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Data Jobs in Scranton, PA (NOW HIRING)

Senior Data Scientist

Dallas, PA · On-site

$60K - $135K/yr

Senior Data Scientist City: Dallas State/Province: Texas Posting Start Date: 8/10/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused ...

Data Entry Clerk II

Scranton, PA · On-site

$16.75 - $22.50/hr

Performs data entry processes into a database * Performs assigned tasks and projects * Processes special and recurring reports and administrative records * Verifies and corrects information, codes ...

Data Entry Clerk II

Scranton, PA · On-site

$16.75 - $22.50/hr

Performs data entry processes into a database * Performs assigned tasks and projects * Processes special and recurring reports and administrative records * Verifies and corrects information, codes ...

Salesforce Data cloud Developer City: Dallas State/Province: Texas Posting Start Date: 8/26/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting ...

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Data information

See Scranton, PA salary details

$45.5K

$163.3K

$241K

How much do data jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data in Scranton, PA is $163,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,200.00 and $168,300.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

What are the most commonly searched types of Data jobs in Scranton, PA?

The most popular types of Data jobs in Scranton, PA are:

What job categories do people searching Data jobs in Scranton, PA look for?

The top searched job categories for Data jobs in Scranton, PA are:

What cities near Scranton, PA are hiring for Data jobs?

Cities near Scranton, PA with the most Data job openings:

Infographic showing various Data job openings in Scranton, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $163,350 per year, or $78.5 per hour.

$98K - $182K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Lockheed Martin rating

8.1

Company rating: 8.1 out of 10

Based on 396 frontline employees who took The Breakroom Quiz

41st of 72 rated aerospace companies


Job description

Standard Job Description You will be the Data Scientist Sr for the FORCE Operations Data/AI team. Our team is responsible for providing MFC-wide support. What You Will Be Doing As the Data Scientist Sr you will be responsible for turning stakeholder AI and data needs into actionable models, guiding projects from prototype through production, and maintaining existing data products.

Your responsibilities will include, but are not limited to: Apply AI and datascience techniques to support manufacturingoperations programs. Identify and execute opportunities to integrate AI capabilities into existing FORCE products. Develop and lead the team's AI strategy and partner with stakeholders to define business problems.

Develop prototypes and advance them to productionready products. Maintain and enhance the legacy FORCE product suite. Why Join Us We seek a collaborative, forwardthinking professional who thrives on turning complex data challenges into impactful solutions.

This role offers the chance to shape AI capabilities across Lockheed Martin, work with cuttingedge technologies, and make a tangible impact on missioncritical operations. We are committed to supporting your worklife balance and overall wellbeing, offering flexible scheduling options. Learn more about Lockheed Martin's comprehensive benefits package here Further Information About This Opportunity This position is located in multiple locations.

[Discover more about Lockheed Martin Missiles and Fire Control.](a href= https://www.lockheedmartin.com/en-us/who-we-are/business-areas/missiles-and-fire-control.html?utm_campaign=mfc&utm_term=rm&utm_source=MFC-JobDescriptions-MFC-Business-page-2025&utm_medium=website) MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. Basic Qualifications Completed Bachelors degree from an accredited college in Engineering, Computer Science, AI/Data Science/Analytics, or other Engineering discipline

Experience with structured and unstructured data for descriptive/diagnostic, predictive, and prescriptive analytical needs Working level experience in SQL Proficiency in Python and related libraries (e.g. NumPy, Pandas) Desired Skills Knowledge of MLOps pipeline and modern machine learning techniques Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD] Familiarity interfacing with databases (SQL, MongoDB, etc.) Experience with Computer Vision and other Deep Learning techniques Experience with C++, Java, GO, and other compiled languages Experience with TensorFlow, PyTorch, Keras, or Scikit-learn Experience with AWS or another cloud computing platform Expertise navigating, developing, and working with EDW SAP HANA database Extensive working knowledge developing in Tableau - data models, visualizations, maintenance Experience with/in one or more of the Operations related business functions such as Prod Ops, Quality, PP&C, GSC, Engineering Strong experience in MFC ERP systems (SAP, Apriso, etc) Experience with or knowledge of data engineering and associated best practices, and software/data security considerations Pay Information Full-Time Salary Range: $98100.00 - $182100.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally

The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.

Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics

For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.


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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912