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Scientist Python Jobs in Lancaster, PA (NOW HIRING)

Amphenol TCS

Data Scientist

Yocumtown, PA · On-site

Data Scientist Location: Etters, PA Amphenol High Speed Products Group is the market leader for ... Strong proficiency in Python (scikit-learn, pandas, numpy, or similar) for model development

New

Amphenol TCS

Data Scientist

Yocumtown, PA · On-site

Data Scientist Location: Etters, PA Amphenol High Speed Products Group is the market leader for ... Strong proficiency in Python (scikit-learn, pandas, numpy, or similar) for model development

New

Penske

Data Scientist

Reading, PA · On-site

The role is an in-office position where the Data Scientist is expected to be in the office ... Python, R or other high level scripting languages is required. Demonstrated experience with one or ...

Penske

Data Scientist

Reading, PA

The role is an in-office position where the Data Scientist is expected to be in the office ... Practical experience programming using Python, R or other high level scripting languages is ...

WebstaurantStore

Data Scientist - Marketing

Lititz, PA · On-site +1

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... Advanced proficiency in Python and SQL, with strong foundation in statistical methods and advanced ...

WebstaurantStore

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... Advanced Python and SQL skills. * You have a proven ability with statistical methods and advanced ...

WebstaurantStore

Sr Data Scientist

Lititz, PA · On-site +1

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... Advanced Python and SQL skills. * You have a proven ability with statistical methods and advanced ...

WebstaurantStore

Data Scientist - Pricing

Lititz, PA · On-site +1

The Data Scientists are responsible for supplying statistical rigor to the organization's analytics ... Advanced Python and SQL skills Education This role does not require a degree. We value relevant ...

Mondo

Senior Maintenance Analyst

Reading, PA · On-site

$55 - $58/hr

Develop analytics solutions using Python and PySpark * Support data pipeline design, validation ... Collaborate with data science, engineering, and reporting teams to deliver standardized data ...

Mondo

Senior Maintenance Analyst

Reading, PA · On-site

$55 - $70/hr

Develop analytics solutions using Python and PySpark * Support data pipeline design, validation ... Collaborate with data science, engineering, and reporting teams to deliver standardized data ...

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All JobsScientist Python JobsScientist Python Jobs in Lancaster, PA

Scientist Python information

See Lancaster, PA salary details

$36.4K

$119.3K

$191K

How much do scientist python jobs pay per year?

As of Aug 29, 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.

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?

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.

How does a Scientist Python 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 is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

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.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

What are 10 careers related to Python?

A Python-focused scientist can pursue careers such as data scientist, machine learning engineer, data analyst, software developer, automation engineer, research scientist, bioinformatics specialist, quantitative analyst, AI engineer, and backend developer. These roles often require strong programming skills, knowledge of libraries like NumPy and Pandas, and experience with data analysis or software development environments.

Which scientist Python job is in demand?

Data scientist and machine learning engineer roles that require Python skills are currently in high demand across industries. These positions often seek proficiency in libraries like Pandas, NumPy, and TensorFlow, and may require experience with data analysis, modeling, and cloud platforms. Strong programming skills and relevant certifications can improve job prospects in this field.

What are popular job titles related to Scientist Python jobs in Lancaster, PA?

For Scientist Python jobs in Lancaster, PA, the most frequently searched job titles are:

What job categories do people searching Scientist Python jobs in Lancaster, PA look for?

The top searched job categories for Scientist Python jobs in Lancaster, PA are:

What cities near Lancaster, PA are hiring for Scientist Python jobs?

Cities near Lancaster, PA with the most Scientist Python job openings:

Scientist Python jobs near you

Data Scientist

Amphenol TCS

Yocumtown, PA • On-site

Full-time

Posted 3 days ago

New

Job description

Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world’s largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive.


Position: Data Scientist

Location: Etters, PA

Amphenol High Speed Products Group is the market leader for high-speed, high-bandwidth electrical connectors, cables, and systems for the Datacom/Telecom market (AI, ML, GPUs, Servers, Switches, Routers, Storage). Our products help to enable the artificial intelligence revolution by helping major Tier 1 Hyperscale Data Centers, their OEMs and break-out AI customers to innovate globally. Our global headquarters is in Nashua, NH and we have engineering, sales, and manufacturing locations globally. We are currently seeking a Data Scientist to join our engineering team.

RESPONSIBILITIES:

The Data Scientist will apply statistical modeling, machine learning, and advanced analytics to engineering data. Working alongside data analysts and software engineers, you will tackle complex, ambiguous problems and turn data into insight that drives engineering decisions.

KEY RESPONSIBILITIES:

  • Design and build statistical and machine learning models to solve engineering problems, such as predicting failures, optimizing processes, or identifying trends
  • Partner with engineering stakeholders to translate open-ended questions into well-scoped analytical projects
  • Explore and analyze large, complex datasets to uncover patterns and insights
  • Collaborate with data analysts and software engineers to productionize models and integrate them into existing systems and workflows
  • Validate model performance and monitor models in production, retraining or adjusting as needed
  • Communicate findings, methodologies, and recommendations clearly to both technical and non-technical stakeholders
  • Stay current on statistical and machine learning techniques and evaluate their applicability to engineering problems

QUALIFICATIONS:

A good candidate should have 3+ years of experience in a data science or applied statistics role.

  • Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field required. MS or PhD preferred.
  • Solid understanding of statistical methods and machine learning techniques
  • Comfort working with messy, real-world data, including cleaning, reconciling, and validating across multiple sources
  • Strong communication skills, able to explain complex methodologies to non-technical stakeholders

TECHNICAL EXPERTISE:

  • Strong proficiency in Python (scikit-learn, pandas, numpy, or similar) for model development
  • Experience with SQL for querying and preparing data

Amphenol Corporation is proud of our reputation as an excellent employer. Our focus is to provide the highest level of support and responsiveness to both our employees and our customers, the world's largest technology companies. Amphenol Corporation offers the opportunity for career growth within a global organization. We believe that Amphenol Corporation is unique in that every employee, regardless of his or her position, has the ability to positively impact the business.

Amphenol is an “Equal Opportunity Employer” - Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity/National Origin. For additional company information please visit our website at https://www.amphenol-cs.com/

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About Amphenol TCS

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Nashua, NH, US

Year founded

1968

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