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Entry Level Python Data Science Jobs in Buffalo, NY

Clarasight

Data Scientist

Boston, NY · On-site

You move fluidly between data science, prototyping, and product thinking, and you're just as ... Utilize Python, R, JavaScript, or Tableau to build scalable, testable tools for customers.

Jobsultant Solutions

Data Analyst

Buffalo, NY

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

M&T Bank

Model Risk Analyst-Validation

Buffalo, NY · On-site

$91K - $101K/yr

... Data Scientist, Quantitative Analyst, Product Developer, or related occupation. Requires Three (3) years of experience in each of the following: * Programming Languages, including Python, MATLAB, C/C ...

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$56

$83

How much do entry level python data science jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for entry level python data science 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 are some common challenges faced by entry-level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an Entry Level Python Data Scientist, and why are they important?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are popular job titles related to Entry Level Python Data Science jobs in Buffalo, NY? For Entry Level Python Data Science jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Buffalo, NY look for? The top searched job categories for Entry Level Python Data Science jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Entry Level Python Data Science jobs? Cities near Buffalo, NY with the most Entry Level Python Data Science job openings:
Entry Level Python Data Science jobs near you
Infographic showing various Entry Level Python Data Science job openings in Buffalo, NY as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% 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.

Data Scientist

Clarasight

Boston, NY • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 27 days ago

Job description

About Us
Join us in building the leading AI-Powered Mission Control for Corporate Travel. Some of the world's most recognizable companies, representing over $4T in market value, rely on Clarasight's software to reduce risks, save costs, protect revenues, and manage emissions aligned with business objectives and sustainability goals.
About You
You are a builder at heart - curious, analytical, and energized by turning complex financial and travel data into tools that people actually use. You move fluidly between data science, prototyping, and product thinking, and you're just as comfortable exploring a messy dataset as you are shipping a prototype into customers' hands. You thrive on iteration, customer feedback, and the challenge of making advanced techniques - including machine learning and LLMs - deliver real, measurable value.
About the Role
  • We are seeking a Data Scientist to create product prototypes that address customer needs and enhance platform capabilities.
  • This role translates analytical insights into actionable tools, using advanced data techniques and customer feedback to shape what ships next.
  • You will work across financial and travel spend data, collaborate closely with advisory, forecasting, and engineering partners, and help define how data science shows up in the Clarasight product.
Key Responsibilities
Prototype & Product Development
  • Design and develop product prototypes based on financial and travel spend analysis and client data.
  • Utilize Python, R, JavaScript, or Tableau to build scalable, testable tools for customers.
  • Iterate on prototypes based on customer feedback to refine and improve usability.
  • Work with engineering teams to operationalize data science workflows, ensuring scalability and long-term viability of prototypes.

Data Integration & Insight Generation
  • Lead data integration efforts across diverse sources and formats, ensuring clean, reliable, and unified datasets that power analytics and product features.
  • Leverage customer datasets to identify trends, generate insights, and create impactful solutions.
  • Collaborate with advisory and forecasting specialists to integrate insights into product design.

Advanced Techniques & Visualization
  • Explore and implement advanced techniques like machine learning, use of large language models for preliminary analyses, or optimization to improve the accuracy, speed, and efficiency of financial analytics tools.
  • Create dynamic visualizations and dashboards to provide clients with actionable financial insights in an intuitive format.
You'll Be a Great Fit If You...
  • Have experience in data science with a focus on finance, economics, travel spend analytics, or corporate cost management.
  • Have expertise in data integration - including ETL pipelines, API connections, and harmonizing data across multiple systems and formats.
  • Are proficient in Python, R, or JavaScript for data analysis and tool development.
  • Are familiar with building and testing product prototypes in an iterative environment.
  • Have strong knowledge of corporate finance principles, cost optimization strategies, and economic modeling.
  • Have experience developing data-driven tools and applications that enable stakeholders to make informed financial decisions.
  • Can communicate complex concepts to non-expert audiences effectively.
Nice to Haves
  • Experience working alongside AI systems and applying human judgment to automated outputs.
  • Hands-on experience with LLMs or ML models applied to financial or spend data.
  • Familiarity with corporate travel, expense, or emissions datasets.
  • Experience shipping prototypes into production alongside engineering teams.
Diverse Perspectives
We know that innovation thrives on teams where diverse points of view come together to solve hard problems in ways that are just now possible. As such, we explicitly seek people that bring diverse life experiences, diverse educational backgrounds, diverse cultures, and diverse work experiences. Please be prepared to share with us how your perspective will bring something unique and valuable to our team.
We Offer
  • Generous options in our early stage startup for key members of the team.
  • Working among a diverse, expert team at the forefront of climate tech, behavioral change, and people technology.
  • Opportunity to make a foundational contribution to our mission: close the gap between climate-related intention and action.
  • Remote and Hybrid work environments.
  • Robust benefits including full medical, dental and vision insurance, 401k (or similar retirement programs) and sustainability benefit ($500 annually to spend on increasing personal sustainability).

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