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Senior At&T Data Scientist Jobs (NOW HIRING)

At T. Rowe Price, Data Scientists build the analytics and AI that power better investment decisions. Position is available in our New York City office or at our brand-new AI Data Science squad at our ...

At T. Rowe Price, our Data Scientists develop the analytics and AI solutions that drive better ... from senior team members. * Develop robust Python notebooks, jobs, and pipelines (using pandas ...

At T. Rowe Price, Data Scientists build the analytics and AI that power better investment decisions. Position is available in our New York City office or at our brand-new AI Data Science squad at our ...

This role operates at the intersection of data science, data engineering, cloud analytics platforms ... SQL (advanced T-SQL optimization, analytical patterns) * ML explainability and governance ...

Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is ... The Senior Data Scientist is expected to approach all responsibilities with rigor and scientific ...

... at all levels of the company. Qualifications : Required : • 3+ years of experience as a Data ... the US won't be considered. Company : Smadex is an innovative mobile advertising technology ...

What You Will Be Doing As a Senior Data Scientist, you'll be the technical engine behind some of ... We learn every day - In a field moving at the speed of light, intellectual curiosity isn't optional.

Senior Data Scientist

Boston, MA · On-site

$130K - $180K/yr

At Tive, we imagine a fully-transparent world in which everything and everyone is connected. We ... Bring creativity to unsolved problems where the right approach isn't obvious and the playbook doesn ...

Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well ... Our Senior Data Scientist jobs earn between $139,000.00 - $233,500.00 USD Annual. Not to mention ...

This isn't just another data science role-it's an opportunity to transform raw data into actionable ... Operate independently at a senior level with limited oversight. * Identify capability gaps and ...

Why GM Financial Technology Innovation isn't just a talking point at GM Financial, it's how we ... The Senior Data Scientist is responsible for Implementing the design, development, deployment, and ...

Why GM Financial Technology Innovation isn't just a talking point at GM Financial, it's how we ... The Senior Data Scientist is responsible for Implementing the design, development, deployment, and ...

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Senior At T Data Scientist information

See salary details

$41.5K

$142.5K

$201K

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

As of Jul 27, 2026, the average yearly pay for senior at&t data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including for senior roles at companies like AT&T. Success in data science depends on skills, experience, and continuous learning, which can be developed at any age through certifications, projects, and staying current with tools like Python or R.

Can data scientists make $300k?

Senior data scientists, including those at companies like AT&T, can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and in high-cost-of-living areas. However, such salaries are typically reserved for senior roles with significant expertise, leadership responsibilities, or specialized knowledge, and may include bonuses and stock options.

How much does a senior data scientist make at AT&T?

A senior data scientist at AT&T typically earns between $110,000 and $150,000 annually, depending on experience, location, and skills. Compensation may also include bonuses and stock options, with additional benefits such as health insurance and retirement plans.

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

AspectSenior At&T Data ScientistData Analyst
Required CredentialsAdvanced degree in Data Science, Statistics, or related field; experience with machine learningBachelor's degree in related field; proficiency in data visualization and basic analytics
Work EnvironmentCollaborates with data engineering, product teams, and executives in a corporate settingSupports business units by analyzing data, creating reports, and providing insights
Employer & Industry UsageCommon in telecommunications, tech, and large enterprises like At&TWidely used across industries for business intelligence and operational support

Senior At&T Data Scientists focus on advanced analytics, machine learning, and predictive modeling, often requiring higher education and specialized skills. Data Analysts typically handle data collection, reporting, and basic analysis to support business decisions. While both roles work with data, the senior data scientist role involves more complex modeling and strategic insights, whereas data analysts focus on operational reporting and data management.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Data Science Director, especially in large corporations or tech companies. These roles typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities.
More about Senior At T Data Scientist jobs
What cities are hiring for Senior At&T Data Scientist jobs? Cities with the most Senior 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 Senior At&T Data Scientist jobs? States with the most job openings for Senior At&T Data Scientist jobs include:
Infographic showing various Senior At&T Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Senior Data Scientist

Senior Data Scientist

T Rowe Price

Manhattan, NY • Hybrid

Other

Posted 22 days ago


T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

About the Team

Are you a curious problem solver who asks great questions and loves collaborating across disciplines?At T. Rowe Price, Data Scientists build the analytics and AI that power better investment decisions. Position is available in our New York City office or at our brand-new AI Data Science squad at our new Baltimore, MD Harbor Point location. Both locations offer the opportunity to collaborate with top talent, drive innovation, and make a real impact in asset management. If you're a handson leader who cares about people as much as technology, we'd love to talk.

Role Summary

This is a handson, endtoend lead role-from discovery to production. As a team leader, you will think creatively and scale modern AI/Data Science practices on Databricks, set team standards, and drive collaborative delivery. T. Rowe Labs is focused on building the firm's nextgeneration data and AI platform, aiming to seamlessly deliver ondemand MLpowered insights across our firm.

Responsibilities

  • Contribute to the full data & model lifecycle: problem framing, EDA, feature engineering, modeling, evaluation, deployment, and monitoring.

  • Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Workflows/Jobs); apply CI/CD and reproducible experiments.

  • Employ automated testing for code, data, and models (unit tests, data validation, drift/bias checks); ensure repeatable pipelines.

  • Identify and address data/model technical debt; improve schemas, data contracts, and performance/cost.

  • Deliver welldefined work items; clarify requirements through thoughtful questions and proposals.

  • Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture.

  • Own the quality, maintainability, security, governance, and total cost of ownership of delivered solutions.

  • Help shape elements of the data/ML platform strategy and drive execution within your domain.

  • Balance strategic and pragmatic concerns; proactively surface risks and resolve issues.

Qualifications

Required:

  • BS/MS in a quantitative field (CS, Statistics, Applied Math, Engineering, Economics) or equivalent; 5+ years in data science/ML.

  • Experience with automated pipelines, testing for data/models, and model lifecycle management (registry, versioning, monitoring).

  • Solid understanding of cloudnative architectures (AWS).

  • Excellent communication and collaboration skills; adept at asking incisive questions and aligning diverse stakeholders.

Preferred:

  • Experience with AI/GenAI (LLMs, RAG, prompt design/evaluation).

  • Strong Python and Spark expertise; handson Databricks experience (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows).

  • Timeseries/NLP experience; BI/analytics tooling (Databricks SQL, Tableau/Power BI, dbt).

  • A solid understanding of financial markets and instruments.

  • Commitment to quality via unit/integration tests, data validation, documentation, and code review.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status.


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