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Entry Level Python Data Science Jobs in Cincinnati, OH

Benchmark Gensuite

[US] Data Analytics Associate

Mason, OH · Hybrid

$55K - $56K/yr

Must be able to clearly understand and articulate a data science problem and work on it ... Experience with Python is an added advantage. * Extensive background in data mining and statistical ...

Benchmark Gensuite

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Must be able to clearly understand and articulate a data science problem and work on it ... Experience with Python is an added advantage. * Extensive background in data mining and statistical ...

Benchmark Gensuite

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Must be able to clearly understand and articulate a data science problem and work on it ... Experience with Python is an added advantage. * Extensive background in data mining and statistical ...

Smart Data

Senior Data Engineer

Cincinnati, OH

$101K - $138K/yr

NET, Python, VB.NET, SQL, KQL, PowerShell, TFS, Git, Azure Git. Bachelor of Technology in Computer ... Science and Engineering with 60 months of experience required, will accept foreign credentials, 40 ...

Great American Insurance Group

Data Engineer

Cincinnati, OH · On-site +1

$109K - $131K/yr

Collaborate with data analysts, data scientists, and other stakeholders to understand data ... Demonstrates proficiency in multiple programming languages (Python, SQL, R, etc.). * Experience ...

Great American Insurance Group

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Collaborate with data analysts, data scientists, and other stakeholders to understand data ... Demonstrates proficiency in multiple programming languages (Python, SQL, R, etc.). * Experience ...

Medpace, Inc.

AI Engineer

Cincinnati, OH · On-site +1

$109K - $132K/yr

Do you have a background in data science and/or computer science with experience working with AI ... Python, TensorFlow, PyTorch); * Preferably several years of experience working with different AI ...

Medpace, Inc.

AI Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Do you have a background in data science and/or computer science with experience working with AI ... Python, TensorFlow, PyTorch); * Preferably several years of experience working with different AI ...

Medpace

AI Engineer

Cincinnati, OH · On-site

$120 - $180/hr

Do you have a background in data science and/or computer science with experience working with AI ... Python, TensorFlow, PyTorch); * Preferably several years of experience working with different AI ...

Medpace, Inc.

Junior Data Engineer

Cincinnati, OH · On-site +1

Bachelor's Degree in Computer Science, Data Science, or a related field; * Internship experience in ... Knowledge of Python is preferred; * Knowledge of REST API; * Basic knowledge of SQL Server ...

SEI

Data and Analytics Consultant

Cincinnati, OH

... Scientists, Analysts and Data Governance professionals. Experience may include but not limited to ... Experience and knowledge of programming and scripting languages, such as but not limited to Python ...

Medpace, Inc.

Junior Data Engineer

Cincinnati, OH · On-site

Bachelor's Degree in Computer Science, Data Science, or a related field; * Internship experience in ... Knowledge of Python is preferred; * Knowledge of REST API; * Basic knowledge of SQL Server ...

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

As of Aug 23, 2026, the average hourly pay for entry level python data science in Cincinnati, OH is $56.25, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $63.89 per hour, depending on experience, location, and employer.

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?

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 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 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 Cincinnati, OH?

For Entry Level Python Data Science jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Data Science jobs in Cincinnati, OH look for?

The top searched job categories for Entry Level Python Data Science jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Entry Level Python Data Science jobs?

Cities near Cincinnati, OH 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 Cincinnati, OH as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $116,991 per year, or $56.2 per hour.

Analyst, Fraud Data Analytics and Insights

Fidelity Investments

Covington, KY • On-site

Full-time

Posted 3 days ago

New

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

16th of 151 rated financial services

Job description


Note: Fidelity is not providing immigration sponsorship for this position
Are you passionate about data analytics, investigating fraud, and combining strong technical skills with a risk mindset to uncover actionable insights from complex datasets? If so, you might be the right candidate for the Analyst, Fraud Data Analytics and Insights position within Fidelity's Fraud Risk and Control (FRC) organization.
The Role
In this role, your focus will be on supporting data analytics across the Fraud Risk and Control organization. Your responsibilities include:
  • Data analysis for fraud prevention, risk assessments, controls, and policy decisions
  • Operational reporting for global operations and fraud loss and analytical trends
  • Build Fidelity-specific fraud and scam domain expertise, striving to become an expert in Fidelity's complex business and the vast customer, transaction, trading data environment
  • Communicate analysis, collaborate with and provide recommendations to stakeholders within the fraud risk and control organization and to partners across enterprise cyber security

The Expertise and Skills You Bring
  • Bachelor's or master's degree or equivalent experience in a quantitative, analytics, or technical field (e.g., Data Science, Statistics, Engineering, Computer Science, Economics).
  • 2 plus years' experience in the financial services industry.
  • Fraud or risk related experience preferred.
  • Hands-on experience using SQL and analytical platforms to work with large, complex, structured, unstructured datasets to deliver actionable insights.
  • Experience with Python or other programming languages preferred.
  • Familiarity with ETL tools such as SnapLogic, Alteryx, Informatica.
  • Proven experience with data exploration and visualizations (Power BI or Tableau).
  • Prior project experience leveraging financial transaction, trading, customer data preferred.
  • Strong problem-solving and analytical skills, with the ability to identify data patterns and resolve complex business problems.
  • Ability to manage multiple priorities and shift gears across a variety of responsibilities.
  • Focus on execution by proactively identifying, communicating, and removing impediments to progress.
  • You are motivated, ask questions, thrive in a fast-paced and constantly evolving environment, and have a drive for continuous learning

The Team
The FRC organization, within Enterprise Cyber Security, is responsible for preventing, detecting, responding to, and investigating fraud incidents across the entire Fidelity enterprise. The FRC data analytics team supports reporting and analytics across the prevention/controls space, global operations performance analytics, fraud loss trends and analytical analysis into recent fraud events.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Business Analytics and Insights
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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