ZipRecruiter

Log In

2

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

Guardianlife

Lead AI Engineer

Bethlehem, PA · On-site +1

$118K - $195K/yr

Experience working with remote teams in a matrixed environment * Mentor junior team members and ... Collaborate with software engineers, data scientists, and DevOps teams to design and implement ...

ATS Automation Tooling Systems Inc

IT Manager

Souderton, PA · On-site +1

$95K - $117K/yr

... life sciences, transportation, food & beverage, consumer products, and energy. With a dynamic ... Collaborate with Legal and Finance teams to ensure compliance with data privacy laws (e.g., GDPR ...

Ocean Spray

Environmental Engineer

Breinigsville, PA · On-site +1

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Strong analytical, problem-solving, and data interpretation skills * Project management skills with ...

Oishii

Senior Software Engineer, Robotics

Phillipsburg, NJ · On-site +1

$140K - $160K/yr

Bachelor's or Master's degree in Computer Science or a related technical field. * 6+ years of ... While remote candidates will be considered, we strongly prefer individuals who are willing to ...

next page

Showing results 1-20

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Bethlehem, PA

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 Bethlehem, PA? The most popular types of Data Science jobs in Bethlehem, PA are:
What are popular job titles related to Remote Data Science jobs in Bethlehem, PA? For Remote Data Science jobs in Bethlehem, PA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Bethlehem, PA look for? The top searched job categories for Remote Data Science jobs in Bethlehem, PA are:
What cities near Bethlehem, PA are hiring for Remote Data Science jobs? Cities near Bethlehem, PA with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Bethlehem, PA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.
Associate Distinguished Engineer - Enterprise Data Architect

Associate Distinguished Engineer - Enterprise Data Architect

Nagarro

Allentown, PA • On-site, Remote

Full-time

Posted 29 days ago

Nagarro rating

6.6

Company rating: 6.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

170th of 230 rated it services

Job description

Company Description
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale - across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description
  • Strategic Data Leadership: Develop and implement a comprehensive data management and analytics strategy that aligns with the organization's goals and delivers real-world impact
  • Data Governance: Oversee data modeling, master data management, data governance policies and procedures to ensure data integrity, quality, and security, planning for data backup, disaster recovery, and business continuity.
  • Data Lifecycle Management: Manage the full spectrum of data lifecycle activities, ensuring optimal data quality, storage, and utilization aligned with strategic goals.
  • Data Architecture: Oversee design and refine the organizational data framework, ensuring robust, scalable, and efficient data structures and integrations in AWS
  • Compliance and Risk Management: Ensure compliance with relevant data protection regulations and assess data-related risks.
  • Technology and Vendor Management: Evaluate and implement data management and analytics tools and technologies to optimize data processing and analysis. Manage relationships, engagements, contracts, and agreements with external vendors that provide technology solutions.
  • Collaboration: Work closely with various departments to understand their data needs and ensure that the data strategy supports these requirements, serving as the key liaison of the data function to the broader organization
  • Change Management: Lead and facilitate the implementation of data-related changes, ensuring smooth transitions and alignment with organizational goals.

Qualifications
  • A minimum of 10 years of experience in data management and analytics, with at least 5 years in a leadership role.
  • Relevant experience in creating and executing enterprise data strategy in AWS
  • Transforming business goals into data infrastructure
  • Experience in Data governance, Data modeling, Data security, Data strategy, MDM - AWS, Denodo
  • Experience in Industrial IoT and relevant Data Science use cases.
  • Knowledge in Manufacturing domain and good to have lighting or similar domain or IOT related use case knowledge.

Additional Information
Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status.

What Nagarro employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply