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Associate Venture Capital Data Science Jobs Near Me

OCLC, Inc.

Associate Data Scientist

Dublin, OH · On-site

$56K - $57K/yr

As an Associate Data Scientist you will work with stakeholders throughout the organization to ... Create and maintain documentation for data science initiatives and data resources * Collaborate ...

Bread Financial

Lead Data Scientist

Columbus, OH · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... New associate elected coverage begins on date of hire (with the exception of disability coverage ...

Bread Financial

Lead Data Scientist

Columbus, OH · On-site

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... New associate elected coverage begins on date of hire (with the exception of disability coverage ...

Munich Re

Data Scientist

Columbus, OH · On-site +1

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

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How much do associate venture capital data science jobs pay per year?

As of Aug 13, 2026, the average yearly pay for associate venture capital data science in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

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Associate Venture Capital Data Science jobs near you
A map of the United States highlighting the number of Associate Venture Capital Data Science job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Associate Venture Capital Data Science job openings in each state, with California having the most at 2 and Alaska the least at 0.

Associate Data Scientist

OCLC, Inc.

Dublin, OH • On-site

$56K - $57K/yr

Full-time

Medical, Retirement

Posted 17 days ago

Job description

Together we make breakthroughs possible.
At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.
Why join OCLC?
OCLC is consistently recognized as a best place to work by several independent programs. We recognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions-performance, experience, and skills-along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.
  • We know the best ideas don't always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We're committed to your success-both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.
  • Free use of our on-site fitness center, gym sports, group exercise classes, and game room
  • Onsite catering and cafeteria subsidized by OCLC
  • Health and wellness events
  • Work environments with individual and team spaces and the latest technology tools
  • Paid parental leave and adoption assistance
  • Tuition reimbursement and Public Service Loan Forgiveness eligibility
  • Company-subsidized pricing on local tickets and memberships

Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.
The job details are as follows:
As an Associate Data Scientist you will work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
Responsibilities:
  • Maintain OCLC's data platform with up-to-date, quality data
  • Translate business problems to technical requirements to design rapid prototypes of reports and dashboards
  • Build and maintain data models, reports, dashboards, and KPI/metrics from internal databases
  • Write performant code that meets our internal standards for style, maintainability, and best practices for a high-scale data environment. Maintain and advocate for these standards through code review.
  • Perform exploratory data analysis for quality assurance, reporting, and to inform the development of statistical and machine learning models
  • Implement the DataOps philosophy in everything you do
  • Create and maintain documentation for data science initiatives and data resources
  • Collaborate with Data Scientists to drive efficiencies for their work

Requirements:
  • Bachelor's in a quantitative field (e.g., Engineering/CS/Math/Stats) + 2+ years in a data science role or Master's + 1+ year in a data science role
  • Proficient in SQL for data warehouses
  • Intermediate Python proficiency (pandas/numpy, scikit-learn; visualization with matplotlib/seaborn/plotly)
  • Experience applying statistical and machine learning methods; solid grounding in probability and statistical inference
  • Experience with hypothesis testing and designing/analyzing experiments
  • Exposure to cloud environments and software engineering best practices (e.g., Git, code reviews, testing)
  • Strong data storytelling and communication skills; comfortable working in agile, collaborative teams

Working Conditions: Normal office environment.
ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties

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