Data Science Lead
3 weeks ago
About the Role
We are seeking an experienced analytics professional to lead our data science efforts. The ideal candidate will have a strong background in machine learning and be able to drive business impact through data-driven insights.
Key Responsibilities
- Conceptualize, design, and deliver high-quality solutions and insightful analysis on a variety of projects.
- Conduct research and prototyping innovations, data and requirements acquisition, solution scoping and architecture.
- Collaborate with product managers in defining clear business problems and corresponding metric definition.
- Partner with Data Engineering, Frontend Engineering, and Web Design teams to collaborate and improve the product solutions.
- Lead and groom the pool of data scientists for solving complex problems using data science.
- Manage the development of NAVIK suite of products and NAVIK AI Platform.
Requirements
- 4-8 years of rich experience in implementing Machine/Statistical Learning solutions to complex business problems at scale.
- Rich experience in various Machine Learning techniques like Regression, Classification, Ensemble of Decision Trees, Support Vector Machines, Artificial Neural Networks, Clustering, Dimension Reduction, etc.
- Intermediate-level proficiency in Python or R.
Preferred Qualifications
- Bachelor's/Master's degree in Computer Science or Master's degree in Statistics/Economics/Business Economics/Econometrics/Operations Research.
- Experience in implementing advanced techniques/methods like Recommender Systems, Association Rule Learning, Convolutional Neural Network, Recurrent Neural Network, Natural Language Processing, Reinforcement Learning, Time-series Analysis, and Bayesian methods.
- Experience in productionizing machine learning models for analytics-based SaaS products.
- Familiarity with A/B site testing and evaluation.
- Expert-level proficiency in Python or R or both.
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