How much do scientist python jobs pay per year?

As of Jul 20, 2026, the average yearly pay for scientist python in Lancaster, PA is $119,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $132,200.00 per year, depending on experience, location, and employer.

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

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

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

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

Aspect Scientist Python Data Analyst Python Required Credentials Bachelor's or Master's in Science, Data Science, or related fields; Python proficiency Bachelor's in Statistics, Data Analysis, or related fields; Python skills Work Environment Research labs, R&D departments, tech companies Business intelligence teams, marketing, finance departments Employer & Industry Usage Research institutions, tech firms, healthcare Corporate, finance, retail, marketing Common Search & Comparison Yes Yes Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

$95k-$168k Scientist Python Jobs in Lancaster, PA

Criminal Investigation & Law Enforcement | IRS Careers

Mathematical Statistician (Data Scientist) - Direct Hire

Lancaster, PA

$74K/yr

Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. * Experience creating and querying different datastores and ...

Criminal Investigation & Law Enforcement | IRS Careers

Mathematical Statistician (Data Scientist) - Direct Hire

Lancaster, PA

$74K/yr

Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. * Experience creating and querying different datastores and ...

US Department of the Treasury