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Data Science Jobs in Indiana, PA (NOW HIRING)

Vector8 Group

Technical Lead, Data & AI, CH

Indiana, PA · On-site

$120 - $160/hr

Bachelor's or Master's degree in Computer Science, Mathematics, Physics or a related field. Job ... Data & AI Solutions: Navigate Complex Systems & Regulated Environments * Work across intricate ...

Neshent Technologies

Feature Engineer

Robinson, PA · On-site

Collaborate with Data Scientists and ML Engineers to develop features aligned with business and ML use cases. * Contribute to feature store architecture, standards, and best practices. * Implement ...

Lifepoint Health

Clinical Lab Scientist

Johnstown, PA · On-site

Collects and evaluates data for QA issues. * Recognizes, confirms and/or verifies test results that ... Possess bachelor's degree in medical technology or chemical, physical, or biological science and ...

Lifepoint Health

Clinical Lab Scientist

Johnstown, PA · On-site

Collects and evaluates data for QA issues. * Recognizes, confirms and/or verifies test results that ... Possess bachelor's degree in medical technology or chemical, physical, or biological science and ...

Lifepoint Health

Clinical Lab Scientist

Johnstown, PA · On-site

Collects and evaluates data for QA issues. * Recognizes, confirms and/or verifies test results that ... Possess bachelor's degree in medical technology or chemical, physical, or biological science and ...

Lifepoint Health

Clinical Lab Scientist

Johnstown, PA · On-site

Collects and evaluates data for QA issues. * Recognizes, confirms and/or verifies test results that ... Possess bachelor's degree in medical technology or chemical, physical, or biological science and ...

Lifepoint Health

Clinical Lab Scientist

Johnstown, PA · On-site

Collects and evaluates data for QA issues. * Recognizes, confirms and/or verifies test results that ... Possess bachelor's degree in medical technology or chemical, physical, or biological science and ...

Lifepoint Health

Clinical Lab Scientist

Johnstown, PA · On-site

Collects and evaluates data for QA issues. * Recognizes, confirms and/or verifies test results that ... Possess bachelor's degree in medical technology or chemical, physical, or biological science and ...

Danaher

Digital Analyst Internships

Indiana, PA · On-site

$90K - $106K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

The Biopôle

Senior Software Engineer

Indiana, PA · On-site

$100 - $130/hr

Master's or Bachelor's degree in Computer Science, Electronics, Electrical Engineering, or related discipline. * 10+ years of software engineering experience, including data engineering or ...

Danaher

R&D Internships

Indiana, PA · On-site

Supporting immunoassay development teams with experimental setup, data collection, and documentation * Conducting laboratory studies to evaluate assay performance under guidance from scientific staff

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All JobsData Science JobsData Science Jobs in Indiana, PA

Data Science information

See Indiana, PA salary details

$34.3K

$112.2K

$179.6K

How much do data science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science in Indiana, PA is $112,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $124,300.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

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

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

What are popular job titles related to Data Science jobs in Indiana, PA?

For Data Science jobs in Indiana, PA, the most frequently searched job titles are:

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

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

What cities near Indiana, PA are hiring for Data Science jobs?

Cities near Indiana, PA with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Indiana, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 61% In-person, and 39% Remote job distribution, with an average salary of $112,176 per year, or $53.9 per hour.

Technical Lead, Data & AI, CH

Vector8 Group

Indiana, PA • On-site

$120 - $160/hr

Other

PTO

This job post has expired today. Applications are no longer accepted.

Job description

The Technical Lead is a central, deeply hands‑on role at vector8. You will write code, build solutions, and directly drive the delivery of enterprise‑grade data and AI systems—while providing the technical direction and mentorship that helps the team around you excel.

This is not a primarily hands‑off, high‑level management position: you are expected to be in the codebase every day, solving hard problems, unblocking teammates, and setting the bar for engineering quality. You bring strong hands‑on engineering skills across data and AI, combined with the breadth to make sound technical decisions, navigate complex system landscapes, and ensure everything delivered is secure, performant, and compliant.

Job Requirements
  • Extensive and demonstrable experience in ML & data engineering & AI solution architectures.
  • Strong hands‑on engineering skills—comfortable coding in Python, SQL, or similar languages and working with modern data/AI toolchains.
  • Experience with AWS, Azure, or GCP data/AI services; multi‑cloud familiarity is a strong plus.
  • Knowledge of data governance, responsible AI, security frameworks, and operational controls, ideally coupled with experience in highly regulated industries with strict requirements for security, privacy, compliance, and data governance.
  • Excellent stakeholder management and communication skills, able to influence both executives and engineering teams.
  • Ability to convert complex challenges into clear architectural decisions and actionable delivery plans.
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics or a related field.
Job Responsibilities
  • Contribute directly to solution development, validating technical approaches when needed.
  • Support teams during complex engineering tasks, unblock challenges, and ensure the final solution aligns with the architecture.
  • Hands‑on delivery is the primary mode—you lead from the front, writing code and solving problems directly alongside the team.
Hands‑on Contributor
  • Contribute directly to solution development, validating technical approaches when needed.
  • Support teams during complex engineering tasks, unblock challenges, and ensure the final solution aligns with the architecture.
  • Hands‑on delivery is the primary mode—you lead from the front, writing code and solving problems directly alongside the team.
Drive Technical Delivery & Team Leadership
  • Lead cross‑functional delivery teams of data engineers, ML engineers, MLOps specialists, and software developers.
  • Define technical workstreams, review code and designs, and ensure architectural coherence throughout the implementation.
  • Provide coaching, mentoring, and thought leadership to elevate engineering quality and delivery excellence.
Data & AI Solutions: Navigate Complex Systems & Regulated Environments
  • Work across intricate enterprise ecosystems with heterogeneous applications, distributed data sources, and legacy components.
  • Identify modernization paths and integration patterns that respect operational realities and long‑standing constraints.
  • Embed data protection, cybersecurity controls, governance, and compliance in solution design.
Enable AI at Scale
  • Design architectures that support AI development, deployment, monitoring, governance, and lifecycle management.
  • Build reusable architectural patterns and components that accelerate scaling AI beyond single use‑cases.
Shape Client Relationships & Growth
  • Build trusted relationships with CDOs, CIOs, Chief Architects, engineering leads, and business stakeholders.
  • Contribute technical expertise to proposals and RfPs.
  • Identify opportunities to expand AI and data platform capabilities across the organization.
Benefits
  • A role at the forefront of AI transformation for leading Swiss enterprises in financial services, insurance, and beyond.
  • Work with cutting‑edge AI technologies and innovative solutions that create real, measurable business value.
  • A dynamic, entrepreneurial work environment where your contributions directly drive company growth.
  • Supportive team culture that prioritises continuous learning, professional development, and personal growth.
  • A leadership ethos focused on empowering people, fostering collaboration, excellence, authenticity, and diversity.
  • Competitive salary package, 25 days of vacation, development budget, and a flat hierarchy.
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