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Entry Level At&T Data Scientist Jobs (NOW HIRING)

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 investment decisions. Position is available in our New York City office or at our brand-new AI Data ...

KēSTA I.T.

Data Scientist

Lehi, UT

$120K - $145K/yr

KēSTA I.T. is actively seeking multiple mid-level Data Scientists for immediate full-time ... at every level we want to talk to you today! Where do you want to go? We've got the keys! ~ KēSTA ...

Procter & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

Are you passionate about working at the cutting edge of interdisciplinary boundaries, where ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Booz Allen Hamilton

Data Scientist

Charlottesville, VA

$77K - $176K/yr

As a Data Scientist at Booz Allen, you can help turn these complex data sets into useful ... The world can't wait. You Have: * Experience with data exploration, data cleaning, data analysis ...

Fintrx

Data Scientist

Boston, MA · On-site

About the role We're seeking an entry level Data Scientist to help support and drive FINTRX's rapidly growing Data, Research and Product organization. In this role you will compile, analyze, and ...

Peraton

Data Scientist

Herndon, VA

$112K - $179K/yr

Peraton operates at the critical nexus between traditional and nontraditional threats across all ... Each day, our employees do the can't be done by solving the most daunting challenges facing our ...

Peraton

Data Scientist

Herndon, VA · On-site

$112K - $179K/yr

Peraton operates at the critical nexus between traditional and nontraditional threats across all ... Each day, our employees do the can't be done by solving the most daunting challenges facing our ...

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Entry Level At T Data Scientist information

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$46K

$165K

$243.5K

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

As of Jun 9, 2026, the average yearly pay for entry level at&t data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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

AspectEntry Level At&T Data ScientistEntry Level Data Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; knowledge of programming languages like Python or RBachelor's in similar fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCorporate setting within telecommunications; focus on advanced analytics and modelingBusiness or marketing teams; focus on data reporting and basic analysis
Employer & Industry UsageUsed by AT&T and similar telecom companies for data-driven decision makingCommon across various industries for operational insights and reporting

Entry Level At&T Data Scientists focus on developing predictive models and advanced analytics, requiring programming skills and statistical knowledge. Entry Level Data Analysts primarily handle data reporting and visualization, with less emphasis on complex modeling. Both roles are essential but differ in technical depth and project scope.

More about Entry Level At T Data Scientist jobs
What cities are hiring for Entry Level At&T Data Scientist jobs? Cities with the most Entry Level 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 job categories do people searching Entry Level At&T Data Scientist jobs look for? The top searched job categories for Entry Level At&T Data Scientist jobs are:
Entry Level At T Data Scientist jobs near you
Infographic showing various Entry Level At&T Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 4% As Needed, 6% Full Time, 88% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
AI Data Scientist

AI Data Scientist

T Rowe Price

Manhattan, NY • Hybrid

Other

Posted 9 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 This Position

Are you a collaborative problem solver who thrives on asking insightful questions and working across disciplines? At T. Rowe Price, our Data Scientists develop the analytics and AI solutions that drive 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 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 enjoy hands-on work and tackling challenging problems with technology, we want to connect with you.

Role Summary

This is a hands-on role covering the entire data science workflow, from discovery through production deployment. You'll creatively apply modern AI and data science techniques on Databricks, working closely with business partners. As part of T. Rowe Labs, you'll help build our next-generation data and AI platform, delivering on-demand, ML-powered insights across the firm.

Responsibilities

  • Engage in all phases of the data science lifecycle: problem framing, exploratory data analysis, feature engineering, modeling, evaluation, deployment, and monitoring, with guidance from senior team members.
  • Develop robust Python notebooks, jobs, and pipelines (using pandas, scikit-learn, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows).
  • Implement testing and quality checks, including unit tests, data validation, and drift/bias monitoring; maintain reproducible experiments and clear documentation.
  • Participate in code and design reviews, use git and CI/CD, and manage technical debt.
  • Clarify requirements, propose iterative solutions, and communicate findings to both technical and non-technical stakeholders.
  • Collaborate with platform and governance teams to ensure security, lineage, and auditability.

Qualifications

Required:

  • BS/MS in a quantitative field or equivalent experience; 2+ years in data science or machine learning.
  • Solid understanding of experimental design, model validation, metrics, and foundational MLOps concepts.
  • Strong collaboration and communication skills, with a question-first approach; comfortable partnering directly with business stakeholders.
  • Familiarity with AWS basics and git/CI workflows.

Preferred:

  • Experience with AI/Generative AI (LLMs, RAG, prompt engineering/evaluation).
  • Advanced Python skills for data science (pandas, scikit-learn); experience with PySpark.
  • Hands-on experience with Databricks (Delta Lake, MLflow, Jobs/Workflows) or equivalent Spark platforms, with a desire to expand expertise.
  • Knowledge of time-series analysis or NLP; experience with BI/analytics tools (Databricks SQL, Tableau/Power BI, dbt).
  • Familiarity with financial markets and instruments.

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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