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Senior At&T Data Scientist Jobs (NOW HIRING)

T Rowe Price

Senior Data Scientist

Manhattan, NY · Hybrid

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 ...

T Rowe Price

Senior Data Scientist

Manhattan, NY · Hybrid

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 ...

Versant Health

Senior Data Scientist

Troy, NY · On-site

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 ...

Tive

Senior Data Scientist

Boston, MA · On-site

$110 - $140/hr

As a Senior Data Scientist at Tive, you will own and drive data science and machine learning ... Bring creativity to unsolved problems where the right approach isn't obvious and the playbook doesn ...

Smadex

Senior Data Scientist

Austin, TX · On-site

... 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 ...

Artefact

Senior Data Scientist

Manhattan, NY · On-site

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.

Artefact

Senior Data Scientist

Manhattan, NY · On-site

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.

HazeGrayCyber

Senior Data Scientist

Washington, DC

Senior Data Analyst Req ID 002-25 v1.0 HazeGrayCyber, LLC is focused on delivering Cyber Security ... Location: Performance will take place at both the Government's facility and the contractor ...

Alliance

Senior Data Scientist

New York, NY · On-site

Senior Data Scientist Location: NYC (onsite only - not remote) Alliance is the leading accelerator ... Not willing to get hands dirty: doesn't matter how important you were in past organizations; at ...

Alliance

Senior Data Scientist

New York, NY · On-site

Senior Data Scientist Location: NYC (onsite only - not remote) Alliance is the leading accelerator ... Not willing to get hands dirty: doesn't matter how important you were in past organizations; at ...

Microsoft

Senior Data Scientist

Redmond, WA · On-site

$119K - $234K/yr

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at ... t obvious. * Create and implement comprehensive evaluation frameworks across diverse scenarios ...

Aep

Data Scientist / Data Scientist Senior

Columbus, OH · On-site

Job Summary AEP is seeking a motivated and detail-oriented Data Scientist or Data Scientist Senior ... At AEP, we're more than just an energy company - we're a team of dedicated professionals committed ...

PROPRIUS

Senior Data Scientist

San Francisco, CA

Senior Data Scientist Location: San Francisco, CA Sponsorship: Yes Relocation: Yes Industry:Data Science Are you an experienced Data Scientist with 5+ years' experience who likes solving complex ...

Bedrock Robotics

Data Scientist

New York, NY · On-site

... can't touch. If you're ready to apply cutting-edge technology to solve meaningful problems ... applied at Bedrock. This role is ideal for a senior-to-staff-level data scientist who enjoys ...

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Senior At T Data Scientist information

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$41.5K

$142.5K

$201K

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

As of Aug 13, 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.

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.

More about Senior At T Data Scientist jobs

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Senior At T Data Scientist jobs near you
Infographic showing various Senior At&T Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Senior Data Scientist

Satsyil Corporation

Arlington, VA • On-site

Other

Posted 6 days ago

Job description

Senior Data Scientist 

Clearance:  U.S. Citizen with active SECRET clearance (required).

Position Summary

Design, develop, and deploy advanced analytics and AI/ML models against commercial Science & Technology (S&T) data to enable data-driven S&T portfolio decisions for the ONR Comptroller''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''s Data & Analytics Division. Works directly with Government expert analysts to answer strategic questions and turn data into insight.

A. Minimum Qualifications 

●       Ten (10) years developing and deploying analytical models for S&T or business requirements within a DoW/DoD organization.

●       Ten (10) years in data science: statistical analysis, predictive modeling, machine learning, and algorithm development using Python, R, and SQL.

●       Ten (10) years in data wrangling and building data pipelines (batch and streaming), ETL, and integrating structured and unstructured data from multiple sources.

●       Experience on at least two (2) distinct projects applying advanced analytics (e.g., NLP, Network Analysis, Bibliometric Analysis) to S&T portfolio data.

●       Ten (10) years using data visualization tools (Tableau, Power BI, matplotlib) to communicate findings to stakeholders.

●       Five (5) years with big data technologies and cloud-based analytics platforms.

●       Five (5) years applying operational analytics relevant to workforce, logistics, or readiness missions.

●       Verifiable experience designing and deploying data solutions compliant with federal data security and governance frameworks (NIST SP 800-53, FISMA, DoD RMF).

B. On-Contract Responsibilities

●       Identify, acquire, and curate relevant commercial S&T data sets (publications, grants, patents, startup investment activity, company details, informal S&T literature) and engage directly with ONR expert analysts.

●       Develop and deploy advanced analytics — predictive, prescriptive, descriptive, and cognitive/statistical/modeling methods — plus dashboards and AI/ML models in collaboration with ONR stakeholders.

●       Build ML/AI models including Natural Language Processing (NLP) to analyze unstructured text, using platforms such as AWS SageMaker or Azure Machine Learning.

●       Support a robust data quality program (profiling, cleansing, enrichment, stewardship) and automated quality checks at ingestion to flag anomalies, schema drift, or corrupted inputs.

●       Automate reports and configure dashboards providing real-time insight into global research trends; support onboarding and training toward a data-literate workforce.

●       Support Automated MLOps: monitor deployed models for data drift/model decay, trigger automated retraining when accuracy drops below baseline, and maintain a version-controlled Model Registry.

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