Life Scientist ofertas em United States

Data Scientist (Risk)

Department: Risk B2C

Employment Type: Full Time

Location: Remote

Reporting To: Mikhail Gritskikh

Description

Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 5,000,000 active users choose Tabby to stay in control of their spending and make the most out of their money.

Over 30,000 global brands and small businesses, including H&M, Adidas, IKEA, SHEIN, noon, and Bloomingdale's, use Tabby's technology to accelerate growth and gain loyal customers by offering flexible payments online and in stores.

Tabby is active in Saudi Arabia, UAE, Egypt and Kuwait and backed by leading investors, including Sequoia Capital India, STV, PayPal Ventures, Mubadala Investment Capital, Arbor Ventures and others.

We are seeking a highly skilled and motivated Data Scientist to join our Data Science stream in Risk Department. In this role, you will leverage advanced machine learning techniques and state-of-the-art approaches to drive data-driven decision-making and refine our risk strategies. You'll work in a dynamic and fast-paced environment, contributing to impactful projects.

Key Responsibilities

• Design, develop, and maintain models using advanced machine learning techniques.
• Regularly monitor and validate existing models to ensure accuracy and relevance in risk assessment.
• Build and manage diverse data marts in BigQuery to support analytical requirements.
• Continuously optimize risk models to improve predictive accuracy and operational efficiency.
• Provide data-driven insights through ad-hoc analyses to inform strategic decisions.

Skills, Knowledge & Expertise

• At least 2 years of experience in roles such as Data Scientist, ML Engineer, or Risk Analyst, with a proven track record of impactful contributions in credit scoring.
• Proficiency in Python and experience with key data science and machine learning libraries (e.g., NumPy, Pandas, scikit-learn, CatBoost, XGBoost, LightGBM).
• Strong knowledge of PyTorch, with the ability to implement and fine-tune complex machine learning models.
• Advanced knowledge of SQL, with the ability to work effectively with large datasets.
• Experience in building and deploying end-to-end machine learning solutions that drive measurable business impact.
• Hands-on experience with tools like Airflow and Docker for deploying machine learning models into production.
• Fluency in English to collaborate effectively with analysts and stakeholders.
• Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure for scalable data analysis and model deployment.
• Proficiency in visualization tools like Tableau or Power BI to effectively communicate insights and support decision-making.
• Prior experience working with financial datasets and a strong understanding of risk management principles.

Job Benefits

• We offer remote work from anywhere in the world and are happy to work out an individual relocation plan for you.
• Our employees have the opportunity to choose a country for registration: at the moment those are Armenia/Georgia/Serbia/Portugal/Spain.
• We will help you open a legal entity and a bank account. In Armenia and Georgia the taxes are compensated by Tabby. In other countries we provide partial compensation of taxes.
• We employ according to B2B contracts (service agreements).
• For our employees we cover the following:
• Flight to one of the mentioned countries.
• Accommodation during the paperwork completion period.
• Opening a bank account and getting a residence permit in one of the mentioned countries.
• Family relocation (dependants).
• New employees can also choose an alternative method of relocation to another country of their choice. In this case, Tabby will reimburse up to $5,000 of verified costs upon opening a legal entity and a bank account.
• We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
• A working environment that gives you autonomy and responsibility from day one.
• Participation in company's employee stock options program.
• Health Insurance.

We are passionate about creating an inclusive, high-performing workplace that gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be).

If this sounds exciting to you, we'd love to hear from you!