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

Pepperidge Farm, Incorporated

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

The Data Science Analyst plays a critical role in supporting the Demand Planning function by ... Strong proficiency in Python, R, SQL, GitHub, and IDEs such as PyCharm or VS Code * Solid ...

RELX

Data Scientist III

Philadelphia, PA · On-site +1

$110K - $115K/yr

... Python or R; and with utilization of database, data manipulation, and visualization tools, such as MySQL, Excel, and Tableau. * Employee reports to Elsevier, Inc. office in Philadelphia, PA but may ...

RELX Group plc

Data Scientist III

Philadelphia, PA · On-site

$110K - $115K/yr

... Python or R; and with utilization of database, data manipulation, and visualization tools, such as MySQL, Excel, and Tableau. * Employee reports to Elsevier, Inc. office in Philadelphia, PA but may ...

Cubesmart

Senior Data Scientist

Malvern, PA · Hybrid

The Senior Data Scientist will collaborate closely with cross-functional teams, providing ... Proficiency in programming languages such as Python and SQL, and big data technologies like ...

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 ...

New

Cubesmart

Senior Data Scientist

Malvern, PA · On-site

The Senior Data Scientist will collaborate closely with cross-functional teams, providing ... Proficiency in programming languages such as Python and SQL, and big data technologies like ...

Cadent

Associate Data Scientist

Philadelphia, PA

$56K - $56K/yr

Data Scientists collaborate directly with the Business, Product, Data Engineering, and QA team ... Ability to write clean, expressive code in Python and/or other tools including PySpark, Scala etc.

Cadent

Associate Data Scientist

Philadelphia, PA · On-site

$90K - $110K/yr

Data Scientists collaborate directly with the Business, Product, Data Engineering, and QA team ... Ability to write clean, expressive code in Python and/or other tools including PySpark, Scala etc.

Cadent

Associate Data Scientist

Philadelphia, PA · On-site

$90K - $110K/yr

Data Scientists collaborate directly with the Business, Product, Data Engineering, and QA team ... Ability to write clean, expressive code in Python and/or other tools including PySpark, Scala etc.

Vangard, Inc.

Senior Data Scientist

Malvern, PA · On-site

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

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Showing results 1-20

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 Jun 12, 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.

What does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

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.

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.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

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
Infographic showing various Python Data Scientist job openings in Philadelphia, PA as of June 2026, with employment types broken down into 74% Full Time, 17% Part Time, and 9% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $123,854 per year, or $59.5 per hour.
Data Scientist

Data Scientist

Pepperidge Farm, Incorporated

Camden, NJ • On-site, Remote

$109K - $150K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 25 days ago

Pepperidge Farm rating

7.7

Company rating: 7.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

100th of 381 rated food and drinks producers

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8.

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Why Campbell's...

  • Benefits begin on day one and include medical, dental, short and long-term disability, AD&D, and life insurance (for individual, families, and domestic partners).
  • Employees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting.
  • Campbell's offers unlimited sick time along with paid time off and holiday pay.
  • If in WHQ - free access to the fitness center. Access to on-site day care (operated by Bright Horizons) and company store.
  • Giving back to the communities where our employees work and live is very important to Campbell's. Our "Campbell's Cares" program matches employee donations and/or volunteer activity up to $1,500 annually.
  • Campbell's has a variety of Employee Resource Groups (ERGs) to support employees.

HOW YOU WILL MAKE HISTORY HERE...

The Data Science Analyst plays a critical role in supporting the Demand Planning function by developing and enhancing advanced forecasting models. In this role, you will select optimal modeling approaches for different scenarios, tune parameters to improve performance, and supplement models with custom algorithm development when necessary. You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize financial and supply chain performance, and deliver measurable business impact.

WHAT YOU WILL DO...

Model Development

  • Develop and refine AI and machine learning models for demand forecasting using techniques such as time series analysis, regression, and ensemble learning

Data Analysis

  • Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and key demand drivers

Insight Generation

  • Translate data into actionable insights to understand the impact of promotions, pricing, and external factors on demand

Platform Utilization

  • Use the o9 platform and open-source IDEs for model development, deployment, data management, and visualization

Continuous Improvement

  • Monitor and improve forecasting model accuracy, adapting to changing market conditions

Collaboration

  • Partner with demand planners, analysts, and business stakeholders to ensure models and insights are practical and impactful

WHO YOU WILL WORK WITH...

  • Demand Planning teams

  • Business analysts and data analysts

  • Cross-functional business stakeholders

  • Supply chain and commercial teams

WHAT YOU BRING TO THE TABLE... (MUST HAVE)

  • 4+ years of experience in data science, forecasting, or advanced analytics (supply chain experience strongly preferred)

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field

  • Strong proficiency in Python, R, SQL, GitHub, and IDEs such as PyCharm or VS Code

  • Solid understanding of statistical modeling and machine learning techniques (e.g., time series, regression, ensemble learning)

  • Expertise in exploratory data analysis (EDA), data cleaning, and feature engineering

  • Strong analytical and problem-solving skills

  • Ability to translate complex analyses into clear business insights

  • Experience identifying and prioritizing risks

  • Continuous improvement mindset

IT WOULD BE GREAT IF YOU HAVE... (NICE TO HAVE)

  • Master's degree in a related field

  • Forecasting experience

  • Experience working with supply chain or demand planning datasets

  • Experience with the o9 platform

Working Conditions

  • Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office)

  • 10-15% travel for company and customer meetings

Compensation and Benefits:

The target base salary range for this full-time, salaried position is between

$109,400-$150,400

Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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