We are looking for smart, proficient individuals with a strong foundation in Python programming, critical reasoning, and data analysis. The ideal candidate should be passionate about learning and enjoy working in a collaborative and dynamic environment.
Key Responsibilities
- Model Development & Deployment. Build and deploy state-of-the-art ML/DL models, causal systems, and RL models, focusing on ranking and recommendation systems.
- Stakeholder Collaboration. Engage with product and revenue management teams to gather data, select appropriate models, and set up A/B experiments.
- Team Collaboration. Work closely with other data scientists, as well as data and software engineers, to develop robust model infrastructure and APIs.
- Continuous Improvement. Iteratively enhance baseline models through A/B testing and continuous updates to achieve state-of-the-art architecture.
- Impactful Solutions. Transform large datasets into valuable business insights, creating significant impact through innovative data science solutions.
Key Qualifications
- Programming Skills. Strong proficiency in Python, experience with PySpark is a plus.
- ML/DL Expertise. Extensive knowledge in ML/DL with solid mathematical and statistical foundations.
- Model Training & Deployment. Proven experience in training and deploying ML/DL models.
- Advanced Modelling Techniques. Experience with deep contextual bandits, reinforcement learning, inverse RL, or causal ML modelling.
- Econometric Integration. Ability to blend ML/DL models with econometric methods for pricing and discounting.
- Industry Experience. Prior experience in e-commerce B2C is highly desirable.
- Problem-Solving Skills. Strong problem-solving and first-principles thinking abilities.
- Work Environment. Ability to thrive in a fast-paced, impact-driven environment.
Educational Qualifications
- Academic Background. BE/BTech from Tier 1 institutions (IIT/ISI/NIT/BITS/BIT/IIIT/REC).
- Advanced Degrees. MS or Ph.D. in AI/ML, Econometrics/causal/applied statistics, Computer Science, or equivalent.
- Experience. 5-8 years of relevant experience in data science, AI, or ML roles.
Why Join Us?
- Innovative Projects. Work on cutting-edge projects that directly impact business outcomes.
- Collaborative Culture. Be part of a team that values collaboration, continuous learning, and innovation.
- Growth Opportunities. Opportunities to develop and enhance your skills in a supportive environment.
If you are passionate about leveraging data science to drive business success and enjoy working in a dynamic, fast-paced environment, we would love to hear from you!