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Remote At&T Data Scientist Jobs (NOW HIRING)

Great Gray

Data Scientist

At Great Gray Group, we strive to set the bar for the retirement services industry. Our goal is to ... Complacency isn't in our vocabulary. Every day, we look for opportunities to better serve our ...

Great Gray

Data Scientist

At Great Gray Group, we strive to set the bar for the retirement services industry. Our goal is to ... Complacency isn't in our vocabulary. Every day, we look for opportunities to better serve our ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

The world can't wait. You Have: * 6+ years of experience with data science, statistical analysis ... remote, there may still be occasions when you are required to work in person at a Booz Allen or ...

kgs

Data Scientist (Remote)

Nashville, TN · Remote

... remote environment to deliver data science solutions that drive measurable improvements in IT Call ... identify at-risk SLA performance periods, and support proactive operational decision making.

kgs

Data Scientist (Remote)

Nashville, TN · Remote

... remote environment to deliver data science solutions that drive measurable improvements in IT Call ... identify at-risk SLA performance periods, and support proactive operational decision making.

Booz Allen Hamilton, Inc.

Data Scientist

Albuquerque, NM · On-site +1

$99K - $225K/yr

The world can't wait. You Have : * 5+ years of experience with data exploration, data cleaning ... remote, there may still be occasions when you are required to work in person at a Booz Allen or ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Position Description At Zenlaw, we rely on data to guide our initiatives. This data helps to mold ... As a Data Scientist, you will be working with our engineering team to model complex problems and ...

kgs

Data Scientist (Remote)

Nashville, TN · Remote

... remote environment to deliver data science solutions that drive measurable improvements in IT Call ... identify at-risk SLA performance periods, and support proactive operational decision making.

kgs

Data Scientist (Remote)

Nashville, TN · Remote

... remote environment to deliver data science solutions that drive measurable improvements in IT Call ... identify at-risk SLA performance periods, and support proactive operational decision making.

Koniag, Inc.

Data Scientist (Remote)

Nashville, TN · On-site +1

$95K - $104K/yr

... remote environment to deliver data science solutions that drive measurable improvements in IT Call ... identify at-risk SLA performance periods, and support proactive operational decision making.

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

The world can't wait. You Have: * 5+ years of experience in data science or machine learning ... remote, there may still be occasions when you are required to work in person at a Booz Allen or ...

Booz Allen Hamilton, Inc.

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

The world can't wait. You Have: * Experience leading AI/ML analytics programs * Experience ... remote, there may still be occasions when you are required to work in person at a Booz Allen or ...

Candid

Data Scientist

Data scientists at this level work fairly independently on project-defined scope, often embedded ... Remote. In-person attendance is expected twice per year during our annual, weeklong all-staff ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Join us. The world can't wait. You Have: * 2+ years of experience with data exploration, data ... remote, there may still be occasions when you are required to work in person at a Booz Allen or ...

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

Join us. The world can't wait. You Have: * 3+ years of experience with data exploration, data ... remote, there may still be occasions when you are required to work in person at a Booz Allen or ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

The world can't wait. You Have: * 4+ years of experience using data science programming languages ... remote, there may still be occasions when you are required to work in person at a Booz Allen or ...

Booz Allen Hamilton, Inc.

Data Scientist

Atlanta, GA · On-site +1

$99K - $225K/yr

Join us. The world can't wait. You Have: * 8+ years of experience with data exploration, data ... remote, there may still be occasions when you are required to work in person at a Booz Allen or ...

Booz Allen Hamilton, Inc.

Data Scientist

Aurora, CO · On-site +1

$77K - $176K/yr

The world can't wait. You Have: * 5+ years of experience using data science programming languages ... remote, there may still be occasions when you are required to work in person at a Booz Allen or ...

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Remote At T Data Scientist information

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How much do remote at&t data scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote at&t data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a Remote AT&T Data Scientist do?

A Remote AT&T Data Scientist is responsible for analyzing large sets of data to uncover patterns and insights that can help AT&T make better business decisions. They use statistical methods, machine learning, and programming skills to solve complex problems related to customer behavior, network optimization, and product development. Working remotely, they collaborate with other teams to develop data-driven solutions and present their findings to stakeholders. Their work helps drive innovation, efficiency, and improved customer experiences at AT&T.

What skills and qualifications are needed to thrive as a Remote AT&T Data Scientist?

To thrive as a Remote AT&T Data Scientist, you need expertise in statistics, machine learning, programming languages like Python or R, and a degree in data science, computer science, or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services, and data visualization tools, as well as certifications like AWS Certified Data Analytics, is often expected. Strong problem-solving, communication, and collaboration skills are essential to interpret complex data and convey insights to diverse teams. These skills ensure the effective analysis of large datasets and support data-driven decision-making critical to AT&T’s business objectives.

How does a Remote AT&T Data Scientist typically collaborate with cross-functional teams while working remotely?

As a Remote AT&T Data Scientist, you'll regularly collaborate with engineering, product, and business teams through virtual meetings, shared documentation, and collaborative platforms like Slack or Microsoft Teams. Effective communication and proactive updates are key, as you’ll often discuss project requirements, share analytical insights, and align on business objectives remotely. Despite not being physically present, you'll be expected to participate in agile workflows, contribute to team discussions, and present findings to both technical and non-technical stakeholders. This setup requires strong self-management skills and a willingness to engage actively with distributed colleagues.

What is the difference between Remote At&T Data Scientist vs Remote At&T Data Analyst?

AspectRemote At&T Data ScientistRemote At&T Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Analytics, Business, or related field; proficiency in data visualization
Work EnvironmentAdvanced analytics, model development, predictive modelingData interpretation, reporting, data cleaning
Employer & Industry UsageTechnology, telecommunications, large corporationsBusiness intelligence, marketing, operations

Remote At&T Data Scientists focus on developing predictive models and advanced analytics, requiring specialized skills in machine learning. Data Analysts handle data interpretation and reporting, often with less emphasis on complex modeling. Both roles are integral to telecom and large enterprise environments, but they differ in technical depth and responsibilities.

Can I work remotely as a data scientist?

Remote data scientist positions are common in many companies, including large organizations like AT&T. These roles typically require strong skills in programming, data analysis, and tools such as Python or R, and often involve collaboration through online platforms. The availability of remote work depends on the company's policies and the specific job requirements.

Does AT&T allow remote work?

AT&T offers remote work opportunities for many roles, including data scientists, depending on the position and team needs. Employees in remote roles typically use collaboration tools and may need to meet certain technical or security requirements. Availability of remote work can vary by department and location.

What cities are hiring for Remote At&T Data Scientist jobs?

Cities with the most Remote At&T Data Scientist job openings:

What are the most commonly searched types of At&T Data Scientist jobs?

The most popular types of At&T Data Scientist jobs are:

What states have the most Remote At&T Data Scientist jobs?

States with the most job openings for Remote At&T Data Scientist jobs include:

What are popular job titles related to Remote At&T Data Scientist jobs?

For Remote At&T Data Scientist jobs, the most frequently searched job titles are:

Remote At T Data Scientist jobs near you

Principal D&T Data Scientist

Minneapolis, MN • On-site, Remote

General Mills
Manufacturing • 10K+ employees
Learn more about General Millsexternal

Full-time

Medical, Retirement

Re-posted 13 days ago

General Mills rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

Job description

COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.
JOB OVERVIEW:
The Principal Data Scientist position is a senior technical leader who strategizes enterprise-grade AI solutions, spanning agentic AI, NLP, optimization & machine learning, to unlock measurable value across the Supply Chain and aligned domains. By working as a strategic partner to Supply Chain and cross-functional leaders in Product and Engineering, this role translates complex business requirements into rigorously framed analytical problems and robust, production-grade decisioning systems.
The Principal Data Scientist shapes and governs the end-to-end AI architecture and strategic roadmap on a variety of AI platforms, ensuring AI capabilities are secure, scalable, and aligned with General Mills technology strategy. They elevate the broader Data Science community through technical mentorship and leadership in AI/ML best practices that accelerate high-quality solution delivery and responsible AI adoption.
KEY ACCOUNTABILITIES:
  • Lead, design, and execute novel, end-to-end AI solutions and systems that help business partners achieve strategic objectives through advanced analytics, modeling, and optimization, with a primary focus on complex Supply Chain decisioning.
  • Partner with data science leadership, engineering, AI platform teams, and business stakeholders to define, prioritize, and deliver production-grade AI/ML products and services, leveraging best-in-class tools, frameworks, and cloud-native architectures on GCP.
  • Provide technical leadership through strong business partnership, challenging assumptions, offering alternate architectural patterns, and making informed trade-offs between complexity, performance, cost, and long-term maintainability.
  • Lead the reference architecture, design, and implementation of LLMs, NLP, and computer vision-driven solutions, owning patterns for problem framing, data curation, model lifecycle, and integration with core enterprise platforms and applications.
  • Provide technical oversight across core data science methodologies-including statistical, machine learning, and optimization approaches, ensuring method selection, validation, and implementation are rigorous, fit-for-purpose, and consistent with AI standards.
  • Partner closely with AI Leadership, ML Engineering, and business stakeholders to define and evolve the architecture for agentic AI and retrieval-augmented systems, establishing standards, guardrails, and reusable components.
  • Own the creation and operationalization of production-ready, scalable AI platforms, services, and models that provide real-time or near-real-time insights and decisions, fully aligned with General Mills technology standards for security, reliability, observability, and lifecycle management.
  • Provide technical leadership for analytical solution design and experimentation through hypothesis-driven approaches, robust evaluation strategies, and clear error taxonomies, with strong documentation and governance to ensure transparency, reproducibility, and reuse across capabilities.
  • Serve as a key member of the Data Science leadership team, shaping technical strategy, multi-year capability roadmaps, architectural standards, and operating practices that scale AI impact across the enterprise.
  • Coach and develop data scientists and adjacent talent through deep technical reviews and mentoring on advanced AI concepts, domain best practices, and effective use of shared platforms and patterns.
  • Champion Responsible AI by ensuring privacy, security, and governance compliance; proactively identifying and reducing model risks and embedding responsible AI principles into architecture, processes, and user experiences.
  • Act as an internal and external thought leader on AI strategy, architecture, and data science, representing the Digital and Technology organization in forums, communities of practice, and key stakeholder engagements.

MINIMUM QUALIFICATIONS:
  • 10+ years of experience in data science / applied analytics, with ownership of end-to-end solutions from problem framing through production and measurable business impact with at least 3 years in a Principal, Lead, or equivalent senior technical level.
  • Advanced degree in a quantitative field (Data Science, Computer Science, Engineering, Statistics, Math, Operations Research, or related).
  • Strong expertise in core data science methodologies (statistical modeling, machine learning, optimization) and their practical application to complex business problems.
  • Hands-on experience architecting and deploying scalable AI/ML solutions on a major cloud platform (preferably GCP).
  • Proven track record of building and operating production-grade models and decisioning systems at scale, including monitoring, performance management, and lifecycle governance.
  • Demonstrated technical leadership setting technical direction, establishing standards, and influencing architecture and platform decisions.
  • Experience leading complex AI/ML programs across multiple teams, with strong grasp of project/program management fundamentals (roadmaps, prioritization, risk/dependency management).
  • Experience with unstructured data and advanced AI (e.g., LLMs, NLP, computer vision) integrated into business workflows and applications.
  • Strong communication skills, with the ability to clearly explain analytical concepts, results, and trade-offs to both technical and non-technical stakeholders.
  • Proficiency with modern data science engineering practices: version control, code review, testing, CI/CD for models, and agile delivery.
  • Demonstrated ability to mentor and develop other data scientists, leading by example on modeling rigor, experimentation, and documentation.
  • Proven ability to stay current on evolving AI/ML technologies and to anticipate, evaluate, and advocate for appropriate adoption within the enterprise.

PREFERRED QUALIFICATIONS:
  • Deep experience applying data science and AI to Supply Chain domains (e.g., planning, logistics, manufacturing, sourcing).
  • Experience leading solutions that combine traditional modeling (predictive/prescriptive analytics, optimization) with newer paradigms (LLMs, agentic AI, RAG) in production.
  • Exposure to large-scale data processing and modern stack components
  • Evidence of thought leadership in data science (e.g., internal forums, publications, or open-source contributions).

ADDITIONAL CONSIDERATIONS:
  • International relocation or international remote working arrangements (outside of the US) will not be considered.
  • Applicants for this position must be currently authorized to work in the United States on a full-time basis. General Mills will not sponsor applicants for this position for work visas.

SALARY RANGE
The salary range for this position is:
$149,500 - $249,300 Annual
At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.
Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.
ELIGIBILITY
Applicants must meet a minimum 18-year age qualification.
EQUAL OPPORTUNITY EMPLOYER (EOE)
General Mills is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, marital or familial status, status regarding public assistance, or membership or activity in a local human rights commission.
REASONABLE ACCOMODATION REQUEST
If you need to request an accommodation during the application or hiring process, please fill out our online accommodation request form by following this link: Accommodation Request.

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About General Mills

Sourced by ZipRecruiter

General Mills, Inc. manufactures some of the most beloved foods in the world, including Cheerios and Lucky Charms, Nature Valley granola bars, Totino's pizza rolls, and Yoplait yogurt. Blue Buffalo became part of General Mills in 2018, so even your pets love us too.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1928

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