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Senior At&T Data Scientist Jobs (NOW HIRING)

Smart Data

Data Scientist III

Chantilly, VA

Data Scientist III Chantilly, VA (on-site at client facility) Full-Time, Long-Term Contract (1-Year ... T) mission challenges. The ideal candidate is technically curious, comfortable working across ...

New

Zantech

Data Scientist

Arlington, VA

The Data Scientist will play a crucial role in providing: * Data Acquisition, Analytics, and ... at least 2 distinct projects applying NLP, network analysis, or bibliometric analysis to S&T ...

Zantech

Data Scientist

Arlington, VA · On-site

The Data Scientist will play a crucial role in providing: * Data Acquisition, Analytics, and ... at least 2 distinct projects applying NLP, network analysis, or bibliometric analysis to S&T ...

Zantech

Data Scientist

Arlington, VA · On-site

$120 - $180/hr

The Data Scientist will play a crucial role in providing: * Data Acquisition, Analytics, and ... at least 2 distinct projects applying NLP, network analysis, or bibliometric analysis to S&T ...

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 ...

T Rowe Price

Senior Data Scientist

Baltimore, MD · 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

AI Data Scientist

Manhattan, NY · Hybrid

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 ...

Revel IT

Data Scientist | 1063265

Chantilly, VA

This position will provide support at a client facility in the Chantilly, VA area. Responsibilities ... Technical proficiency in applying data collection and analysis tools to S&T mission areas ...

New

T Rowe Price

Sr AI 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 ...

RXinsider LTD.

$120 - $180/hr

We deliver insights at critical points of care for better decisions -- from streamlining prior ... Th is role will lead efforts around process improvemen t to enhance team effectiveness in ...

New

Secure Technologies Group

WI · On-site

$90 - $150/hr

At minimum, an Associate's degree in Mathematics, Applied Mathematics Statistics, Applied ... We know that you know - salary isn't everything. SecureTech is an Equal Opportunity Employer - we ...

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 ...

Soteria Reinsurance Ltd.

$140 - $190/hr

... as t-SNE or UMAP. * Experience in one or more predictive modeling areas such as recommendation ... At Fidelity, we are passionate about making our financial expertise broadly accessible and ...

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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 30, 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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% 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 23 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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