Data Scientist

Title: Data Scientist

Location: Remote US

Duration:12 months

Compensation: $55-75/hr

Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. No sponsorship available

ABOUT THIS FEATURED OPPORTUNITY


We are seeking a proactive, technically strong Data Scientist to support a Scaled Operations organization focused on global vendor operations, including content moderation, workforce planning, and operational performance.


This role will work across both Data Science and Data Engineering, with a focus on analyzing operational data, developing performance benchmarks, maintaining dashboards, and troubleshooting vendor-facing data challenges.


A key area of focus will be processes surrounding Average Handling Time (AHT)-analyzing how long specific vendor tasks should take, working with the underlying data and dashboards, partnering with vendor stakeholders, and establishing and publishing updated benchmarks.

THE OPPORTUNITY FOR YOU


In this role, you will:

• Analyze operational datasets to identify trends, performance gaps, anomalies, and opportunities for improvement.
• Support measurement and benchmarking initiatives, including AHT and task-level performance benchmarks.
• Build, maintain, and analyze dashboards used to monitor vendor and operational performance.
• Partner with vendor managers and cross-functional stakeholders to translate operational questions into data-driven insights and recommendations.
• Establish, validate, and publish new operational benchmarks.
• Troubleshoot vendor-facing data challenges, including missing or inconsistent data, system discrepancies, permissions/access issues, and potential bugs.
• Support data engineering needs related to vendor data and operational reporting.
• Proactively identify additional issues, risks, and opportunities and independently drive work toward resolution.
• Leverage AI-enabled tools where appropriate while maintaining strong analytical judgment and understanding of the underlying data.

KEY SUCCESS FACTORS

• 3-5+ years of relevant industry experience in Data Science, Data Analytics, Analytics Engineering, Data Engineering, or a related field.
• Strong SQL and data analysis skills , including independently querying, manipulating, validating, and troubleshooting complex datasets.
• Dashboarding and operational measurement experience , including analyzing performance metrics and developing data-driven benchmarks.
• Working knowledge of data engineering concepts , with the ability to investigate missing or inconsistent data, permissions/access challenges, discrepancies, and potential bugs.
• Highly proactive, curious, and independent problem solver who can take an ambiguous request, determine what needs to be investigated, uncover additional problems or opportunities, and drive work forward with limited direction.

NICE TO HAVES

• Experience supporting scaled operations, vendor operations, workforce planning, content moderation, or other large-scale operational environments .
• Experience partnering directly with vendor managers or external-facing operational teams.
• Experience working in an environment where Data Science, Analytics, and Data Engineering responsibilities overlap .
• Experience using AI-enabled tools to improve analytical workflows while maintaining independent reasoning and validation.
• Experience within a large, complex technology or product organization.

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.


INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities. Applicants requiring reasonable accommodation during the application or interview process should contact View email address on click.appcast.io for assistance.


Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: . By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.


26-160191