Senior Data Scientist

Job description:

• Develop and maintain quantitative models to drive user growth efficiency, including segmentation, propensity, and recommendation models for key problems such as retention, activation, conversion, and monetization.

• Design and analyze A/B tests, uplift experiments, and causal inference studies to measure the true impact of marketing campaigns or policy changes.

• Build and train uplift and causal ML models to identify customers with the highest probability of positive response.

• Develop reinforcement learning and contextual bandit models for personalization, adaptive offers, and dynamic channel allocation; research and implement models that optimize long-term objectives such as Customer Lifetime Value (CLV).

• Design and operate optimization problems for resource, budget, and exposure allocation under real-world constraints and objectives.

• Apply deep learning (embedding, seq2seq, transformer-based recommenders) to capture multidimensional user behaviors and complex signals such as location, device, and transaction sequences.

• Collaborate closely with Product, Growth, Marketing, CRM, and Data Platform teams to deploy models into production and monitor performance accuracy and drift on a quarterly basis.

• Build guardrail metrics and growth simulation frameworks to forecast the long-term impact of product or policy changes.

• Contribute to the development of experimentation frameworks and uplift platforms with ML engineers to automate analysis and reporting.

• Develop reproducible analysis notebooks and dashboards; conduct insight workshops for non-technical stakeholders.

• Optimize data querying and processing workflows using SQL, NoSQL, and Python.

• Enhance and automate data pipelines and streaming data processes for scalability and reliability.

• Optimizing process of access, security and managing infrastructure.

• Mentor and provide technical guidance to junior Data Specialist.

• Propose product improvement ideas and write research reports.

Job requirement:

• Bachelor's degree or higher; Master's degree or published research is preferred.

• In-depth knowledge of Data Platforms/Data Science.

• Proficient in Python and SQL/NoSQL.

• At least 3 years of experience in Data Science projects.

• Strong ability to research and apply English-language materials.

Technical Competencies

• Proficient in Data Platforms and Data Science.

• Skilled in Python, SQL/NoSQL, Git, and Docker.

• Strong ability to improve and optimize processes, pipelines, and code.

Core Competencies

• Strong problem-solving skills and ability to work independently.

• Proactive in researching and adopting new technologies.

• Mentorship and teamwork support capabilities.