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Remote Data Science R Jobs in Grand Prairie, TX (NOW HIRING)

Data Analyst Senior

Dallas, TX · On-site +1

$85K - $107K/yr

... language like R or Python. The Data Analyst Senior cleans up data for analysis and/or visual ... Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our ...

Sr/Staff Data Engineer (Remote - US)

TX · On-site +1

$165K - $300K/yr

Remote US Anticipated Start Date: 06/01/2026 The US base salary range for this full-time position ... Collaborate with data scientists, analysts, and other stakeholders to understand data requirements ...

US-Remote About the role The Insights & Analytics team at LTK is a core driver of how the company ... Experience with Python, R, or similar tools for analysis or automation is a plus, but not required.

Senior / Lead Data Engineer

Irving, TX · On-site +1

$101K - $138K/yr

... Computer Science, Economics, ora relatedfield. * 7+ years of experience in data analytics, with at least 2 years in a leadership or mentorship role. * Proficiencyin SQL, Python, R, or similar ...

Senior / Lead Data Engineer

Irving, TX · On-site +1

$101K - $138K/yr

... Computer Science, Economics, ora relatedfield. * 7+ years of experience in data analytics, with at least 2 years in a leadership or mentorship role. * Proficiencyin SQL, Python, R, or similar ...

Bachelor's degree in Computer Science, Engineering, Data Analytics, or related field preferred ... Home office setup support for remote employees. * A welcome "swag bag" with branded clothing as an ...

Senior Data Analyst

Richardson, TX · Remote

$85K - $145K/yr

... science practices. * Exposure to statistical analysis or advanced analytical techniques. * Familiarity with formal data governance or data quality frameworks. #LI-AS2 #LI-REMOTE Physical Demands and ...

Senior Data Analyst

Richardson, TX · On-site +1

$85K - $145K/yr

... science practices. * Exposure to statistical analysis or advanced analytical techniques. * Familiarity with formal data governance or data quality frameworks. #LI-AS2 #LI-REMOTE Physical Demands and ...

SAP AI Lead Developer

Plano, TX · On-site +1

$56.50 - $74/hr

Bachelors in Computer Science or equivalent work experience Nice to Have; (But not a must ... NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ...

SAP AI Lead Developer

Plano, TX · On-site +1

$56.50 - $74/hr

Bachelors in Computer Science or equivalent work experience Nice to Have; (But not a must ... NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ...

Senior Microsoft Fabric Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Dallas, TX (Hybrid/Remote) Duration: 6+ Months Core Engineering * Advanced SQL (T SQL) for large ... RLS/OLS implementation and optimization Analytics & Data Science Adjacent Skills * Statistical ...

... in a collaborative remote/hybrid environment based in Dallas. Provides strong mentorship ... Bachelor's degree (completed or working towards) in a quantitative or life sciences field (e.g ...

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Remote Data Science R information

See Grand Prairie, TX salary details

$35.5K

$116.2K

$186K

How much do remote data science r jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote data science r in Grand Prairie, TX is $116,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $128,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
What are popular job titles related to Remote Data Science R jobs in Grand Prairie, TX? For Remote Data Science R jobs in Grand Prairie, TX, the most frequently searched job titles are:
What job categories do people searching Remote Data Science R jobs in Grand Prairie, TX look for? The top searched job categories for Remote Data Science R jobs in Grand Prairie, TX are:
What cities near Grand Prairie, TX are hiring for Remote Data Science R jobs? Cities near Grand Prairie, TX with the most Remote Data Science R job openings:
Enterprise Data Operations Associate Manager

Enterprise Data Operations Associate Manager

PepsiCo

Plano, TX • On-site, Remote

$157K - $180K/yr

Full-time

Posted 7 days ago


PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 842 frontline employees who took The Breakroom Quiz

126th of 380 rated food and drinks producers


Job description

Overview

Job Title: Enterprise Data Operations Associate Manager

Employer: PepsiCo, Inc.

Location: 7701 Legacy Drive, Plano, TX 75024


Responsibilities

Duties: Review and contribute to code development while building and maintaining scalable data pipelines from internal and external sources to support product launches and ensure data quality. Develop automation and monitoring frameworks to capture pipeline performance metrics and KPIs. Implement best practices for systems integration, security, performance, and data management. Collaborate with data science and product teams on solutioning and POCs, and drive business value through increased adoption of data, data science, and business intelligence solutions. Work in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Work with product managers and data stewards within the enterprise data governance process to define and conceptualize data models across enterprise master data, transaction data, and informational data and implement those models into the enterprise data model. Partner with the data science team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Help with Intake prioritization, decision making of what to pursue across a wide base of users/stakeholders and across products, databases and services. Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products. Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance. Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape and collaborate with internal clients to drive solutioning and POC discussions.

*Telecommuting permitted 60%: work may be performed within normal commuting distance from the PepsiCo office in Plano, TX

#LI-DNI


Qualifications

Job Requirements: Position requires a Bachelor's degree (US or Foreign Equivalent) in Computer Science, Computer Engineering, Management Information Systems, or a related field and six (6) years of experience in job offered or related role. Must have five (5) years of experience with: Hands-on software development, data engineering, and systems architecture. Must have four (4) years of experience with: Data Lake Infrastructure, Data Warehousing, and Data Analytics tools; Cloud data engineering experience in at least one cloud (Azure, AWS, or GCP); Integration of multi cloud services with on-premises technologies; Data modeling, data warehousing, and building high-volume ETL/ELT pipelines; Building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets; At least one MPP database technology such as Redshift, Synapse, or SnowFlake; and Version control systems Github and Azure Devops. Must have two (2) years of experience with: Developing enterprise data models; Experience with data profiling and at least one data quality tool such as Apache Griffin, Deequ, or Great Expectations.

Salary: $157,414 - $180,000/ year

QUALIFIED APPLICANTS: Visit http://www.pepsicojobs.com and search req ID # 442783 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.


EEO Statement

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

Qualifications:

Job Requirements: Position requires a Bachelor's degree (US or Foreign Equivalent) in Computer Science, Computer Engineering, Management Information Systems, or a related field and six (6) years of experience in job offered or related role. Must have five (5) years of experience with: Hands-on software development, data engineering, and systems architecture. Must have four (4) years of experience with: Data Lake Infrastructure, Data Warehousing, and Data Analytics tools; Cloud data engineering experience in at least one cloud (Azure, AWS, or GCP); Integration of multi cloud services with on-premises technologies; Data modeling, data warehousing, and building high-volume ETL/ELT pipelines; Building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets; At least one MPP database technology such as Redshift, Synapse, or SnowFlake; and Version control systems Github and Azure Devops. Must have two (2) years of experience with: Developing enterprise data models; Experience with data profiling and at least one data quality tool such as Apache Griffin, Deequ, or Great Expectations.

Salary: $157,414 - $180,000/ year

QUALIFIED APPLICANTS: Visit http://www.pepsicojobs.com and search req ID # 442783 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.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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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