Data Scientist - Hyderabad, India - PepsiCo
Description
Overview
- Use of advanced R or Python programming for model development.
Responsibilities
- Build and manages automation pipelines to operationalize the machine learning platform and machine learning pipelines for fully automated CI/CD pipelines.
- Strong ability to build statistical & machine learning modeling
- Helps define product features, drives the system architecture, and spearheads the best practices that enable a quality product.
- Emphasis is on endtoend delivery of analysis
- Contribute to how analytical approach is structured for specification of analysis
- Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems
- Participate in design of analysis and modelling approach with managers and modelers
- Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and proactively working with client's data/ IT teams to resolve issuesUse of advanced R or Python programming for model development.
Qualifications- Required skills: Advanced R or Python programming- 6+ years of experience in reliably and efficiently developing predictive models including machine learning- 4+ years of experience managing / working in teams and delegating project specific responsibility for seamless delivery- Strong interpersonal skills to effectively interact with client/onshore personnel to understand data science requirements.- Lead multiple modeling projects, able to challenge existing approach and recommend new advanced machine learning techniques- Able to assign work and mentor existing resources on ML projects- Experience in retail, e-commerce and BFSI domain is preferred.- Master's or Bachelor's degree in math, statistics, economics, computer engineering or related analytics field from a premier institute of India- Proven track record in ML & Predictive analysis using technologies like Python, Spark.- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)- Experience with SnowFlake data platform and AWS platform- Experience with Agile Methodology- Reformulate highly technical information into concise, understandable terms for presentations- Expertise in machine learning models for both supervised and unsupervised cases.- Detailed model development experience (random forest models, XGBoost, advanced machine learning techniques)- Able to present work (project status, data driven analysis) to client using Excel or PPT- Have a proactive communication, lead multiple modeling projects, able to challenge existing approach and recommend new advanced machine learning techniques- Able to assign work and mentor existing resources on modeling projects- Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
Outstanding written and verbal communication skills
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