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Remote Data Science Jobs in Indiana, PA (NOW HIRING)

Deckers

Sr. Manager, Data & ML Engineering

Indiana, PA · Remote

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Engineering, or related technical field;

Archgroup

Manager, Data Engineer (Remote)

Home, PA · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

Archgroup

Manager, Data Engineer (Remote)

Home, PA · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

First Quality Retail Services

Data Engineer

Home, PA · On-site +1

$102K - $122K/yr

Collaborate with business stakeholders, data engineers, and data scientists to understand data requirements and design scalable and flexible data models. * Develop data ingestion pipelines and ...

Deckers

Director, Data Architecture

Indiana, PA · Remote

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

Deckers

Data Architecture Lead

Indiana, PA · Remote

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

Motorola

PremierOne Remote System Admin

Indiana, PA · Remote

$80K - $90K/yr

... Data Computing, among other offerings. VSS is a fast-paced environment that seeks motivated and ... Computer Science, Networking, Engineering, System Maintenance experience (public safety system ...

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Remote Data Science information

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
More about Remote 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 job categories do people searching Remote Data Science jobs in Indiana, PA look for? The top searched job categories for Remote Data Science jobs in Indiana, PA are:
What cities near Indiana, PA are hiring for Remote Data Science jobs? Cities near Indiana, PA with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Indiana, PA as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Science Engineer/Specialist (Remote)

Senior Data Science Engineer/Specialist (Remote)

Concurrent Technologies Corporation

Johnstown, PA • Remote

$108K - $147K/yr

Full-time

Posted 27 days ago

Job description

Senior Data Science Engineer/Specialist

Concurrent Technologies Corporation

Remote

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Secret

Employee Background Check Required


CTC Engineering and Manufacturing: Where Cutting-Edge Innovation Meets Mission-Critical Solutions


The CTC Engineering Division specializes in transforming cutting-edge technologies into real-world solutions. We harness the power of 3D printing, advanced joining techniques like friction stir welding, and cutting-edge design tools to tackle complex challenges for a diverse set of clients.

As a Senior Data Science Engineer/Specialist, you will serve as a technical leader, applying advanced data science and mathematical techniques to solve complex and mission-critical challenges for Department of Defense (DoD) clients. You will lead projects, mentor junior staff, and drive the development of innovative solutions that enhance decision-making and operational efficiency. This role requires a high degree of technical expertise, strategic thinking, and the ability to work independently while managing multiple priorities.

Key Responsibilities:

Technical Leadership and Project Management:

  • Lead the planning, execution, and delivery of complex data science and mathematics projects, ensuring alignment with client objectives and timelines.
  • Provide technical leadership and mentorship to junior and mid-level team members, fostering their professional growth.
  • Collaborate with stakeholders to define project requirements, scope, and deliverables.
  • Identify risks, develop mitigation strategies, and ensure the successful completion of projects.

Advanced Data Analysis and Modeling:

  • Design and implement advanced statistical, predictive, and machine learning models to address complex client challenges.
  • Perform sophisticated exploratory data analysis (EDA) to identify actionable insights and inform decision-making.
  • Develop and refine mathematical models for simulation, optimization, and forecasting tasks.

Algorithm Development and Innovation:

  • Lead the design, development, and optimization of algorithms for data processing, analysis, and modeling.
  • Validate and deploy algorithms in operational environments, ensuring scalability and reliability.
  • Drive innovation by researching and applying cutting-edge techniques in data science, artificial intelligence, and mathematics.

Tool and Technology Utilization:

  • Utilize advanced programming skills in Python, R, MATLAB, or similar languages to develop custom solutions.
  • Leverage data visualization tools (e.g., Tableau, Power BI, matplotlib) to create compelling and actionable insights.
  • Integrate data science workflows into enterprise systems and processes to enhance operational efficiency.

Collaboration and Communication:

  • Serve as a primary point of contact for clients, providing regular updates and ensuring satisfaction with deliverables.
  • Prepare and deliver high-quality technical reports, presentations, and documentation for diverse audiences, including senior leadership.
  • Facilitate cross-functional collaboration with multidisciplinary teams to achieve project goals.

Research and Development:

  • Lead research initiatives to explore emerging data science techniques, tools, and technologies.
  • Develop innovative methodologies and frameworks to address evolving client needs.
  • Publish findings and contribute to the broader data science and mathematics community.

Support for DoD Projects:

  • Provide expert analysis and recommendations to support DoD mission objectives and strategic decision-making.
  • Develop and implement advanced tools, processes, and methodologies to improve operational capabilities for DoD clients.
  • Ensure all deliverables comply with DoD standards, policies, and security requirements.

Concurrent Technologies Corporation (CTC) is preparing to stand up a dedicated team to manage a new, high-priority initiative for the U.S. Navy. This is a unique opportunity to help revitalize and strengthen a critical national security industrial base. As the manager of a large portfolio of innovative projects under a flexible contracting vehicle, CTC will be at the center of this mission. Our role will be to connect cutting-edge solutions from across industry and academia to the Navy's most pressing challenges, accelerating technology adoption and ensuring our nation's defense industrial base has the capacity and capability for decades to come. This is a fast-paced, dynamic program where you will play a foundational role in its success. We are seeking talented professionals to join us in this exciting and impactful work.

As a Senior Data Science Engineer, you will transform vast streams of project data into actionable intelligence and strategic insights for government leadership. You will develop the dashboards, analytics, and reports that provide radical transparency into the performance and impact of this national security program.

Required Qualifications:

  • Bachelor's degree in Data Science, Mathematics, Computer Science, Engineering, or a related field.
  • 4+ years of relevant experience in data science, mathematics, or related fields.
  • Advanced proficiency in programming languages such as Python, R, MATLAB, or similar.
  • Strong expertise in statistical methods, machine learning techniques, and mathematical modeling.
  • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib) and data engineering concepts.
  • Proven ability to lead projects, manage teams, and deliver high-quality results.
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Strong written and verbal communication skills, with experience presenting to technical and non-technical audiences.

Preferred Qualifications:

  • Master's or Ph.D. in Data Science, Mathematics, Computer Science, Engineering, or a related field.
  • Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Advanced knowledge of database systems (e.g., SQL, NoSQL) and cloud computing platforms (e.g., AWS, Azure, Google Cloud).
  • Experience working in DoD or government contracting environments, with a strong understanding of DoD standards and policies.
  • Demonstrated ability to develop and implement innovative solutions to complex technical challenges.
  • Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.

Work Environment/Conditions:

  • Determined by management if applicable.

Why CTC?

  • Mastering the future of manufacturing: Be at the forefront of technological advancements in advanced manufacturing.
  • Innovate for impact: Your work will push the boundaries of what's possible, from next-generation armaments to groundbreaking environmental solutions that directly impact critical missions and the lives of those protecting our country.
  • Work alongside the best: Collaborate with a passionate team of engineers and scientists, united by a shared drive to excel and a commitment to delivering outstanding results.
  • Leave your mark: CTC is more than just a job. It's a launchpad for your engineering dreams.
  • Competitive salary and benefits package.
  • Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life.
  • Visit www.ctc.com to learn more.

Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work.

https://concurrent-technologies-corporation.breezy.hr/

Staffing Requisition: SR# 2026-0076

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.