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

Data Scientist II

Camden, NJ · On-site

$100K - $120K/yr

... data science, machine learning, or advanced analytics roles • Strong programming skills in Python; experience using SQL to work with large datasets • Experience building, validating, and ...

Data Scientist II

Camden, NJ · On-site

$100K - $120K/yr

... data science, machine learning, or advanced analytics roles • Strong programming skills in Python; experience using SQL to work with large datasets • Experience building, validating, and ...

Data Scientist III

Philadelphia, PA · On-site +1

$110.49K - $115.60K/yr

... science into production; utilizing nix systems, open-source software, Jupyter notebook hubs, cloud computing, MATLAB for data modeling, machine learning and visualization purposes, and Java, Python ...

Data Scientist III

Philadelphia, PA · On-site

$110.49K - $115.60K/yr

... science into production; utilizing nix systems, open-source software, Jupyter notebook hubs, cloud computing, MATLAB for data modeling, machine learning and visualization purposes, and Java, Python ...

... to - Python, R, Scala, or equivalent; Spark, Hadoop file system and others (15%) • Access and ... Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or ...

Applies modern and emerging data science techniques to solve business problems across functions ... Expertise in programming with Python, R, or SQL; hands-on experience with machine learning ...

Applies modern and emerging data science techniques to solve business problems across functions ... Expertise in programming with Python, R, or SQL; hands-on experience with machine learning ...

Qualifications Education Master's, or PhD in Computer Science, Data Science, Engineering ... in Python or R with strong expertise in machine learning frameworks (scikit-learn, TensorFlow ...

Applies modern and emerging data science techniques to solve business problems across functions ... Expertise in programming with Python, R, or SQL; hands-on experience with machine learning ...

Inventory Science, aimed at optimizing the acquisition and utilization of inventory across the ... Strong Python and SQL experience * Strong with ML tools (e.g., scikit-learn, Jupyter Notebooks ...

Inventory Science, aimed at optimizing the acquisition and utilization of inventory across the ... Strong Python and SQL experience * Strong with ML tools (e.g., scikit-learn, Jupyter Notebooks ...

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Python Data Science information

See Philadelphia, PA salary details

$13

$59

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How much do python data science jobs pay per hour?

As of May 29, 2026, the average hourly pay for python data science in Philadelphia, PA is $59.06, according to ZipRecruiter salary data. Most workers in this role earn between $48.70 and $67.07 per hour, depending on experience, location, and employer.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.
What are the most commonly searched types of Python Data Science jobs in Philadelphia, PA? The most popular types of Python Data Science jobs in Philadelphia, PA are:
What are popular job titles related to Python Data Science jobs in Philadelphia, PA? For Python Data Science jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in Philadelphia, PA look for? The top searched job categories for Python Data Science jobs in Philadelphia, PA are:
Infographic showing various Python Data Science job openings in Philadelphia, PA as of May 2026, with employment types broken down into 93% Full Time, 2% Part Time, 1% Temporary, and 4% Contract. Highlights an 71% Physical, and 29% Remote job distribution, with an average salary of $122,844 per year, or $59.1 per hour.

Marketing Data Science Specialist

superiorplus

Wayne, PA • On-site, Remote

Other

Retirement

Posted 2 days ago


Job description

Superior Propane is looking for an experienced Marketing Data Science Specialist with a strong career focus on data-driven problem-solving and collaboration. In this role (with room to grow), you’ll spend about 80% of your time working hands-on with data—designing and applying advanced analytics, AI, and predictive modeling to unearth insights for our marketing and customer-centric strategies. The remaining 20% will focus on stakeholder engagement: presenting clear, direct findings to various departments, directors, and occasionally senior leadership. If you thrive on detailed execution, can pivot quickly to solve real business problems, and enjoy guiding decision-makers with strategic storytelling, this could be your ideal fit.

Why join us:

Culture: Join a supportive and inclusive work environment where collaboration, respect, and open communication are at the core of everything we do.

Competitive Compensation: We offer highly competitive compensation and a total rewards package, ensuring that your hard work and dedication are recognized and rewarded accordingly.

Flexibility: We understand the importance of work-life balance and offer various flexible schedules to help you manage your personal and professional commitments effectively.

Technology: Work with state-of-the-art tools and technologies that empower you to excel in your role and stay at the forefront of industry trends.

Employee Assistance Programs: We care about you! You and your family will have access to LYRA, an industry leading platform that provides comprehensive support and a myriad of resources to help support your physical, mental, financial and social well-being.

Opportunity: A continuous focus on professional development with many opportunities for training & career growth.

Safety Focused: We care about you and have developed a 24/7 safety mindset that is showcased throughout every facet of the organization.

What you’ll do:

  • Advanced Analytics Projects: Lead at least one advanced analytics initiative in your first 6–12 months, applying predictive models or AI techniques to drive immediate, actionable insights.
  • Business Collaboration & Awareness: Partner closely with various stakeholders (Marketing, BI, IS), and other cross-functional groups to understand business challenges and uncover data-driven solutions.
  • Data Storytelling & Presentation: Transform complex analyses into compelling, concise narratives for both technical and non-technical audiences. Communicate results directly focusing on outcomes over process.
  • Customer Sentiment & Retention Insights: Own or influence metrics around customer sentiment, retention, and marketing strategy (e.g., segmentation, sentiment analysis, profile building).
  • Test-and-Learn Environment: Embrace a “problem solver” mindset: run experiments, refine approaches, and continually enhance business impact through iterative learning.
  • Process Expertise & Execution: Employ established analytics processes (data ingestion, cleaning, modeling) to efficiently deliver results while maintaining high data quality.
  • NA Collaboration: Operate effectively with a geographically dispersed team; coordinating project timelines, sharing updates, and ensuring all stakeholders remain engaged and informed.

What you bring:

  • A bachelor’s degree (or demonstrated hands on experience) in Data Science, Statistics, Social Sciences, Computer Science, Marketing, or a related field is preferred.
  • Professional courses or certification in advanced analytics, marketing analytics, or AI/ML tools would be an asset
  • Solid experience (minimum 3 years) working with analytics or big data, particularly around customer behavior, segmentation, or strategic marketing.
  • Proficiency in programming languages including SAS, Python, R, and/or SQL and data visualization tools such as Power BI, Tableau or Looker.
  • Familiarity with AI tools and the application of machine learning models (without needing to engineer deep ML solutions from scratch).
  • Ability to roll up your sleeves to handle data end-to-end, with the abilty to see the bigger picture purpose and scope of the project, and craft a strategic approach.
  • Curious and adept at quickly diagnosing business needs, using data creatively, and delivering immediate results.
  • Skilled at presenting outcomes in a straightforward, direct manner, making complex analytics understandable to non-technical colleagues.
  • Enjoy working with various teams (Marketing, BI, IS, Finance, Sales) to refine processes, spark innovation, and achieve mutual shared goals.
  • Organized, self-driven, and comfortable collaborating with stakeholders virtually
  • Legal Authorization to work in the US is required. We will not sponsor individuals for employment visas now or in the future for this job opening.

Why Join Us?

  • Immediate Impact: Contribute to high-visibility analytics initiatives that directly influence customer sentiment, retention, and strategic marketing.
  • Growth Potential: As a mid-level role, this position offers the chance to evolve your career path, refine your skill set, and establish yourself as a leader in analytics-driven marketing.
  • Collaborative Culture: You’ll work cross-functionally with talented peers, refining ideas in a test-and-learn environment that values experimentation and swift problem-solving.

Salary: $85,000 - $105,000 annually (based on skills, experience, qualifications, and geography).

Eligible employees may earn performance-based incentives and have access to comprehensive benefits and retirement plans with matching contributions.

This posting is a replacement for an existing vacancy. We do not use AI tools in the selection process and do not request pay history.