264 Data Scientist jobs in Ohio

Data Scientist

Location: Dayton, OH, US

Job ID: ATR 17613

Job Description

Job Title: Data Scientist

Location: Dayton, OH

Eligibility: Candidate must possess a TS/SCI clearance and be willing to

obtain a CI Polygraph

Job Description:

We are seeking a mission-focused Data Scientist to support research and

development initiatives related to Space Domain Awareness (SDA). Based

in Dayton, this role will contribute toanalytic tools,data fusion

techniques, andalgorithm developmentthat enhance the nation's ability

to monitor and interpret activity in the space environment.

The ideal candidate will bring experience working with large,

multi-source datasets, particularly in support oforbital object

tracking,threat characterization, orsensor-driven space intelligence

and will be comfortable operating in a cleared, R&D-focused environment.

Key Responsibilities:

• Applydata science methods(ML, statistical modeling, time-series

analysis) to space-based and ground-based observation data

• Support prototype development and exploratory analysis for SDA

workflows and sensor analytics

• Integrate, clean, and fuse diverse datasets such assatellite

telemetry, radar, EO/IR, and SIGINT

• Collaborate with R&D teams, analysts, and mission engineers to shape

SDA solutions

• Contribute to performance evaluation of algorithms and models under

real-world conditions

• Communicate findings clearly through technical reports, dashboards,

and briefings

Required Qualifications:

• ActiveTS/SCI clearancewith ability to obtain CI Polygraph

• Background withSDA concepts, orbital mechanics, or satellite

tracking

• Knowledge of space threat characterization or SDA mission

architecture

• Proficiency inPythonand common data science libraries (e.g.,

NumPy, pandas, scikit-learn, matplotlib)

• Experience withJupyter, version control (Git), and secure

development workflows

• Strong communication skills and ability to interface with technical

and operational personnel

• Mid Level Candidates: B.A./B.S. Degree and 4+ years of experience

applying data science techniques to mission-relevant datasets

• Senior Level Candidates: B.A./B.S. Degree and 10+ years of

experience paplying data science techniques to mission-relevant

datasets

Preferred Qualifications:

• Experience supporting NGA, NASIC, or other IC/DoD space mission

partners

• Familiarity with Kalman filters, sensor modeling, or object state

estimation

• Knowledge of space threat characterization or SDA mission

architecture

• Foundation GEOINT knowledge (A GEOINT foundational layer includes

essential datasets like precise imagery, topography, gravity and

magnetic models, geodetic surveys, navigational features, and

human‑geography layers that enable integration and analysis across

disciplines and mission contexts)

• Experience with containerization (Docker), cloud environments, or

HPC workflows

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• Possess deep knowledge and understanding of your data domain/asset
• Be a subject matter expert of our offerings and solutions
• Collaborate on data discovery for new/existing data (internal, Kroger, 3rd party, etc.), including data queries/analysis using various tools (e.g. PySpark, BigQuery, SQL, etc.) in partnership with data science team members to determine usability
• Learn statistical and analytical techniques we leverage on large datasets to uncover insights that shape better business decisions
• Assist connection and relationship back to source stakeholders/vendor (internal and/or external)
• Manage projects from beginning to end encompassing data gathering, applied methodology, insight generation and partnering on delivery to clients
• Proactively drive continuous improvement in the form of more automated processes, better methodology, and data visualization that leads to clearer, more actionable insights
• Proactively manage the development of best practice and knowledge management. Champion the capture and sharing of knowledge across the data science community.

• The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
• Below is a list of some of the benefits we offer our associates:
• Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
• Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
• Happiness: Hybrid work environment. Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Make banking a Fifth Third better®

We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.

*This position is not available for immigration sponsorship. Do you have a passion for AI and Machine Learning and a desire to create a positive impact in the world? Come help us delight customers and transform financial services using AI and Machine Learning at Fifth Third! We are seeking applied AI scientists and engineers with diverse backgrounds to help make banking a Fifth Third better. About Fifth Third Fifth Third is a bank that’s as long on innovation as it is on history. Since 1858, we’ve been helping individuals, families, businesses, and communities grow through smart financial services that improve lives. Our list of firsts is extensive, and it’s one that continues to expand. Fifth Third is one of the few U.S.-based banks to have been named among Ethisphere’s World’s Most Ethical Companies® for several years. With a commitment to taking care of our customers, employees, communities and shareholders, our goal is not only to be the nation’s highest performing regional bank, but to be the bank people most value and trust. Did you know Fifth Third’s commercial payments business currently processes $17 trillion in annual payments volume and serves 25% of the Fortune 100? For decades, the Bank has delivered innovative solutions and scalable technology to consumers and businesses alike: we pioneered the ATM network and enabled some of the first e-commerce transactions on the planet. At Fifth Third, you will have the opportunity to continue in this tradition of innovation by applying data science and AI to a variety of business applications from lending to fraud to operations and customer service. About The Job The successful applicant will be curious, driven, and have a keen attention to detail and passion for all things data and analytics. You will have completed coursework in computer science, statistics, machine learning, data science and AI. You will be familiar with good software engineering practices. On the job, you will prepare data and build models to improve business outcomes using cutting edge machine learning methods, pretrained models, and open-source tools, and contribute to a growing library of reusable code that enables us to accelerate our AI journey. Our data science team drives highly impactful business outcomes such as reducing losses from bad loans, deciding where to build our next retail banking center, efficiently acquiring profitable customers that bring billions of deposits, ensuring our data-driven methods are equitable and fair to everyone, and automating loan operations and customer service to delight customers and drive efficiencies. This is an opportunity to leverage cutting edge data science to drive significant business outcomes and to have a scaled impact in our communities. Data scientists are expected to strive for excellence in methods and outcomes, innovate and push the envelope of what is possible using AI and machine learning in financial services, and openly exchange ideas and opinions with a vibrant community of hundreds of quantitative analysts across the bank. ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Gather and prepare data for analysis/modeling, including unstructured and structured data, including: tabular data, text, maps, images, voice, video, etc.

• Develop data processing, model development and inference pipelines in python leveraging open source tools such as pandas and scikit-learn

• Understand modeling algorithms and methods: how the learning algorithms work, which ones to use for which task, and how to debug and fix them when you don’t get the outcomes you want

• Leverage predictive modeling techniques for applications such as classification, regression and sequence modeling, including ensemble methods that combine e.g., LLM embeddings with more traditional supervised methods

• Perform evaluations to establish the efficacy and stability/reliability of model outputs

• Document the model development process for risk management partners who ensure what we develop will pass muster with regulators

• Leverage web services, containers, and cloud services to deploy and manage models

• Develop and automate robust reporting and model monitoring methods

• Contribute to a growing codebase of reusable python code that enables us to accelerate our application of advanced analytics

• Partner with key stakeholders to understand business needs and formulate, communicate and create buy-in for analytics approaches and solutions

• Transform unstructured problems into structured plans, including plans for investigations and experiments to move the data science application from idea to successful implementation with progressively more convincing evidence

• Successfully collaborate with others to bring your idea to life in production where it can positively impact millions of consumers and businesses

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:

• Voracious curiosity and a passion for applied statistics and data science

• Fluent in python, pandas, scikit-learn, SQL, statistics

• Practical experience applying AI/ML: project work, practicum, research or job experience

• Bachelor's degree in a quantitative field such as Computer Science, Mathematics, Statistics, Economics, Physics (where AI/ML and predictive modeling played a central role in coursework and research); Advanced degrees preferred but not required

• Ability to understand and implement cutting edge methods published in conferences and journal preferred but not required

• Excellent written and oral communications skills

• Focus on outcomes, able to effectively manage time, independent and highly self-motivated

At Fifth Third Bank, we understand the importance of rewarding our employees for their hard work and dedication, therefore, our Total Rewards offering includes a differentiated compensation package and comprehensive benefits.Benefits:Our benefits programs are designed to support the health, happiness, and financial well-being of our employees and their families. Your benefits will include access to comprehensive medical, dental, and vision coverage, a 401(k) plan and employee stock purchase plan that both offer a generous employer match, flexible paid time off, comprehensive leave programs, and unique benefits to support your overall mental and physical wellness. For additional details, please contact your recruiter. The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the US. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance.

Data Scientist

Total Base Pay Range 80,500.00 - 169,100.00 USD Annual

LOCATION -- Cincinnati, Ohio 45202

Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.

Make banking a Fifth Third better
We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.

• Gather and prepare data for analysis/modeling, including unstructured and structured data, including: tabular data, text, maps, images, voice, video, etc.

• Develop data processing, model development and inference pipelines in python leveraging open source tools such as pandas and scikit-learn

• Understand modeling algorithms and methods: how the learning algorithms work, which ones to use for which task, and how to debug and fix them when you don't get the outcomes you want

• Leverage predictive modeling techniques for applications such as classification, regression and sequence modeling, including ensemble methods that combine e.g., LLM embeddings with more traditional supervised methods

• Perform evaluations to establish the efficacy and stability/reliability of model outputs

• Document the model development process for risk management partners who ensure what we develop will pass muster with regulators

• Leverage web services, containers, and cloud services to deploy and manage models

• Develop and automate robust reporting and model monitoring methods

• Contribute to a growing codebase of reusable python code that enables us to accelerate our application of advanced analytics

• Partner with key stakeholders to understand business needs and formulate, communicate and create buy-in for analytics approaches and solutions

• Transform unstructured problems into structured plans, including plans for investigations and experiments to move the data science application from idea to successful implementation with progressively more convincing evidence

• Successfully collaborate with others to bring your idea to life in production where it can positively impact millions of consumers and businesses

• Voracious curiosity and a passion for applied statistics and data science

• Fluent in python, pandas, scikit-learn, SQL, statistics

• Practical experience applying AI/ML: project work, practicum, research or job experience

• Bachelor's degree in a quantitative field such as Computer Science, Mathematics, Statistics, Economics, Physics (where AI/ML and predictive modeling played a central role in coursework and research); Advanced degrees preferred but not required

• Ability to understand and implement cutting edge methods published in conferences and journal preferred but not required

• Excellent written and oral communications skills

• Focus on outcomes, able to effectively manage time, independent and highly self-motivated

At Fifth Third, we understand the importance of recognizing our employees for the role they play in improving the lives of our customers, communities and each other. Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day.

The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance.

Our extensive benefits programs are designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well-being.You can learn more about those programs on our 53.com Careers page at: or by consulting with your talent acquisition partner.

Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.

Summary:

Meta is seeking a highly skilled and motivated Data Scientist to join our Infrastructure Data Centers team. As a lead data scientist, you will partner with stakeholders, program managers, and other data science functions to translate Meta’s Infrastructure Data Centers’ data into value. You will have the opportunity to work on a wide range of data science projects, such as developing an analytics program to drive operational efficiency, conducting strategic analysis to facilitate decision making, measuring Machine Learning models and automation to increase predictive accuracy and reduce manual effort, and working with software developers to build analytical solutions.The ideal candidate will have a passion for working in ambiguous environment and creating impact from the ground up in a fast-paced environment. Additionally, you will have a proven track record of thought leadership and impact in developing similar analytics programs and machine learning solutions. This position is part of the Infrastructure Data Centers organization.

Required Skills:

Data Scientist Responsibilities:

1. Collaborate with cross-functional data and business teams to define problems, analyze impacts, identify opportunities, and develop solutions that improve decision-making and efficiency.

2. Translate business challenges into data-driven problems and design appropriate data science solutions, including metrics and analytics, business intelligence, experimentation

3. Identify operational gaps, build analytical models to derive insights, and support decision-making across organizational leadership.

4. Design and implement statistical models such as hypothesis testing, forecasting, statistical process control, and simulation to influence critical business decisions and Data Center operations.

5. Utilize expertise in statistics, machine learning, optimization, and automation to develop analytics solutions.

6. Work closely with stakeholders, data engineers, and program/product managers to ensure seamless progress.

7. Educate and influence stakeholders to enhance operational efficiency with empathy.

8. Recommend process improvements based on operational data and user behavior to boost business performance.

9. Mentor team members on data science best practices.

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

2. 6+ years of experience (2 years+ of experience post Ph.D.) with advanced SQL in big data environments (e.g., Hive, Presto, Spark) and data modeling.

3. 6+ years of experience (2 years+ of experience post Ph.D.) managing and analyzing large-scale data using Python, R, or similar languages.

4. 6+ years of experience (2 years+ of experience post Ph.D.) of working with visualization tools such as Tableau, PowerBI, or similar.

5. 6+ years experience (2 years+ of experience post Ph.D.) analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders.

6. Experience in enhancing data collection procedures, data processing, cleansing, and verifying the integrity of data used for analysis

7. Proven track record of managing and leading cross-functional projects and teams.

8. Solid understanding of machine learning techniques and algorithms.

9. Hands-on programming experience in one or more of: AI/ML, LLM, NLP, Statistical modeling.

10. Proficient in statistical analysis and experimental design.

Preferred Qualifications:

Preferred Qualifications:

1. Technical knowledge of data center operations

2. Masters degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research, or a related analytical field.

3. Knowledge of simulation and optimization techniques

4. Great communication and storytelling skills to influence all organizational levels (engineers, executives and cross functional teams) to drive business decisions

Public Compensation:

$145,000/year to $204,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Job DescriptionJob Description

Data Scientist

Position Summary:

Position Description:

Data Scientist

Location:

Wright-Patterson AFB, Dayton, OH

Work Posture:

Hybrid

Travel:

Occasional

Deployment:

No

Drug screening:

Yes

Security Clearance:

Citizenship:

Top Secret

Must be a U.S.

Desired Education

Master's degree or higher in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field OR equivalent professional or military experience.

Desired Experience

• 10 + of professional and technical experience as a Data Architect, Data Engineer, or related role developing data models and architectural solutions at the enterprise level.
• Ten or more years of experience designing, developing, and implementing business applications from business concept through to production.
• Ten or more years of experience designing and implementing large-scale solutions that empower business data and enterprise information and data solutions
• Data Scientist with Expert level knowledge of developing and using data standards comprising common formats, representation, definition, structuring, manipulation, tagging, transmission, use, and management of data.
• Ten or more years of experience working with data programming (Python, Java, SQL, etc.) and data orchestration and integration pipelines.
• Ten or more years of experience with cloud computing platforms similar to Amazon Web Services, Azure or equivalent.
• Data Scientist with Demonstrated math and analytical skills.
• Data Scientist with strong consulting and communication skills.
• Ten or more years of experience with software development lifecycle including Agile and traditional project management and delivery methodologies.
• Data Scientist with Ability to define, maintain, and manage architecture models and artifacts (e.g. current and future state application architecture diagrams, data models, etc.).
• Data Scientist with Knowledge of DoD, Intelligence Community (IC), and interagency organizations and their functional relationships, programs, and policies.
• Data Scientist with Specific experience leading groups, negotiating compromises, and influencing key leaders, customers and stakeholders involving problems or public policy issues that have great sensitivity, including or international consequence.

Salary:

Commensurate with experience

Responsibilities:

SANCORP is seeking a Data Scientist to support the Air Force Research Laboratory through the Chief Digital and Artificial Intelligence Office (CDAO). The following are examples of responsibilities:

• Design and implement AI/ML models tailored to defense use cases, ensuring alignment with mission objectives and operational constraints
• Lead development and refinement of data pipelines to support end-to-end model training, validation, and deployment in secure environments
• Conduct deep data analysis, applying machine learning, statistical inference, and simulation to derive insights from complex, multi-source datasets
• Evaluate and mitigate risks associated with adversarial AI, including vulnerability testing, bias detection, and model hardening strategies
• Collaborate with cybersecurity and DevSecOps teams to embed security measures across the AI development lifecycle, enabling secure and resilient model deployment
• Support Authority to Operate (ATO) efforts by documenting AI models and data workflows in accordance with DoD and CDAO compliance standards
• Contribute to cyber analytics, modeling patterns in threat detection, anomaly classification, and decision support tools for cyber operators
• Assist in developing AI Ops pipelines, ensuring continuous integration, delivery, and monitoring of AI models under mission-driven conditions
• Translate operational requirements into mathematical models, simulations, or predictive systems supporting defense scenarios
• Participate in the testing and evaluation (DT&E/OT&E) of models and algorithms, validating performance and mission suitability under realistic conditions
• Communicate complex analytical findings through visualizations, briefings, and technical documentation for stakeholders and senior leadership
• Lead or contribute to multidisciplinary teams, integrating data science with software engineering, cybersecurity, and domain-specific experts to build deployable capabilities

Sancorp Consulting LLC shall, in its discretion, modify or adjust the position to meet Sancorp’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate at Sancorp’s sole discretion.

Sancorp Consulting, LLC, is an SDVOSB and SBA 8(a) company seeking highly motivated and qualified professionals and offer an attractive salary and benefits package that includes: Medical, Dental, life and Insurance; 401K, and holidays to ensure the highest quality of life for our employees. Please visit our website for more information at

Sancorp Consulting, LLC is an equal opportunity employer. At Sancorp Consulting, LLC we are committed to providing equal employment opportunities (EEO) to all employees and applicants without regard to , , , , , , or any other protected characteristic as defined by applicable law. We strive to create an inclusive and diverse workplace where everyone feels valued, respected, and supported.

The Data Scientist will play a critical role in advancing United Way's mission by leveraging data to inform decisions, evaluate programs, and optimize organizational performance. This role will conceive, design, and execute advanced analyses of programs and operations, provide expert guidance on testing and analytical frameworks, and translate complex findings into actionable insights for stakeholders. As a thought leader in data-driven strategy, this position will collaborate across teams to build analytical capacity, establish best practices for experimentation and evaluation, and support the integration of evidence-based decision-making into United Way's work. Through rigorous analysis and clear, compelling presentation of results, this role will help ensure that investments, initiatives, and operations are guided by robust data insights that drive measurable impact across the region.

This role is in-office four days per week with the option to work remotely one day per week. Our regional office is located in Cincinnati, OH. We do not fund relocations.

KEY AREAS OF RESPONSIBILITY:

• Design and Execute Analytical Projects: Lead the end-to-end process of conceiving, scoping, and executing advanced statistical analyses to evaluate United Way programs, operations, and community impact initiatives.
• Develop and Maintain Data Pipelines: Build and optimize data pipelines and workflows in Microsoft Fabric to ensure timely, accurate, and scalable access to program, operations, and partner data.
• Conduct Statistical Testing and Experimentation: Establish and guide frameworks for testing and evaluation, including A/B tests, quasi-experimental methods, and other analytical approaches to assess program efficacy and inform operational decisions.
• Create Insightful Reports and Dashboards: Translate complex analytical results into accessible, actionable insights through Power BI dashboards, written reports, and presentations tailored for internal leaders, partners, and funders.
• Collaborate with Cross-Functional Teams: Partner closely with program, operations, and leadership teams to define analytical needs, interpret findings, and embed data-driven thinking into decision-making and strategy.
• Establish Best Practices and Frameworks: Provide guidance on analytical methodologies, data quality, and reporting standards to build organizational capacity and ensure rigor and consistency in data use.
• Mentor and Support Data Skills Development: Serve as a resource and mentor for staff and partners, offering training and guidance to enhance their understanding and use of data in their work.
• Drive Continuous Improvement: Identify opportunities to improve data collection, integration, and reporting processes that strengthen UWGC's ability to measure outcomes, demonstrate impact, and optimize operations.

• 3-5 years of hands-on experience conducting applied analysis, transforming raw data into actionable insights that directly inform decisions or outcomes.
• Strong skills in statistical analysis and data manipulation, with proficiency in Python (including libraries scikit-learn, scipy, etc.) and SQL (data extraction, transformation, and schema definition).
• Commitment to staying hands-on with data and analytical work while also elevating organizational data literacy and rigor.
• Demonstrated ability to communicate complex findings clearly and effectively, both in written reports and oral presentations tailored to technical and non-technical audiences.
• Experience guiding analytical conversations, proactively identifying methodological pitfalls, and constructively educating colleagues to foster sound, evidence-based thinking.
• Proven ability to independently conceive, scope, and execute analytical projects without prescriptive direction, demonstrating initiative and problem-solving acumen.
• Collaborative mindset with the ability to build credibility as an analytical leader and influence decisions through well-reasoned, data-driven recommendations.

• Master's degree in Statistics, Mathematics, Computer Science, Engineering, or another analytical field, or equivalent combination of education and direct analytical experience.
• Working knowledge of Microsoft cloud services (e.g., Microsoft Fabric, Azure) and related tools used for data integration, analysis, and reporting.
• Broad analytical experience spanning multiple domains-such as marketing analytics, operational analysis, and program evaluation-demonstrating adaptability and the ability to apply analytical methods across varied contexts.
• Familiarity with Power BI, Tableau or similar business intelligence tools for developing dynamic dashboards and data visualizations.
• Experience working in mission-driven or nonprofit environments is a plus, particularly with an understanding of social impact measurement and community-focused outcomes.
• Ability to balance deep technical skills with strategic thinking, integrating rigorous analytics into practical recommendations that drive organizational and community impact.

• Generous paid time off including vacation, personal, sick, and holiday time
• Flexible work schedule with one remote workday per week
• Medical, Dental, Vision, Life Insurance, 403b plan with company match
• Short-Term & Long-Term Disability Insurance
• Employee Assistance Program and access to other free health programs
• Community volunteer opportunities
• Professional development and training opportunities

Akkodis is seeking a Data Scientist for a Contract job with a client in Columbus, OH(Hybrid) . The ideal candidate will have expertise in data modeling, SQL, and Python, with a proven ability to collaborate across teams and optimize database performance. Strong communication skills and experience in the insurance or financial domain are preferred.

Rate Range: $60/hour to $0/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.

Data Scientist job responsibilities include:

• Analyzing large datasets to extract meaningful insights.
• Developing and implementing machine learning models.
• Collaborating with cross-functional teams to understand business needs.
• Cleaning, processing, and organizing raw data for analysis.
• Communicating results and recommendations to stakeholders.

• Bachelor's or master's degree in computer science, Data Science, or a related field.
• 3+ years of experience in data science or analytics.
• Proficiency in Python, R, and machine learning frameworks.
• Strong experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with cloud platforms (e.g., AWS, Azure).
• Experience working with large datasets and big data technologies.

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