ZipRecruiter

Log In

2

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

Lincoln Financial

Sr. Data Scientist

Radnor, PA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. * Grade level: final grade level for this position will be determined based on the selected candidate ...

Lincoln Financial

Sr. Data Scientist

Radnor, PA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. * Grade level: final grade level for this position will be determined based on the selected candidate ...

Jj

Senior Director, Immunology Data & AI Systems

Titusville, NJ · On-site +1

$49.50 - $68.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts ... fully remote option available). We are recruiting for a Senior Director, Immunology Data & AI ...

Jj

Senior Director, Immunology Data & AI Systems

Spring House, PA · On-site +1

$47.50 - $65.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts ... fully remote option available). We are recruiting for a Senior Director, Immunology Data & AI ...

IntegriChain

Sr Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

  • Medical

  • PTO

With ICyte, Life Sciences innovators can digitalize their market access operations, freeing up resources to focus on more data-driven decision support. With ICyte, Life Sciences innovators are ...

previous pagenext page

Showing results 21-40

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

Remote Data Science information

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.

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 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.

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.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

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

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

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

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

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

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

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

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

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

GROUP PRODUCT MANAGER, DATA PRODUCTS & ANALYTICS - REMOTE

TE Connectivity

Wayne, PA • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted 21 days ago

TE Connectivity rating

7.6

Company rating: 7.6 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

84th of 159 rated electronics manufacturers

Job description

Job Title: GROUP PRODUCT MANAGER, DATA PRODUCTS & ANALYTICS - REMOTE
Posting Start Date: 7/27/26
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Description:
Job Overview
The Group Product Manager, Data and Analytics leads the Digital COE's Data Products Team and owns the strategy, roadmap, and delivery of TE's enterprise data product portfolio. This role transforms customer, marketing, and digital data into scalable products that improve decision-making, customer experiences, and TE's digital ecosystem.
Reporting to the Director, Digital & Data Product Management & UX, this leader manages a multidisciplinary team of data analysts, data engineers, and data scientists. The role partners closely with Product Management, UX, Marketing, business units, enterprise IT, and data platform teams to deliver trusted, actionable data products.
The portfolio includes WAVE, TE's enterprise Customer Intelligence platform, as well as customer data capabilities, digital and marketing analytics, customer experience measurement, and future capabilities such as Customer Data Platforms, Customer 360, AI-powered insights, and personalization.
The ideal candidate combines strong product and people leadership with hands-on technical experience in analytics, data engineering, or data science and a proven ability to translate business strategy into measurable enterprise data products.
Key Responsibilities
Product Strategy and Portfolio Leadership
  • Define and own the vision, strategy, and multi-year roadmap for TE's enterprise data product portfolio
  • Lead discovery with business units, Marketing, Sales, digital teams, and enterprise stakeholders to identify high-value opportunities
  • Prioritize investments based on customer value, business outcomes, technical feasibility, and strategic alignment
  • Simplify and consolidate existing products where possible before investing in new capabilities

Product Delivery and Technical Leadership
  • Lead and develop a multidisciplinary team of data analysts, data engineers, and data scientists
  • Set priorities and allocate resources across multiple products and initiatives to maximize business value
  • Partner with the team to define requirements, evaluate analytical approaches, review solution designs, and guide decisions involving data pipelines, models, cloud platforms, analytics, and AI
  • Apply hands-on knowledge of SQL, Python, analytics, and data science concepts to support high-quality delivery

Enterprise Data and Platform Strategy
  • Partner with enterprise IT and platform teams to shape scalable architecture, governance, integration, and data quality strategies
  • Represent customer, marketing, and digital priorities within broader enterprise data investments
  • Drive strategy for capabilities such as CDPs, Customer 360, advanced analytics, AI-powered insights, and personalization
  • Identify emerging technologies that can improve customer experiences, marketing effectiveness, and business decision-making
  • Promote consistent product management practices across TE's growing data ecosystem

Stakeholder and People Leadership
  • Build trusted relationships with senior business unit, segment, Marketing, digital, Product Management, UX, and IT leaders
  • Translate complex technical topics into clear recommendations, priorities, and product strategies for executive audiences
  • Embed data-driven decision-making into TE's digital products and customer experiences
  • Enable trusted measurement of customer satisfaction, digital engagement, marketing effectiveness, and business performance
  • Coach and develop a high-performing team, establishing clear priorities, performance expectations, and development plans

What your background should look like:
  • 10+ years of experience in product management, data products, analytics, data platforms, or a related technical product leadership role
  • 3+ years of experience leading technical teams that include data analysts, data engineers, data scientists, or similar roles
  • Proven experience defining and delivering enterprise data or analytics product strategies and roadmaps
  • Strong technical foundation in analytics, data engineering, or data science, including professional experience using SQL and Python
  • Experience partnering with engineers and data scientists to deliver scalable data products
  • Ability to participate deeply in architecture and design discussions while balancing customer needs, business priorities, and technical feasibility
  • Experience with cloud data platforms such as Databricks, Snowflake, BigQuery, or similar technologies
  • Demonstrated success leading cross-functional work and influencing stakeholders in complex, matrixed organizations
  • Strong executive communication, stakeholder management, prioritization, and business-case development skills

Competencies
Managing and Measuring Work
Motivating Others
Building Effective Teams
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
SET : Strategy, Execution, Talent (for managers)
COMPENSATION
• Competitive base salary commensurate with experience: $163,800 - $204,700 (subject to change dependent on physical location)
• Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
• Total Compensation = Base Salary + Incentive(s) + Benefits
BENEFITS
• A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.
EOE, Including Disability/Vets
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
Job Locations:
680 E. Swedesford Road
Suite 100 and 200
Wayne, Pennsylvania 19087
United States
Posting City: Wayne
Job Country: United States
Travel Required: 10% to 25%
Requisition ID: 155916
Workplace Type: Remote
External Careers Page: Sales & Marketing

What TE Connectivity employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply