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Python Data Scientist Jobs in Philadelphia, PA (NOW HIRING)

Vangard, Inc.

Data Scientist, Specialist

Malvern, PA · On-site

Mentors and develops junior data scientists and analysts. 3. Identifies and diagnoses data ... Expertise in programming with Python, R, or SQL; hands-on experience with machine learning ...

Elsevier

Senior Data Scientist

Philadelphia, PA · On-site

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Extensive Python programming skills and a track record of building maintainable, production-quality ...

Elsevier

Senior Data Scientist

Philadelphia, PA

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Extensive Python programming skills and a track record of building maintainable, production-quality ...

RELX Group plc

Senior Data Scientist

Philadelphia, PA · On-site

Senior Data Scientist AI for Science, Research Intelligence & Knowledge Discovery Build AI That ... Extensive Python programming skills and a track record of building maintainable, production-quality ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Philadelphia, PA

Python Data Scientist information

See Philadelphia, PA salary details

$37.8K

$123.9K

$198.3K

How much do python data scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for python data scientist in Philadelphia, PA is $123,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,200.00 per year, depending on experience, location, and employer.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, due to its extensive libraries such as pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science industry, often complemented by knowledge of SQL and data management skills.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

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

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.
What are popular job titles related to Python Data Scientist jobs in Philadelphia, PA? For Python Data Scientist jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Philadelphia, PA look for? The top searched job categories for Python Data Scientist jobs in Philadelphia, PA are:
Python Data Scientist jobs near you
Data Scientist, Specialist

Data Scientist, Specialist

Vanguard Group, Inc.

Malvern, PA • On-site

Full-time

Re-posted 17 days ago

Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services

Job description

Responsibilities:
  • Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
  • Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.
  • Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
  • Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
  • Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
  • Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
  • Participates in special projects and performs other duties as assigned.
  • Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.
  • Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.
  • Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.

Qualifications:
  • Minimum 5 years of experience in data science, predictive analytics, or advanced statistical modeling roles
  • Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI
  • Bachelor's degree in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master's degree/Diploma in a related quantitative field

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

What Vanguard employees say

Pay

Benefits

Hours and flexibility

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