Data Scientist

Responsibilities

• Serve as a contributing member on digital initiatives within PepsiCo's analytics scope.
• Present findings to stakeholders in business friendly terms.
• Develop deployable machine learning models with limited supervision.
• Act as a subject matter expert on digital projects for other teams.
• Engage in innovation activities and help advance new approaches.
• Collaborate with product managers to provide feedback on user stories and tickets.
• Work with data engineers to ensure data access for discovery and prepare data for model use.
• Collaborate with business teams and other IT services as needed.
• Promote the Platform toolset and deliver demonstrations of possible solutions to the business.
• Interface with business stakeholders during service design, training, and knowledge transfer.
• Support large-scale experimentation and build data-driven models.
• Define KPIs and metrics to evaluate analytics solutions for each use case.
• Translate requirements into modelling problems and analytic approaches.
• Influence product teams with data-based recommendations.
• Conduct research on state-of-the-art methodologies and publish learnings.
• Document learnings for knowledge transfer and future reuse.
• Assist in creating reusable packages or libraries for broader use.

Requirements

• At least 3+ years applying statistical and ML techniques to supervised (regression, classification) and unsupervised problems.
• At least 3+ years developing business problem related statistical/ML models with primary focus on Python development.
• At least 2+ years using modern cloud platforms to power ML solutions.
• At least 2+ years in a product focused team delivering production level analytics.
• Ability to tell a data story and communicate insights in business-ready formats; fluent in one visualization tool.
• Strong communication and organizational skills with the ability to manage ambiguity and multiple priorities.
• Experience with Agile methodology for team work and product creation.
• Experience in Reinforcement Learning is a must.
• Experience with PySpark is a must.
• Experience with SQL is a must.
• Fluent in Git; familiarity with Jenkins or Docker is a plus.
• Experience with NLP is a plus.
• Experience with LLM is a plus.
• Experience with FAIR data practices is a plus.
• Experience with Responsible AI is a plus.
• Experience with distributed machine learning is a plus.

Technologies

• Python
• PySpark
• SQL
• Git
• Jenkins
• Docker
• NLP
• LLM
• FAIR data
• Responsible AI
• Distributed machine learning
• Visualization tool

Benefits

• Salary range: USD 80,200 - 134,250 per year.
• Starting salary determined by location, skills, experience and education; recruiter will share specifics during hiring.
• Bonus opportunity based on performance, with target payout of 8% of annual salary.
• Paid time off eligibility including parental leave, vacation, sick time and bereavement.
• Comprehensive benefits package: Medical, Dental, Vision, Disability, Health and Dependent Care Reimbursement Accounts, EAP, Insurance (Accident, Group Legal, Life), and a Defined Contribution Retirement Plan.