Data Scientist

Data Scientist jobs at Big-Data.digital

Data Scientist

$ Not disclosed

Auto req ID: 251324BR

Job Description

This role is open to candidates in Plano, Chicago, and Purchase, NY.

PepsiCo Data & Analytics Overview:

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

The Data Science Pillar in D+A will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within D+A Products. And will support “pre-engagement” activities as requested and validated by the prioritization framework of D+A.

Position Overview:

Your role will be to be part of growing team focused on the commercial aspect of data science. You’ll create and support global digital developments for PepsiCo. These developments will be around topics like revenue management, assortment optimization, marketing mix modeling, marketing audience selections, sales effectiveness, prescriptive analytics, in market execution, and more.

You will be part of a collaborative interdisciplinary team around data, where you will be responsible of building deployable statistical/machine learning models, starting from the discovery phase. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.

You will be an internal ambassador of the team’s culture around data and analytics. You will provide stewardship to colleagues in the areas that you are a specialist or in which you are specializing.

Primary Accountabilities:

  • Active contributor to code development in projects and services
  • Act as contributor in innovation activities
  • Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
  • Partner with ML engineers working on industrialization.
  • 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.
  • Create reusable packages or libraries.

Qualifications/Requirements

  • 2+ years’ experience building solutions in the commercial or in the supply chain space.
  • 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
  • 2+ years’ experience in ETL and/or data wrangling techniques. Fluent in SQL syntaxis.
  • 2+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. Experiences with Deep Learning are a plus.
  • 2+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Scala development.
  • Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool.
  • Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities.
  • Experience with Agile methodology for teamwork and analytics ‘product’ creation (e.g., Jira, Confluence).
  • Experience with cloud services is a must, Azure is a plus.
  • Experience in Reinforcement Learning is a plus.
  • Experience in Simulation and Optimization problems in any space is a plus.
  • Experience with Bayesian methods is a plus.
  • Experience with Causal inference is a plus.
  • Experience with NLP is a plus.
  • Experience with working with FAIR data is a plus.
  • Experience with Responsible AI is a plus.
  • Experience with distributed machine learning is a plus
Competencies:
  • Creative and collaborative mindsets.
  • Translates complex technical solutions into business understanding.
  • Creates solutions with the ability to continually prove accuracy and with a design goal of productization/ reusability.

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Published 2021-09-25

PepsiCo looks for a Data Scientist in Plano, TX location.

How much Data Scientist Jobs professional earns at PepsiCo?

The proposed salary for Data Scientist Jobs position at PepsiCo is Not disclosed.

Data Scientist responsibilities at PepsiCo

According to the common industry standard, Data Scientist Jobs specialist is in charge for the following activities.

Required Data Scientist Jobs qualifications at PepsiCo

To be disscussed with candidate