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Data Analyst Data Scientist Jobs in Springfield, OH

We are seeking an AI Data Analyst to support teams in preparing and maintaining AIready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality ...

Signals Data Analyst, Mid

Dayton, OH · On-site

$69K - $158K/yr

Signals Data Analyst, Mid The Opportunity: Leverage SIGINT and non-SIGINT data sources to close discovery gaps, optimize client systems, and enhance the client's ability to pursue essential data.

Signals Data Analyst, Mid

Dayton, OH · On-site

$69K - $158K/yr

Signals Data Analyst, Mid The Opportunity: Leverage SIGINT and non-SIGINT data sources to close discovery gaps, optimize client systems, and enhance the client's ability to pursue essential data.

Data Science * Bioinformatics * or a closely related quantitative discipline * Minimum 1 year of professional experience in visual analytics, data analytics, or a related field. * Demonstrated ...

Urgent Need SR Data Analyst

Dayton, OH

$83K - $105K/yr

Title: Sr. Data Analyst - SQL Location: Dayton, OH Duration: 9 to 12 months+ Top Desired Skills: Data Analysis, Data Mapping, SQL, SQL Server, Healthcare Industry experience We are in search of an ...

Urgent Need SR Data Analyst

Dayton, OH

$83K - $105K/yr

Data Analysis, Data Mapping, SQL, SQL Server, Healthcare Industry experience We are in search of an experienced Sr. Data Analyst with at least 5+ years of experience. An ideal candidate will have ...

Showing results 41-60

Data Analyst Data Scientist information

See Springfield, OH salary details

$41.4K

$148.6K

$219.3K

How much do data analyst data scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analyst 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 is the difference between Data Analyst Data Scientist vs Data Engineer?

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

Can you go from a data analyst to a data scientist?

Yes, transitioning from a data analyst to a data scientist is common and often involves gaining advanced skills in machine learning, statistical modeling, and programming languages like Python or R. Many data scientists have backgrounds in data analysis but expand their expertise through additional training, certifications, or advanced degrees such as a master's in data science or related fields.

Can a data scientist work as a data analyst?

A data scientist can often work as a data analyst since both roles involve analyzing data, but data scientists typically have more advanced skills in machine learning, statistical modeling, and programming. Transitioning may require gaining experience with tools like SQL, Excel, and visualization software, and understanding business context. The roles can overlap, but data scientists usually handle more complex data modeling tasks than data analysts.

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.

What job categories do people searching Data Analyst Data Scientist jobs in Springfield, OH look for?

The top searched job categories for Data Analyst Data Scientist jobs in Springfield, OH are:

What cities near Springfield, OH are hiring for Data Analyst Data Scientist jobs?

Cities near Springfield, OH with the most Data Analyst Data Scientist job openings:

Infographic showing various Data Analyst Data Scientist job openings in Springfield, OH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $148,639 per year, or $71.5 per hour.

Senior Data Scientist

HumanIT Solutions

Beavercreek, OH • Remote

Full-time

Re-posted 3 days ago


Job description

WHO WE ARE:

At HumanIT, we are fueled by honesty, integrity, and hard work. Our mission is to confront our clients' most significant IT challenges head-on, providing superior solutions built on cutting-edge cybersecurity standards, advanced technology concepts, and modern business practices. By doing so, we enable our clients to focus on their core applications and services that drive their business forward. At HumanIT, we recognize and value your skills, experience, and education. Let your new adventure begin today!

WHO YOU ARE:

You are a highly motivated Sr. Data Scientist with advanced technical expertise in designing, modernizing, and managing enterprise data environments. You will guide the organization through business, process, and technology changes while supporting data migration, archival, system staging, and contract writing system modernization efforts. The role involves working with complex contract data, multiple data formats, and large-scale DoD and federal acquisition systems. This position supports the PMO and can be performed remotely with occasional travel.

WHAT YOU WILL DO:
  • Design and implement database solutions, data models, and architectures for efficient data storage and retrieval.
  • Evaluate client operations and applications to determine database structural needs.
  • Create continuity between applications and databases, including standardizing naming conventions and optimizing data structures.
  • Ensure that database implementations comply with internal standards and external regulations.
  • Prepare data architecture reports and documentation for leadership.
  • Translate business requirements into technical specifications, including data flows, integrations, and data warehouse structures.
  • Define data architecture frameworks, standards, and principles (metadata, modeling, master data, security).
  • Establish reference architectures and oversee enterprise data flow design across business units.
  • Coordinate and collaborate with multiple departments, stakeholders, vendors, and partners.
  • Lead and support data migration efforts from legacy systems to new platforms.
  • Respond to system and data issues in a timely manner.
  • Utilize programming skills (PowerShell, Access, SharePoint, etc.) to develop custom reports and tools.
  • Work extensively with Oracle databases and SQL (DDL/DML).
  • Apply contracting expertise, including knowledge of FAR/DFARS and contract writing systems such as ConWrite, CON IT, and ACPS.
  • Leverage DoD data standards including PDS, PRDS, ADS, and EDI for contract data migration.
  • Use Air Force contracting systems and feeder systems (e.g., DEAMS, ABSS, EDA, PIEE, FPDS).
  • Work with PDS/PRDS, EDI, and Oracle tools to manipulate and transform large volumes of contract data.
  • Communicate effectively with stakeholders at all levels, working independently with minimal supervision
  • WHAT WE REQUIRE:Minimum Qualifications:
  • Clearance Level: Secret with a Sec+ cert or equivalent
  • Education: Bachelor’s Degree
  • Strong IT background with 7+ years of handson experience in enterprise data environments
  • Programming experience for building onetimeuse tools (PowerShell, Access, SharePoint, etc.)
  • Expertise with Oracle databases and SQL
  • Minimum six years of contracting experience (FAR/DFARS)
  • Strong familiarity with ConWrite, CON‑IT, and ACPS
  • Knowledge of DoD data standards (PDS, PRDS, ADS, EDI)
  • Familiarity with XML and its associated XSLT tool frameworks as well as processors used to manipulate XML.
  • Ability to work independently, manage priorities, and clearly communicate technical concepts
  • Experience analyzing large contract datasets and multiple data file formats
  • Familiarity with Python
  • Experience with ETL processes, relationship mapping and creating ERDs
  • Preferred Qualifications:
  • Experience with Air Force contracting systems (ACPS, legacy SPS)
  • Experience with feeder systems (DEAMS, ABSS, CLS, EDA, FPDS, PIEE, PDS Validation Service, PMRT)
  • Familiarity with data migration processes across legacy DoD systems
  • Experience defining enterprise data frameworks, metadata standards, and reference architectures
  • Background working in PMO environments and supporting federal modernization initiatives
  • Experience collaborating with crossfunctional and vendor teams
  • Equal Employment Opportunity Statement

    HumanIT Solutions is an equal opportunity employer. We are committed to a work environment that supports, inspires and respects all individuals and provides equal opportunities to all applicants and employees without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, national or ethnic origin, age, disability, military service status, or any other protected characteristic as defined by law.