HiringCafe
Posted 5mo ago

Lead Data Engineer - Data Scientist

@ Staples
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Chennai, Tamil Nadu, India
OnsiteFull Time
Responsibilities:Develop models, Deploy models, Collaborate teams
Requirements Summary:Lead data engineer responsible for developing ML models, pricing strategies, and data-driven decision making in ecommerce; 6+ years in data science or related fields; strong Python SQL; experience leading projects.
Technical Tools Mentioned:TensorFlow, PyTorch, LightGBM, XGBoost, GenAI, NLP, GPT-4, BERT, SQL, Python, Git
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Job Description
Role Summary

The Lead Data Engineer will strategically work in the data science team in applying advanced analytics, machine learning, LLMs and cutting-edge technologies to propose, perform and evaluate exploratory data analysis and predictive modelling to address critical ecommerce challenges. A creative and flexible approach to problem-finding should be combined with a strategical approach to maintaining the highest standards of data-driven decision-making with faithful application of development best practices.

Duties & Responsibilities :

  • Develop and deploy sophisticated machine learning and deep learning models to solve critical business challenges such as predict customer patterns, recommendation systems, demand forecasting, and predictive analytics.  

  • Leverage advanced techniques to extract insights, automate customer interactions, and enhance user experience across e-commerce platforms.  

  • Conduct thorough testing and validation of models, employing techniques such as cross-validation, A/B testing, and performance benchmarking to ensure models deliver accurate, reliable, and consistent results.  

  • Implement dynamic pricing strategies powered by reinforcement learning, Bayesian optimization, and price elasticity modeling, integrating real-time market intelligence and competitive data to optimize profitability and market share.  

  • Work closely with cross-functional teams to identify impactful business problems, and operationalize models using scalable deployment frameworks 

  • Stay informed of emerging trends and advancements in data science, machine learning operations, and AI ethics, continuously integrating new tools and techniques into the team's workflow.

  • Ability to drive teams to success; ability to drive change and influence peers, leaders, collaborators, and individual contributors. Experience leading end-to-end data science project implementations working with Agile methodologies.


What you Bring to the Table:

  • Design, develop and implement business and technical features. 

  • Work with Architects to ensure the system is implemented as designed and in adherence with development guidelines and security standards. 

  • Partner with business, Product teams and other domain architects to translate business requirements and vision into core eCommerce functions. 

  • Create and evolve application documentation as required. 

  • Ensure that technical solutions follow best practices, are reliable and are easily maintainable 


Years of Experience:


Minimum of 6 years of experience with complex data science, applied statistics, machine learning, or mathematical modeling projects 



Requirements

Basic Qualifications:

  • Bachelor’s degree in in Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field. Alternately equivalent experience in data analysis and predictive modeling will be considered in lieu of relevant degree. 

  • 6+ years of experience with complex data science, applied statistics, machine learning, or mathematical modeling projects. 

  • Hands on experience with deep learning frameworks, LLMs, GenAI tools, and applying NLP techniques. 

  • Expertise using tools like TensorFlow, PyTorch, LightGBM, XGBoost as well as general purpose programming languages such as GPT-4, BERT is preferred. 

  • Strong understanding of data and coding skills with SQL and Python. 

  • Excellent analytical abilities and a strong intellectual curiosity 

  • Experience with cloud platforms (e.g., Azure, AWS, GCP) 

  • Proficient understanding of code versioning tools, such as Git / SVN 


Preferred Qualifications:

  • Master’s degree in computer science, Engineering, or a related field. 

  • Experience working in retail domains and developing e-commerce solutions. 

  • Familiarity with Agile methodologies and ability to thrive in fast-paced, collaborative environments.