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Temporary At&T Data Scientist Jobs in Rochester, NY

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and ... You will work at the intersection of advanced analytics, machine learning, and business problem ...

New

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and ... You will work at the intersection of advanced analytics, machine learning, and business problem ...

New

Data Science Tutor

Rochester, NY · Remote

$18 - $40/hr

Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization ...

Data Engineer

Rochester, NY · On-site

$110K - $140K/yr

Work as a "force multiplier" within our cross-functional teams, partnering with data science ... We won't ask you to do anything we're not willing to do ourselves. * Flat Organization, Real Impact:

At IDEX Health & Science, you will have the opportunity to work with a great group of people ... Building data models and creating processes for monthly, quarterly, and annual financial reporting ...

Data Architect

Rochester, NY · On-site

$63.25 - $81.50/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to ... Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ ...

Terracon's vision of "Together, we are best at people" is demonstrated through our excellent ... Tabulate and prepare data for written reports. * May assist with report preparation by summarizing ...

Assistant Scientist

Rochester, NY · On-site

$22.25 - $26.75/hr

Tabulate and prepare data for written reports. * May assist with report preparation by summarizing ... Terracon's vision of "Together, we are best at people" is demonstrated through our excellent ...

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Temporary At T Data Scientist information

See Rochester, NY salary details

$37K

$121.1K

$193.9K

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

As of Aug 15, 2026, the average yearly pay for temporary at&t data scientist in Rochester, NY is $121,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

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

AspectTemporary At&T Data ScientistTemporary Verizon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and programming languages like Python or RBachelor's in Data Analysis, Statistics, or related; proficiency in SQL, Excel, and data visualization tools
Work EnvironmentCorporate office or remote, collaborative teams, project-basedOffice or remote, focused on data reporting and analysis tasks
Employer & Industry UsageTelecommunications, technology, large enterpriseTelecommunications, media, large enterprise

Temporary At&T Data Scientists focus on developing predictive models and advanced analytics, while Verizon Data Analysts primarily handle data reporting and insights. Both roles require strong analytical skills but differ in technical depth and project scope.

Can I get a temporary AT&T data scientist job with no experience?

Temporary data scientist roles at AT&T typically require relevant skills in data analysis, programming, and statistical modeling, often including experience with tools like Python or R. While some entry-level positions may be available, most require prior experience or a strong educational background in data science or related fields.
Infographic showing various Temporary At&T Data Scientist job openings in Rochester, NY as of July 2026, with employment types broken down into 20% Full Time, 20% Part Time, 40% Temporary, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,102 per year, or $58.2 per hour.

Operational Data Scientist

Kiongroup

Henrietta, NY • On-site

Full-time

Posted 3 days ago

New


Job description

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and analytics capability at an exciting time as this is an opportunity to help shape a modern analytics practice within an established enterprise. You will work at the intersection of advanced analytics, machine learning, and business problem-solving, turning complex datasets into actionable insights that directly influence strategy and performance.
You will partner closely with business stakeholders across functions to understand their challenges, design analytical solutions, and communicate findings in ways that drive real outcomes. This is a high-impact, hands-on role suited for someone who is as comfortable building and deploying models as they are presenting insights to non-technical audiences.We offer:

Key Responsibilities

  • Develop, validate, and deploy machine learning and statistical models to support operational decision-making

  • Collaborate with business partners to frame problems, identify data needs, and translate analytical outputs into actionable recommendations

  • Work within a modern cloud-based data platform environment (including Databricks) to access, transform, and analyze data at scale

  • Contribute to the development of repeatable analytical frameworks, pipelines, and best practices as the team matures

  • Ensure data quality and discoverability across the analytics environment

  • Communicate complex findings clearly to both technical peers and non-technical stakeholders

  • Help build a data-driven culture by demonstrating the value of analytics through practical, high-visibility work

Tasks and Qualifications:

Skills & Capabilities

  • Proficiency in Python and/or R, with strong SQL skills for data access and manipulation

  • Demonstrated experience building and deploying ML models (regression, classification, clustering, forecasting)

  • Experience with cloud-based data platforms; familiarity with Databricks or similar tools (e.g., Snowflake, Azure ML) is a plus

  • Comfort working with large-scale distributed data in a cloud environment (Azure, AWS, or GCP)

  • Strong communication skills with the ability to translate analytical work into business impact

  • A self-starter mindset that is comfortable with some ambiguity and energized by the chance to build something meaningful

  • A collaborative, intellectually curious approach with a bias toward practical application over theoretical elegance