Overview
On Site
USD 140,109.00 - 165,000.00 per year
Full Time
Skills
Advanced Analytics
Budget
Artificial Intelligence
Machine Learning Operations (ML Ops)
Research
Art
Documentation
Mentorship
Telecommuting
Computer Science
Science
Data Science
Database Administration
SQL
Python
R
Data Visualization
matplotlib
Plotly
Microsoft Excel
Management
Algorithms
XGBoost
Machine Learning (ML)
Modeling
Clustering
k-means clustering
Pattern Recognition
Data Wrangling
Pandas
NumPy
Data Cleansing
Mathematics
Linear Regression
Statistics
MEAN Stack
Reporting
LOS
Recruiting
Law
Job Details
Overview
Job Title: Data Science Associate Manager
Employer: PEPSICO, INC.
Location: 7701 Legacy Drive, Plano, Texas 75024
Responsibilities
Duties: Deliver key Advanced Analytics/Data Science projects within time and budget, particularly around AI/Machine. Learning models and data visualizations in scope. Partner with data engineers to ensure access for discovery and proper data is prepared for model consumption. Coordinate work activities with Product teams and Machine Learning Operations team as needed. Support large-scale experimentation and building of data-driven models. Refine requirements into statistical modelling problems. Influence product teams through data driven recommendations. Research in state-of-the-art machine learning methodologies. Create detail documentation and references for support and sustainment of developed models. Provide ad-hoc analysis as requested. Mentor and train junior data scientists and contribute to a diverse and inclusive culture.
*Telecommuting permitted 40%: Work may be performed within normal commuting distance from the PepsiCo Office in Plano, TX.
Qualifications
Job Requirements: Position requires a Master's degree (U.S. or Foreign Equivalent) in Computer Science, Engineering Science (Data Science), Data Science or Mathematics and five (5) years of experience in job offered or related role. Must have four (4) years' experience with: SQL & Database Management-Leveraging SQL queries to extract and manage data efficiently; Programming in Python and R - Developing models and performing data cleaning tasks; Data Visualization with Libraries and Tools - Creating visualizations using libraries such as Matplotlib, Plotly, ggplot, Seaborn, and tools like Excel; Supervised Machine Learning and Modelling - Building predictive models using algorithms like XGBoost, LightGBM, and Random Forest; Unsupervised Machine Learning and Modelling- Implementing clustering techniques such as K-means for pattern recognition and segmentation; Data Wrangling and Preprocessing - Using Pandas and NumPy for data cleaning, transformation, and manipulation; and Statistical Analysis and Mathematics - Applying concepts like linear regression and descriptive statistics (mean, median, mode) for data quantification and insights.
Salary: $140,109.00 USD- $165,000.00 USD/ year
QUALIFIED APPLICANTS: Visit and search req ID # 391305 or job title. Click on matching job and follow directions to submit resume.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.
PepsiCo is an equal opportunity employer. Minorities/Females/Disability/Protected Veteran.
#LI-DNI
>
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.
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
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
Job Title: Data Science Associate Manager
Employer: PEPSICO, INC.
Location: 7701 Legacy Drive, Plano, Texas 75024
Responsibilities
Duties: Deliver key Advanced Analytics/Data Science projects within time and budget, particularly around AI/Machine. Learning models and data visualizations in scope. Partner with data engineers to ensure access for discovery and proper data is prepared for model consumption. Coordinate work activities with Product teams and Machine Learning Operations team as needed. Support large-scale experimentation and building of data-driven models. Refine requirements into statistical modelling problems. Influence product teams through data driven recommendations. Research in state-of-the-art machine learning methodologies. Create detail documentation and references for support and sustainment of developed models. Provide ad-hoc analysis as requested. Mentor and train junior data scientists and contribute to a diverse and inclusive culture.
*Telecommuting permitted 40%: Work may be performed within normal commuting distance from the PepsiCo Office in Plano, TX.
Qualifications
Job Requirements: Position requires a Master's degree (U.S. or Foreign Equivalent) in Computer Science, Engineering Science (Data Science), Data Science or Mathematics and five (5) years of experience in job offered or related role. Must have four (4) years' experience with: SQL & Database Management-Leveraging SQL queries to extract and manage data efficiently; Programming in Python and R - Developing models and performing data cleaning tasks; Data Visualization with Libraries and Tools - Creating visualizations using libraries such as Matplotlib, Plotly, ggplot, Seaborn, and tools like Excel; Supervised Machine Learning and Modelling - Building predictive models using algorithms like XGBoost, LightGBM, and Random Forest; Unsupervised Machine Learning and Modelling- Implementing clustering techniques such as K-means for pattern recognition and segmentation; Data Wrangling and Preprocessing - Using Pandas and NumPy for data cleaning, transformation, and manipulation; and Statistical Analysis and Mathematics - Applying concepts like linear regression and descriptive statistics (mean, median, mode) for data quantification and insights.
Salary: $140,109.00 USD- $165,000.00 USD/ year
QUALIFIED APPLICANTS: Visit and search req ID # 391305 or job title. Click on matching job and follow directions to submit resume.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.
PepsiCo is an equal opportunity employer. Minorities/Females/Disability/Protected Veteran.
#LI-DNI
>
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.
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
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.