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Entry Level Data Scientist Jobs in Springfield, OH

... * Entry level or 0-2 years of software development experience, preferably in a research or ... Experience with data visualization and analysis tools. * Interest in scientific research and ...

... * Entry level or 0-2 years of software development experience, preferably in a research or ... Experience with data visualization and analysis tools. * Interest in scientific research and ...

You will write and maintain multiple source code repositories for data analysis tools to support ... Bachelor's degree in Computer Science, Computer Engineering, Math, or a closely related technical ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Job Summary The Metallurgical Department is seeking an entry-level to mid-level Materials Engineer ... Analyze test data against governing customer and industry specifications to generate accurate ...

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Entry Level Data Scientist information

See Springfield, OH salary details

$41.4K

$148.6K

$219.3K

How much do entry level data scientist jobs pay per year?

As of Jul 27, 2026, the average yearly pay for entry level data scientist in Springfield, OH is $148,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,200.00 and $153,100.00 per year, depending on experience, location, and employer.

What Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

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

To thrive as an Entry Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

What is the difference between Entry Level Data Scientist vs Data Analyst?

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Springfield, OH? The most popular types of Data Scientist jobs in Springfield, OH are:
What cities near Springfield, OH are hiring for Entry Level Data Scientist jobs? Cities near Springfield, OH with the most Entry Level Data Scientist job openings:
Infographic showing various Entry Level Data Scientist job openings in Springfield, OH as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $148,639 per year, or $71.5 per hour.
Scientist I - Inhalation Toxicologist Research Scientist

Scientist I - Inhalation Toxicologist Research Scientist

Leidos

Dayton, OH

Full-time

Posted 4 days ago


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

67th of 487 rated business services


Job description

Are you a skilled Scientist in Inhalation Toxicology Research looking for a new opportunity? Look no further than Leidos!

Leidos Health & Civil Sector is seeking an experienced Research Scientist, Scientist I, to perform Inhalation Toxicology Research in support of biomedical research in the Environmental Health Effects Laboratory (EHEL) at the Naval Medical Research Unit Dayton, OH. The successful candidate will serve as Project Lead in cell-based and animal use research studies on environmental and occupational exposures to identify health effects before health and operational performance is compromised in the warfighter.

Are you ready for unique and exciting work?

Research efforts will require study design, medical and scientific authoring and editing of research proposals, animal use (IACUC) protocols, technical and scientific reports, responses to grants and funding calls; scientific management, coordination of technical review meetings and the preparation and presentation of point papers, technical reports, and other briefings resulting from these meetings, preparation and support of technical summaries and publications resulting from research activities; presentation of research findings at scientific meetings / professional conferences; writing, reviewing, editing, and submitting peer-reviewed articles and technical reports.

Your Main Objectives:

  • Work with a diverse team of scientists, including toxicologists, engineers, neuroscientists, chemists, psychologists, animal behaviorists and biologists, to accomplish the mission of understanding the health effects of operating in military settings.

  • Design and conduct scientific research on the inhalation toxicological effects of exposure to chemicals/mixtures; these may be in combination with extreme environmental hazards or stressors, to include temperature, humidity, altitude, vibrations, and noise, and/or physical demand.

  • Utilize animal models to evaluate the short- and long-term health and performance effects of acute and chronic exposure to chemicals, mixtures, environmental hazards and stressors.

  • Provide scientific expertise in the field of inhalation toxicology regarding all organ systems, including pulmonary, neurological/cognitive and developmental and reproductive effects.

  • Identify, devise, propose and execute military relevant studies and collect data from animal subjects (primarily rodent)

  • Develop appropriate exposure systems, including analytical techniques for identifying toxicants and/or aerosols.

  • Contribute substantially to the design and building toxicant generation and other exposure systems.

  • Perform risk assessments based on collected toxicological data.

  • Assist other investigators in the design and execution of research protocols on inhalation toxicology and environmental exposure issues of interest to the Navy.

  • Operate and maintain standard and specialized laboratory equipment.

  • Assist and educate entry level research assistant personnel in the understanding and performance of their duties.

  • Collect pulmonary/respiratory data, or other appropriate endpoints, from animal subjects following exposure.

  • Perform statistical analyses using SigmaPlot, Statistical Package for the Social Sciences (SPSS) or Statistical Analysis Software (SAS). Examples of the typical analyses required for successful performance include T-tests, Chi-Square, Analyses of Variance, Multivariate Analyses of Variance, analyses of covariance, multivariate analyses of covariance, correlations, linear regressions, multiple linear regressions, and power analyses.

  • Use multiple computer software packages to create spreadsheets and perform statistical routines.

  • Independently and proactively prepare mission-relevant proposal applications for toxicological, physiological, psychological, medical, and performance studies.

  • Independently and plan, manage, oversee, and carry out research proactively ensuring that those assisting in project coordination are fully informed and able to perform proposed/funded research, meeting all project deadlines.

  • Develop technical reports, presentations, and publications.

  • Be willing and able to work nontraditional hours (e.g., nights, weekends) as needed.

  • Perform other duties as needed.

If this sounds like an environment where you can thrive, keep reading for the keys to success!

Qualifications:

  • Ph.D. in Toxicology or a related scientific field with specialized study in inhalation, pulmonary and/or respiratory toxicology

  • Extensive experience proposing and conducting original research, including the design and implementation of protocols with animal models, data collection and analysis, and report production.

  • Extensive experience in toxicology studies utilizing small animals, with a specialty in inhalation research.

  • Strong background in toxicology research methodology with experience in research methods, design, and statistical analysis in a research setting.

  • Proficiency in Microsoft Outlook, Word, PowerPoint, and Excel.

  • Proficiency in the use of common statistical analysis software, to include SigmaPlot, SPSS and SAS.

  • Strong technical writing background with experience in writing research proposals, standard operating procedures, animal use protocols for approval by the Institutional Animal Care and Use Committee (human use/Institutional Review Board protocols a plus), technical reports, journal articles, and conference papers.

  • Excellent communication and interpersonal skills and ability to work cooperatively in a team environment.

  • Self-motivated and capable of working independently and with others.

  • Ability to obtain Secret Clearance

  • US Citizen

Preferred Qualifications:

  • PhD plus 3+ years of relevant experience

  • Experience in a military or medical research environment is highly desired

  • Demonstrated experience and success responding to research funding and grant requests for proposals.

  • Experience in modeling (e.g., quantitative-structure activity relationships, benchmark dose, etc.) a plus.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:April 23, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $69,550.00 - $125,725.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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