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Senior Data Associate Jobs in Texas (NOW HIRING)

PepsiCo

Senior Data Scientist

Plano, TX · On-site

$93K - $156K/yr

Responsibilities The Data Science Associate Principal Scientist will: * Own and operate the oneNA category forecasting engine across PBUS, PFUS, and future Quaker and Canada F&B markets. * Modernize ...

PepsiCo

Senior Data Scientist

Plano, TX

$93K - $156K/yr

Responsibilities The Data Science Associate Principal Scientist will: * Own and operate the oneNA category forecasting engine across PBUS, PFUS, and future Quaker and Canada F&B markets. * Modernize ...

PepsiCo

Senior Data Scientist

Plano, TX

$93K - $156K/yr

Responsibilities The Data Science Associate Principal Scientist will: * Own and operate the oneNA category forecasting engine across PBUS, PFUS, and future Quaker and Canada F&B markets. * Modernize ...

JP Morgan Chase

WFP Senior Data Scientist

Plano, TX · On-site

As a Data Scientist Associate Senior within the Consumer and Community Banking in Workforce Planning (WFP) you will solve complex, data-intensive, and often unstructured business problems that ...

JPMorganChase

Data Scientist-Senior Associate

Plano, TX · On-site

The Data Scientist-Senior Associate will execute analytics initiatives to improve payment performance and enable product innovation while collaborating with cross-functional teams to deliver insights ...

Merican

Developer III - Software Engineering

Frisco, TX · On-site

$114K - $151K/yr

... Senior Data Engineers, Data Engineers, and Associate Data Engineers who deliver data products across the full vertical. * The team operates across the US (Frisco, TX) and India (Hyderabad) and US ...

JP Morgan Chase

Data Owner Senior Associate

Plano, TX · On-site

As a Data Owner Senior Associate, you'll leverage AI and ML to make data AI-ready. You'll be leveraging Large Language Models, predictive models and generative AI solutions with the Consumer and ...

Lennar

Sr Manager, Data Science

Irving, TX

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... Associates throughout their career. Lennar has been recognized as a Fortune 500 company and ...

KPMG

Data Scientist- Senior Associate

Dallas, TX · On-site

$58K - $58K/yr

Collaborate closely with product managers, senior data scientists, and AI engineers to translate feature requirements into production-ready code and contribute to the team's technical objectives

Cliftonlarsonallen

Data Analyst Senior

Dallas, TX · On-site +1

$85K - $107K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard ... In contrast to an Associate, the Senior will develop more autonomy to develop solutions and may ...

MD Anderson

Senior Data Engineer - Healthcare AI

Houston, TX · On-site

$101K - $137K/yr

Azure Data Engineer Associate (DP-203), EPIC Cogito Certification, HIPAA Privacy & Security ... in a Senior Data Scientist role, knowledge of data privacy, security, and HIPAA compliance in ...

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Senior Data Associate information

What jobs pay 200,000 a year in the USA?

Senior Data Associates typically do not earn $200,000 annually; however, senior roles in data science, analytics, or engineering with advanced skills, certifications, and experience can reach or exceed this salary level. High-paying roles often require expertise in programming, statistical analysis, and familiarity with tools like SQL, Python, or cloud platforms, along with leadership responsibilities or specialized knowledge.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $100,000 to $130,000 annually, depending on factors such as industry, location, experience, and company size. In some regions and specialized sectors, salaries may exceed this range, especially for those with advanced skills in data visualization, SQL, and statistical analysis.

What is the difference between Senior Data Associate vs Data Analyst?

AspectSenior Data AssociateData Analyst
Required CredentialsBachelor's degree in data-related field; experience in data managementBachelor's degree in statistics, data science, or related field; analytical skills
Work EnvironmentData teams within corporate or research settings, often supporting data operationsBusiness or research environments analyzing data to inform decisions
Employer & Industry UsageUsed in finance, healthcare, tech companies for data support rolesCommon across industries for data interpretation and reporting

The main difference is that Senior Data Associates focus on managing and supporting data processes, while Data Analysts primarily interpret data to generate insights. Senior Data Associates often handle data quality and operations, whereas Data Analysts focus on analysis and reporting.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data associate or entering data science. Many professionals transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through online courses or certifications. Success depends on your ability to learn and adapt, not age.

What are the key skills and qualifications needed to thrive as a Senior Data Associate, and why are they important?

To thrive as a Senior Data Associate, you need expertise in data analysis, data management, and a solid understanding of database systems, often supported by a degree in statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau is typically required. Strong attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with stakeholders. These skills ensure accurate data insights, drive informed business decisions, and facilitate efficient teamwork within data-driven organizations.

What does a data associate do?

A senior data associate is responsible for collecting, organizing, and analyzing large datasets to support business decisions. They often use tools like Excel, SQL, or data visualization software and ensure data accuracy and integrity in their work environment.

What are Senior Data Associates?

Senior Data Associates are experienced professionals who manage, analyze, and interpret large datasets to support business decision-making. They are responsible for data cleaning, validation, and organization, as well as designing and implementing data collection processes. Senior Data Associates often collaborate with data scientists, analysts, and other stakeholders to ensure data accuracy and accessibility. Their role typically requires strong analytical skills, attention to detail, and proficiency in data management tools and programming languages such as SQL or Python.

How do Senior Data Associates typically collaborate with cross-functional teams within an organization?

Senior Data Associates often work closely with teams such as engineering, product management, and business analytics to ensure data integrity and support organizational goals. They are responsible for translating business requirements into data solutions, managing data pipelines, and providing actionable insights. Regular communication and collaboration are essential, as they often participate in meetings to discuss project progress, data quality issues, and upcoming analytical needs. This cross-functional interaction not only enhances the impact of their work but also fosters a collaborative, learning-oriented environment.
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Senior Data Associate jobs near you
Infographic showing various Senior Data Associate job openings in Texas as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 5% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Scientist

Senior Data Scientist

PepsiCo

Plano, TX • On-site

$93K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 864 frontline employees who took The Breakroom Quiz

131st of 389 rated food and drinks producers

Job description

Overview
The purpose of hiring this role is to establish dedicated ownership for the oneNA category forecast capability, which is critical to delivering unified, scalable, and accurate demand forecasts across North America markets.
Responsibilities
The Data Science Associate Principal Scientist will:
  • Own and operate the oneNA category forecasting engine across PBUS, PFUS, and future Quaker and Canada F&B markets.
  • Modernize inherited forecasting methodologies and drive best-in-class model design. Develop, enhance, and deploy DS modules to support category-level demand forecast accuracy, consistency, and governance.
  • Partner with demand planners and forecast analysts across business units to validate and refine outputs.
  • Lead prioritization and delivery of product enhancements aligned with the oneNA roadmap.
  • Lead a small team of data scientists, providing technical direction and coaching.

Compensation and Benefits:
  • The expected compensation range for this position is between $93,500 - $156,450.
  • 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 10% of annual salary paid out annually.
  • Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
  • In addition to salary, PepsiCo 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.

Qualifications
  • Education: Bachelor in Data Science, Statistics, Operations Research, Computer Science, Engineering, Economics, or a related quantitative discipline is required.
  • Master's is preferred.
  • Experience: 7+ years of experience in applied data science, advanced analytics, or forecasting, including ownership of end-to-end analytical solutions in production environments.
  • Demonstrated experience developing, deploying, and maintaining forecasting or predictive modeling solutions at scale.
  • Technical Skills: Strong expertise in statistical modeling, time-series forecasting, and machine learning, including model validation, accuracy/bias assessment, and performance diagnostics.
  • Proficient in Python with a track record of writing production-quality, well-documented, and reusable code.
  • Experience working with cloud-based analytics platforms (e.g., Azure), including automated pipelines, model deployment, and runtime or cost optimization.
  • Product Ownership: Proven ability to independently own complex analytical products, including lifecycle management, roadmap definition, and continuous improvement.
  • Experience modernizing existing or fragmented methodologies and driving standardization, scalability, and governance.
  • Business Partnership: Strong experience partnering with business stakeholders to validate analytical outputs and translate insights into decisions.
  • Ability to clearly communicate complex analytical concepts to both technical and non-technical audiences.
  • Leadership: Experience providing technical leadership and mentorship to data scientists, including guidance on modeling approaches, code quality, and prioritization.
  • Demonstrated ability to lead work across multiple stakeholders and initiatives concurrently.

Preferred Qualifications
  • Experience with category-level, hierarchical, or long-term demand forecasting.
  • Familiarity with scenario simulation and advanced forecast enhancement techniques.
  • Experience supporting multi-market or multi-region analytical solutions in an enterprise setting.
  • Prior experience working in globally distributed teams.

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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 age, 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 / Age
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.

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About PepsiCo

Sourced by ZipRecruiter

PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated $86 billion in net revenue in 2022, driven by a complementary beverage and convenient foods portfolio that includes Lay's, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker, and SodaStream. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Purchase, NY, US

Year founded

1965

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