Data Science Lead
1 month ago
1. Data Modeling & Algorithm Development
- Develop and implement advanced data models and algorithms to address complex consumer problems, enhancing product functionality and user experience.
- Collaborate with cross-functional teams to integrate machine learning models into production environments.
2. Domain Expertise
- Apply expertise in at least one of the following areas:
- Logistics: Develop solutions for supply chain optimization, address validation, and return-to-origin processes.
- Search: Enhance search algorithms to improve relevance and efficiency.
- Personalization/Recommendations/Ranking: Create personalized experiences for users through recommendation systems and ranking algorithms.
3. Performance Tracking & Improvement
- Monitor and evaluate the performance of models and algorithms, iterating on solutions to achieve optimal results.
- Utilize data-driven insights to refine and enhance existing models.
4. Team Leadership & Mentorship
- Mentor junior data scientists and analysts, providing guidance on best practices and fostering a culture of continuous learning and improvement.
- Lead project teams to ensure alignment with business goals and timely delivery of data science initiatives.
5. Collaboration with Stakeholders
- Work closely with product managers, engineers, and other stakeholders to translate business requirements into technical specifications.
- Present findings and recommendations to senior management and other stakeholders, facilitating data-driven decision-making.
6. Research & Innovation
- Stay updated with the latest advancements in data science, machine learning, and AI, applying cutting-edge techniques to solve complex problems.
- Contribute to the development of best practices and innovative solutions within the organization.
Qualifications
- Education: Tier 1 Computer Science (CS) (CGPA > 7.5)
- Institutions include: IITs, NIT Warangal, NIT Trichy, IIIT Allahabad, IIIT Hyderabad, DTU/DCE/NSIT, BITS Pilani OR MS in AI/ML from a top US university
- Proven track record of successfully working on data modeling or algorithms that solve consumer problems.
- Strong programming skills in languages such as Python, R, or Java, and proficiency in data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data visualization tools (e.g., Tableau, Matplotlib).
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