Friday.

12 days of annual leave and 1 day of birthday leave.

Annual Health check-up.

Team building and company trip at 5-stars resort.

Support Grab for work.

Health care insurance for employees and family.

Life Insurance for the employee with indefinite contract.

Founded in 2018, Data Nest is a dynamic and innovative company specialising in credit scoring, lead generation services and other products. By harnessing the power of Data Analytics and AI, we help finance companies to reduce their credit loss, to widen their consumer base, and to fasten their release of new financial services.

We aim to transform the financial landscape through the strategic application of data analytics and AI and make a better society where financial services are accessible for everyone.

Are you ready to be part of a dynamic and passionate team at the forefront of revolutionising the financial industry? Look no further - Data Nest is the place to be!

Why Choose Data Nest?

Market-Leading Benefits: At Data Nest, we believe that our success is fueled by the talent and dedication of our team members. That’s why we’re proud to offer top-notch benefits that set us apart from the rest!

Innovation at its Core: We’re not just another company; we’re a hub of innovation, where your ideas are valued, and your creativity is encouraged.

Exciting Challenges: We tackle challenges head-on and view them as opportunities for growth. Join us in solving complex problems and pushing the boundaries of what’s possible in the world of data analytics and AI.