1

Scientist Python Jobs in Cleveland, OH (NOW HIRING)

The Staff Data Scientist will typically work on 3-5 large projects concurrently that have ... Advanced experience developing and deploying machine learning models using Python and modern ML ...

Data Science Tutor

Akron, OH ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Tutor

Cleveland, OH ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

Scientific Games: Scientific Games is the global leader in lottery games, sports betting and ... Automate common tasks using Bash scripting, Ansible, and Python to improve operational efficiency ...

Scientific Games: Scientific Games is the global leader in lottery games, sports betting and ... Automate common tasks using Bash scripting, Ansible, and Python to improve operational efficiency ...

Showing results 41-60

Scientist Python information

See Cleveland, OH salary details

$36.4K

$119K

$190.6K

How much do scientist python jobs pay per year?

As of Aug 8, 2026, the average yearly pay for scientist python in Cleveland, OH is $119,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,500.00 and $131,900.00 per year, depending on experience, location, and employer.

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 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 much does a scientist Python make?

A Python scientist, often called a data scientist or machine learning engineer, typically earns between $80,000 and $130,000 annually, depending on experience, location, and industry. Advanced skills in Python, data analysis, and machine learning tools can lead to higher salaries, especially in tech hubs or specialized sectors.

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.

Which scientist Python job is in demand?

Data scientist and machine learning engineer roles that require Python skills are currently in high demand across various industries. These positions often seek proficiency in libraries like Pandas, NumPy, and TensorFlow, along with experience in data analysis, modeling, and visualization. Strong programming skills, relevant certifications, and knowledge of cloud platforms can enhance job prospects in this field.
What job categories do people searching Scientist Python jobs in Cleveland, OH look for? The top searched job categories for Scientist Python jobs in Cleveland, OH are:
What cities near Cleveland, OH are hiring for Scientist Python jobs? Cities near Cleveland, OH with the most Scientist Python job openings:
Infographic showing various Scientist Python job openings in Cleveland, OH as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $119,035 per year, or $57.2 per hour.

Staff Data Scientist

Penske

Beachwood, OH โ€ข On-site

Full-time

Re-posted 11 days ago


Job description


Staff Data Scientist
Location: Beachwood, OH
Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate)
Position Summary:
The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives.
Major Responsibilities:
Identifying High Value Analytics & AI Opportunities
  • Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities.
  • Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership.

Lead Data Science Projects
  • Translate complex business requirements into robust, scalable technical solutions.
  • Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable.
  • Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement.
  • Ensure solutions are production ready, maintainable, and aligned with MLOps best practices.
  • Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement.

Technical Guidance & Thought Leadership
  • Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns.
  • Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows.
  • Contribute to the development of internal standards, reusable components, and best practice guidelines.

Project Management
  • Develop and maintain project plans, milestones, and communication strategies for strategic initiatives.
  • Facilitate regular updates with stakeholders, executives, and cross functional partners.
  • Coordinate with vendors, consultants, and technology partners when external expertise is required

Lead technology change in Data Science, Analytics and AI
  • Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value.
  • Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform.
  • Drive experimentation and prototyping to accelerate innovation and reduce time to value.

Qualifications
Qualifications:
  • Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field.
  • PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field.
  • 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required.
  • Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow).
  • Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP.
  • Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases.
  • Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance.
  • Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes.
  • Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed.
  • Advanced skill in statistical modeling, SQL, and database concepts required.
  • Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction.
  • Familiarity with Logistics industry is preferred.
  • Regular, predictable, full attendance is an essential function of the job
  • Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required.

Physical Requirements:
-The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
-The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines.
-While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg.
-Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus.
Penske is an Equal Opportunity Employer.
About Us
About Penske Truck Leasing/Transportation Solutions
Penske Truck Leasing/Transportation Solutions is a premier global transportation provider that delivers essential and innovative transportation, logistics and technology services to help companies and people move forward. With headquarters in Reading, PA, Penske and its associates are driven by a dedication to excellence and a commitment to customer success. Visit Go Penske to learn more.