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Data Science Associate Jobs in Reedsville, OH (NOW HIRING)

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Data Science Associate information

See Reedsville, OH salary details

$48.8K

$57.7K

$109.5K

How much do data science associate jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data science associate in Reedsville, OH is $57,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $50,500.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Reedsville, OH as of June 2026, with employment types broken down into 2% As Needed, 77% Full Time, 18% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $57,734 per year, or $27.8 per hour.
Buyer III, Procurement Project Execution

Buyer III, Procurement Project Execution

Thermo Fisher Scientific

Marietta, OH • Hybrid

$22.25 - $29.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Position Summary

This role supports LED site procurement through a hybrid buyer and PMO-focused position. The role includes tactical purchasing and supplier follow-up support, with a primary focus on building project structure, operating rhythm, visibility, and follow-through for Marietta procurement initiatives.

This role offers the opportunity to help shape a new procurement project support model for the site. The successful candidate will help define processes, build project tracking tools, establish reporting cadence, clarify ownership, surface risks, and support timely execution of procurement-led projects.

The role supports initiatives such as MCP, VAVE, NPI, supplier transitions, ECRs, material changes, supplier recovery, cost savings actions, and other site procurement projects. This position partners with site buyers, Category, IEC, Engineering, Quality, Supply Chain, Finance, Procurement Enablement, suppliers, and site leadership.

Key Responsibilities

PMO / Procurement Project Support

  • Build and maintain project cadence for assigned procurement initiatives, including status reviews, action tracking, escalation tracking, and leadership updates.

  • Track project owners, actions, due dates, milestones, risks, blockers, next steps, and closure criteria.

  • Convert approved opportunities or open issues into structured action plans with clear ownership, timing, deliverables, and escalation paths.

  • Maintain project trackers, action logs, open-item lists, risk summaries, escalation summaries, and status reports.

  • Follow up with buyers, suppliers, Engineering, Quality, Finance, Supply Chain, IEC, Category, and Procurement Enablement to confirm status and keep work moving.

  • Maintain visibility to project inputs such as supplier quotes, lead times, cost impacts, inventory exposure, supplier readiness, documentation, implementation timing, and savings assumptions.

  • Identify stalled actions, unclear ownership, missed dates, or execution barriers and escalate with clear facts and recommendations.

  • Support project close-out by confirming implementation status, required documentation, savings timing, open risks, and handoff needs.

Buyer / Tactical Procurement Support

  • Support purchase order management in alignment with MRP demand, supplier lead times, and production needs.

  • Monitor open orders, supplier commitments, shortage risks, recovery timing, and material availability concerns.

  • Follow up with suppliers on late orders, confirmations, expedites, recovery plans, and routine purchasing issues.

  • Communicate supply risks, recovery timing, and escalation needs to procurement leadership and cross-functional partners.

  • Help resolve routine PO, invoice, pricing, receiving, quantity, and delivery discrepancies.

  • Support buyers with supplier follow-up, data requests, quote follow-up, and project-related purchasing actions as needed.

Basic Qualifications

  • Associate degree in Supply Chain, Business, Operations, Engineering, Finance, Project Management, or related field; equivalent experience may be considered.

  • Experience in purchasing, procurement, materials, supplier management, manufacturing support, project coordination, or related work.

  • Experience with ERP/MRP systems, supplier communication, purchase order management, reporting, or action tracking.

  • Strong communication, organization, problem-solving, and follow-through skills.

Preferred Qualifications

  • Experience in site procurement, PMO support, MCP, VAVE, NPI, ECR tracking, supplier recovery, supplier transition, or product transfer activity.

  • Experience building or improving project cadence, report-outs, action logs, trackers, escalation processes, or status-reporting tools.

  • Proficiency with Microsoft Excel, procurement reporting tools, project trackers, action logs, and status reporting.

Apply