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

Coty

Data Scientist Demand Planning

Cedar Brook, NJ · On-site +1

As Data Scientist (Demand Planning) , you will lead forecasting and data science capabilities ... Proficiency SQL and/or Python, working in Databricks, being able to develop dashboards in Power BI

UHS

Applied Data Scientist

King Of Prussia, PA

The Applied Data Scientist recommends and implements methodologies appropriate to large scale data ... Proficient in SAS/Python/R or other key programming languages. * Skilled in domain specific ...

Nuuly

Nuuly Lead Data Scientist

Philadelphia, PA · On-site

Role Summary Nuuly is looking for a Lead Data Scientist who will lead data science work embedded in ... Strong Python and SQL experience * Strong with ML tools (e.g., scikit-learn, Jupyter Notebooks ...

Nuuly

Nuuly Lead Data Scientist

Philadelphia, PA · On-site

Role Summary Nuuly is looking for a Lead Data Scientist who will lead data science work embedded in ... Strong Python and SQL experience * Strong with ML tools (e.g., scikit-learn, Jupyter Notebooks ...

PKR

Senior AI Data Scientist

Exton, PA · On-site

$175K - $195K/yr

This role is ideal for someone who combines strong Python and applied AI expertise with a product ... Who You Are You are an AI-native data scientist who enjoys solving complex problems and turning ...

United States Cold Storage

Data Scientist II

Camden, NJ

$100K - $120K/yr

Data Scientist II Build the intelligence that optimizes the movement of food at national scale Who ... Python and SQL, from prototype through operationalization partnering with business · Model ...

United States Cold Storage

Data Scientist II

Camden, NJ

$100K - $120K/yr

Data Scientist II Build the intelligence that optimizes the movement of food at national scale Who ... Python and SQL, from prototype through operationalization partnering with business · Model ...

Brooksource

Lead Data Scientist

Philadelphia, PA · On-site

$163K - $173K/yr

Senior Data Scientist Philadelphia, PA Hybrid Role Compensation: $163,000 - $173,000 We are seeking ... Expert-level proficiency in Python and SQL. * Deep, hands-on experience with machine learning ...

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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 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 Demand Planning

Data Scientist Demand Planning

Coty

Cedar Brook, NJ • On-site, Remote

Other

Posted 19 hours ago

Coty rating

8.1

Company rating: 8.1 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

As Data Scientist (Demand Planning), you will lead forecasting and data science capabilities within Coty's demand planning organization, improving forecast accuracy while mentoring an inhouse analytics team. Your work will directly impact inventory, service levels, and planning performance across the business.

THE ROLE

OPTIMIZE, ENABLE, INNOVATE!

As our Data Scientist (Demand Planning), you play a critical role in strengthening demand planning through advanced forecasting models and strong team leadership. You will act as the technical reference for data science in demand planning, improving algorithms and enabling datadriven decisions across categories.

You will be reporting to the Demand Planning Lead, and you will manage:

1. Technical leadership & forecasting models:

  • Lead improvement of forecasting algorithms and predictive models
  • Apply machine learning and AI techniques to demand planning use cases
  • Review model performance and identify improvement opportunities
  • Ensure robustness and scalability of forecasting solutions

2. Team leadership & people management:

  • Directly manage 4 inhouse Data Analysts
  • Provide technical guidance, coaching, and development support
  • Set clear priorities and ways of working for the analytics team
  • Act as a technical and professional role model

3. Collaboration & system enablement:

  • Work closely with external O9 Data Science consultants on backend changes
  • Support implementation and adoption of O9 as the demand planning system
  • Translate analytical insights into actionable recommendations for planning teams
  • Partner with demand planning stakeholders across all business units

YOU ARE A COTY FIT

As a Data Scientist with strong leadership capabilities, you thrive in a fastpaced and diverse environment. You are structured, confident, and comfortable guiding teams through change.

  • 5+ years of experience as a Data Scientist
  • Experience in demand planning
  • Proficiency SQL and/or Python, working in Databricks, being able to develop dashboards in Power BI
  • Skilled in working with Microsoft Office (PowerPoint, Excel, Word)
  • Solid background in predictive modeling and forecasting
  • Proven experience leading Data Scientists or Data Analysts
  • Experience with machine learning and statistical models (optional)

At Coty, we value data savvy people. As part of the Coty.Curatedstrategic program, we are transforming into a data centric organization powered by AI. If you have data engineering skills or experience developing dashboards in Power BI, this is considered a strong advantage

If you're ready to support and shape the future of beauty, we want you on our team!

WHAT WE OFFER

This is a unique role with a genuine opportunity to make an impact. You'll get to work in a diverse environment with a team of professionals who are passionate about the work they do and know how to have some fun along the way.

Coty's global omniworking policy provides the option to work up to 50% of your month remotely. We believe that a more flexible philosophy of remote working will give everyone the freedom to choose what works for their individual circumstances and empower them to always perform at their best.

ABOUT US

Our people make us who we are. They are the brightest minds bringing the boldest ideas to life every day. If you're the kind of person who refuses to settle, wants to think bigger, learn faster and go further than you ever thought possible - we'd love to hear from you.

Coty is deeply committed to Changing the Conversation around Diversity, Equity & Inclusion to create a more open, inclusive, and diverse workplace where all employees can be their authentic self.

Apply