Data Scientist

Overview

Pepsi Co Data & Analytics Overview:

With data deeply embedded in our DNA, Pepsi Co Data & Analytics transforms data into consumer delight. We build and organize business-ready data that allows Pepsi Co’s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated s enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report to in the broader D+A Organization. Members of the Data Science Pillar will lead collaboration in the larger DS community in Pepsi Co. These members are the talent powering the development and support of DS components within the life cycle of all D+A Products.

They also may support pre-engagement feasibility activities as requested and validated by the prioritization framework of D+A.

Position Overview:

Your role will be to be part of an established team in Plano, to create and support global digital developments for Pepsi Co within our Consumer Activation space. As a Data Science Senior Analyst, you will play a pivotal role in leveraging advanced analytics and machine learning to deliver impactful solutions across critical business topics relating to our consumers.

You will be part of a collaborative interdisciplinary team around data, where you will be responsible for building deployable statistical/machine learning models, beginning from the discovery phase through implementation. You’ll collaborate closely with process owners, product managers, and end-users to ensure your developments are aligned with business priorities and drive measurable outcomes.

You will be an internal ambassador of the team’s culture around data and analytics fostering a culture of innovation, analytics, and collaboration. You will provide stewardship to colleagues in the areas that you are a specialist or you are specializing contributing to the team’s growth and success in data and analytics.

• Contributing member in a digital project.
• Present your findings in a business friendly manner to our stakeholders.
• Build machine learning models with minimal oversight.
• Act as a subject matter expert in our digital project to other teams.
• Be a contributor in innovation activities.
• Partner with product managers in proving feedback on story points and tickets.
• Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
• Contribute with work activities that involve Business teams, other IT services and as required.
• Drive the use of the Platform toolset and to also focus on 'the art of the possible' demonstrations to the business as needed.
• Communicate with business stakeholders in the process of service design, training and knowledge transfer.
• Support large-scale experimentation and build data-driven models.
• Set KPIs and metrics to evaluate analytics solution given a particular use case.
• Refine requirements into modelling problems.
• Influence product teams through data-based recommendations.
• Research in state-of-the-art methodologies.
• Create documentation for learnings and knowledge transfer.
• Support in creation reusable packages or libraries.

Compensation and Benefits:

• The expected compensation range for this position is between $80,200 - $134,250.
• Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
• Bonus based on performance and eligibility target payout is 8% of annual salary paid out annually.
• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
• In addition to salary, Pepsi Co offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility:
  Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

• 3+…