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Internship At&T Data Scientist Jobs (NOW HIRING)

Northeastern University is seeking a Data Scientist for a full-time, one-year term appointment at ... internships, co-ops, academic research, or applied capstone projects is acceptable. • Solid ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

... ownership at different fleet levels. • Assist in the rationalization and optimization of ... Preferred : • Prior internship or project experience involving industrial IoT sensor data and ...

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to ... t seen yet. * Develop deep context on your product domain and use it to ask sharper questions ...

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

Data Scientist

Doral, FL · On-site

$112K - $257K/yr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ... Join us. The world can't wait. You Have: * Experience leading AI / ML analytics programs

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

... relevant internship experience, or equivalent hands-on industry experience may be considered in lieu of traditional qualifications. * At least 2 years of experience in data science or related ...

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to ... including internships working with complex datasets, including curation, querying, aggregation ...

Data Scientist

Saint Paul, MN · On-site

$106 - $127/hr

... relevant internship experience, or equivalent hands-on industry experience may be considered in lieu of traditional qualifications. * At least 2 years of experience in data science or related ...

New

DATA SCIENTIST Location: Columbus, OH (Onsite) * Data Science - 7+ yrs * SAS - 5+ * Python -5+ * ... Experience using SQL; preferably Postgres SQL and T-SQL * 3 years leading agile project delivery ...

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Data Scientist

Orlando, FL · On-site

$107K/yr

... at the cutting edge of decision science. Key Responsibilities Advanced Analytical Modeling (45 ... Technical Leadership & Mentorship (10%) • Lead and manage a pipeline of talent, including interns ...

Data Scientist

San Francisco, CA · On-site

$120 - $220/hr

... at 3am reformatting a deck. That doesn\'t exist here. The only work that gets done here is work ... The Data Science & Analytics team is 14 insatiable learners who care deeply about solving difficult ...

We know what the world is watching, reading, and thinking about - in real time, at scale, across ... Familiarity with the measurement * t vendor landscape (Nielsen, Comscore, VideoAmp, iSpot) and ...

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set ... The world can't wait. You Have: * 6+ years of experience with data science, statistical analysis ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Data Scientist

Atlanta, GA · Remote

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Showing results 41-60

Internship At T Data Scientist information

See salary details

$46K

$165K

$243.5K

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

As of Aug 10, 2026, the average yearly pay for internship 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.

Does AT&T offer internships?

Yes, AT&T offers internships for students and recent graduates in various fields, including data science. These internships typically provide hands-on experience, mentorship, and opportunities to develop industry-specific skills using tools like Python and SQL. Internships are usually available during summer and fall sessions and require applying through AT&T's careers website.

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

AspectInternship At&T Data ScientistData Analyst
Required CredentialsTypically pursuing or holding a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related fields
Work EnvironmentInternship setting within corporate teams, focusing on data modeling and machine learningAnalytical roles in business units, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech and telecom companies like AT&T for data-driven projectsCommon across various industries for business insights and decision-making

Internship At&T Data Scientist roles focus on developing machine learning models and advanced analytics, often requiring programming skills and familiarity with data science tools. Data Analyst positions emphasize data interpretation, reporting, and visualization. Both roles are valuable for building a career in data, but they differ in technical depth and project scope.

How to get an internship as a data scientist?

To secure a data scientist internship, candidates should develop strong skills in programming languages like Python or R, gain experience with data analysis and machine learning, and build a portfolio of relevant projects. Applying through company career portals, leveraging university connections, and obtaining relevant certifications such as those in data science or analytics can improve chances. Internships often require a background in a related field like computer science, statistics, or mathematics.
More about Internship At T Data Scientist jobs
What cities are hiring for Internship At&T Data Scientist jobs? Cities with the most Internship 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 Internship At&T Data Scientist jobs? States with the most job openings for Internship At&T Data Scientist jobs include:
Infographic showing various Internship At&T Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Full-time

Re-posted 16 days ago


Job description

Job Summary:
Northeastern University is seeking a Data Scientist for a full-time, one-year term appointment at their Roux Institute in Portland, Maine. The role focuses on supporting the development and delivery of AI and data science solutions, involving data analysis, feature engineering, model development, and collaboration with senior professionals in the field.
Responsibilities:
• Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
• Train, evaluate, and compare machine learning models under supervision.
• Assist with model validation, performance monitoring, and documentation.
• Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
• Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
• Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
• Willingness to participate in client meetings in a supporting role.
Qualifications:
Required:
• Master’s degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field.
• 0–2 years of industry, research, or applied project experience in data science or machine learning.
• Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable.
• Solid understanding of statistical methods, regression, hypothesis testing, and basic experimental design.
• Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting.
• Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural networks or transformers); deep specialization is not required.
• Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
• Working knowledge of SQL and relational databases.
• Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace).
• Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
• Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
• Willingness to participate in client meetings in a supporting role.
• Awareness of ethical AI principles including fairness, transparency, and responsible model use.
• Willingness to follow established governance, documentation, and review practices.
• Strong curiosity and motivation to learn new tools, techniques, and AI methods.
• Openness to feedback and mentorship.
• Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
• Proactive attitude and willingness to take increasing responsibility over time.
Preferred:
• Industry experience is preferred.
• Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Understanding of software development best practices such as version control (Git) and Agile workflows.
Company:
Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery. Founded in 1898, the company is headquartered in Boston, USA, with a team of 5001-10000 employees. The company is currently Late Stage.