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

KēSTA I.T. is actively seeking multiple Senior Data Scientists for an immediate permanent need ... Ability to program in at least one general-purpose language such as C# or Java * Demonstrated ...

Data Scientist

Reston, 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 ...

Data Scientist

Reston, 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 ...

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 ...

This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026*** What does it mean to be a Data Scientist at GLS? GLS relies heavily on Data ...

This role sits at the intersection of data science, energy systems, and critical infrastructure resilience, helping transform complex, multi-source data into actionable insights for resilience ...

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Join us. The world can't wait. You Have: * 2+ years of experience with data exploration, data ...

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Entry Level At T Data Scientist information

See salary details

$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:
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.
Junior Data scientist/Python Programmer - Remote

Junior Data scientist/Python Programmer - Remote

SynergisticIT

Los Angeles, CA

Full-time

Posted 21 days ago


Job description

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! If your Applications are Going Nowhere Try a Placement‐Focused Path Graduating with a CS degree is impressive — but it's not enough anymore.

Employers want hands‐on experience, real projects, and interview‐ready candidates. Getting hired in tech isn't just about knowing how to code — it's about proving you can deliver value from day one. Despite layoffs and market shifts, the tech industry still needs skilled developers.

The challenge is proving you're ready to contribute. A CS degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‐world scenarios. If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.

A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That's why many new grads send hundreds of applications and still hear nothing back. It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.

We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.

SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications. Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.

If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.

The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned).

Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.

If you're tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Client JOPP: Job Placement Program Contact & get a roadmap:https://www.synergisticit.com/contact-us/ Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career?

Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you. In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.

Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume