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Freelance Python Data Analysis Jobs in Buffalo, NY

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

AI Engineer

Buffalo, NY · On-site

$50K - $112K/yr

... Python and TensorFlow - Integrating data from various sources to create unified views for analysis - Building and maintaining data pipelines to support AI model deployment - Applying complex data ...

AI Engineer

Buffalo, NY · On-site

$55K - $187K/yr

... Python and TensorFlow - Integrating data from diverse sources to support AI and machine learning solutions - Conducting complex data analysis to identify patterns and trends for informed decision ...

Data Science Tutor

Buffalo, NY · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Digital Analyst Internships

Buffalo, NY

$95K - $112K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Buffalo, NY · On-site

$95K - $112K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Best practices for capturing / retaining data * Pros / Cons of competing analysis methods ... Advanced Python/R/SAS: * Databases * Efficient coding * Can build strong code controls and ...

Showing results 21-40

Freelance Python Data Analysis information

See Buffalo, NY salary details

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$56

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How much do freelance python data analysis jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for freelance python data analysis in Buffalo, NY is $56.78, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $64.52 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a freelance Python data analyst?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Buffalo, NY? The most popular types of Python Data Analysis jobs in Buffalo, NY are:
What are popular job titles related to Freelance Python Data Analysis jobs in Buffalo, NY? For Freelance Python Data Analysis jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analysis jobs in Buffalo, NY look for? The top searched job categories for Freelance Python Data Analysis jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Freelance Python Data Analysis jobs? Cities near Buffalo, NY with the most Freelance Python Data Analysis job openings:
Infographic showing various Freelance Python Data Analysis job openings in Buffalo, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,112 per year, or $56.8 per hour.

Scientist II, Data Scientist, Bioprocess Digital Twin

Thermo Fisher Scientific

Grand Island, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 422 frontline employees who took The Breakroom Quiz

197th of 536 rated manufacturers


Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
Description:
Join our team of data scientists at Thermo Fisher Scientific, where you'll contribute to innovation through advanced analytics and AI solutions. As a Scientist II in Data Sciences, you'll apply technologies to solve complex business challenges across our organization. You'll work on diverse projects ranging from predictive modeling and machine learning to generative AI applications, collaborating with teams to deliver solutions that advance our mission of enabling customers to make the world healthier, cleaner, and safer.
In this role, you'll work with senior scientists, engineers, and software teams to build datasets, models, and workflows that support practical digital twin applications. The successful candidate will bring solid bioprocess knowledge, strong quantitative skills, and the ability to turn scientific questions into clear analyses and useful modeling results. This position offers professional growth opportunities and the chance to work with skilled professionals in a collaborative environment focused on innovation.

Responsibilities

  • Support development of predictive modeling and simulation workflows for CHO cell culture and upstream bioprocess digital twin applications.
  • Build, test, and evaluate models for key upstream process behaviors, including nutrient consumption, metabolite accumulation, cell growth, viability, and productivity.
  • Analyze bioprocess datasets, including time-series bioreactor data, offline assay results, spent media data, and process metadata.
  • Use Python and scientific computing tools to process data, run simulations, visualize results, and support model evaluation.
  • Collaborate with scientists, engineers, and software developers to summarize modeling results, document assumptions, and support experimental planning.

Education

  • Master's Degree in Biochemical Engineering, Chemical Engineering, Biotechnology, Computational Biology, Systems Biology, Bioinformatics, Cell Biology, or a related field; or Bachelor's Degree plus 2 years of industry experience.

Qualifications & Experience

  • Relevant academic or industry experience in upstream bioprocessing, cell culture, process modeling, computational biology, data science, or related scientific domains.
  • Good understanding of CHO cell culture and upstream bioprocessing concepts, including media, feeding strategies, bioreactor operation, metabolites, cell growth, viability, productivity, and process parameters.
  • Hands-on Python experience for scientific computing, data analysis, visualization, simulation, or model implementation.
  • Experience working with bioprocess or biological datasets, especially time-series data, assay results, spent media data, or process metadata.
  • Familiarity with mechanistic, statistical, machine learning, or hybrid modeling approaches for biological or process systems.
  • Strong analytical and problem-solving skills, with attention to data quality and scientific detail.
  • Ability to work effectively in cross-functional teams and contribute to project activities under guidance from senior scientists or project leads.

Preferred

  • Familiarity with PAT systems, bioreactor data infrastructure, LIMS/ELN/MES environments, cloud-based data workflows, or software-enabled scientific tools is a plus.
  • Exposure to digital twin modeling, virtual experimentation, metabolic modeling, or process simulation is a plus.

Join Us

At Thermo Fisher Scientific, each one of our extraordinary minds has a unique story to tell. Join us and contribute to our singular mission--enabling our customers to make the world healthier, cleaner, and safer.

Compensation and Benefits

The salary range estimated for this position based in New York is $72,600.00–$95,000.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs

  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement

  • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy

  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

  • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards


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