1+ months

Sr Data Scientist

Plano, TX 75074
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Auto req ID: 256957BR Job Description This role is open to candidates in Plano, TX & 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 PepsiCos 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: We are hiring for a few different teams including our cDNA & ROI teams on the Commercial side, as well as our NRM team. Your role will be to be part of growing team focused on the commercial aspect of data science. Youll 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 teams 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. Occasionally, coordinate work activities with Business teams, other IT services and as required. 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. COVID-19 vaccination is a condition of employment for this role, effective December 31, 2021. Please note that all such company vaccine requirements provide the opportunity to request an approved accommodation or exemption under applicable law. Qualifications/Requirements cDNA (Customer/Consumer Focused Data) Team Qualifications: Production-level code, code collaboration/code review, code implementation (code versioning, model improvement) experience Create scalable/sustainable solutions and drive automation wherever appropriate Find ways to deliver against or re-scope tasks when prerequisites are not met Capable of understanding and expressing technical/business concepts Capable of mentoring peers and junior team members in a technical capacity Significant experience deploying and managing production-grade Big Data systems End-to-end knowledge of data science problems, including handling large-scale data with best practices and processing large- and small-scale data Excellent problem-solving skills, including the ability to analyze and resolve complex problems Ability to effectively and concisely communicate with both business and technical audiences Knowledge of AWS, Azure, Databricks, or Snowflake data science and machine learning services Proficiency with Python, machine learning libraries such as scikit-learn, Git, shell script, and SQL is required. Experience in Scala or PySpark is a huge plus Proficiency with deep learning frameworks such as TensorFlow, Keras, and PyTorch is a plus ROI Team Qualifications: Masters Degree in Data Science or equivalent experience 1-4 years of experience beyond MS or 3-4 years of experience with a Bachelors degree Advanced experience in developing cloud-native docerized Python applications Experience and familiarity with NumPy, Pandas, Pytorch, and Snowflake/SQL Comfort in lower-level API's in an accelerated linear algebra framework that supports automatic differentiation with expansive experience in regularization. Experience using Tensorflow to design custom deep learning systems Experience with Bayes regression, inference, MCMC, and/or Bayes hiaracial models. Expert in mathematical models underlying data science methods, understanding the trade-offs between different solutions Experience in designing systems to solve business problems Demonstrated ability to effectively and concisely communicate with both business and technical audiences General Requirements: 4+ years experience building solutions in the commercial, ROI, NRM, CRM, or strategic data science space. 4+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. 4+ years experience in ETL and/or data wrangling techniques. Fluent in SQL syntaxis. 4+ years experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. Experiences with Deep Learning are a plus. 4+ 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. Relocation Eligible: Not Applicable Job Type: Regular All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901 - 4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy Please view our Pay Transparency Statement","city":"Plano","state":"Texas

Jobs Rated Reports for Data Scientist

Posted: 2021-11-18 Expires: 2022-02-13

Performance with Purpose

Out performing ourselves is a rush. That's why we perform with purpose. Together, we blaze new trails, succeed, celebrate and then do something even bigger. We never settle for second best. At PepsiCo we're not just committed to performing well as individuals, but as a team, to strengthen the company as a whole.

Around the world, we're working hard to give people the tastes they crave and the nutrition they need. We dream globally and act locally, constantly innovating to sustain our planet, our people, our communities and our business practices. New markets mean new ways of doing business, and new ways of addressing health concerns, cultural differences and environmental challenges. Every day is an adventure, and an opportunity for personal and professional growth.

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Sr Data Scientist

PepsiCo Inc.
Plano, TX 75074

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Data Scientist
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Median Salary: $114,520

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