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Data Scientist

Roles & Responsibilities

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field, or equivalent experience, plus 2–3 years of data science/analytics experience.
  • Experience with Salesforce and CXone; proficiency in Excel (pivot tables, formulas, charts) and BI tools (Tableau, Power BI, Looker, etc.).
  • Strong understanding of statistical concepts, model validation techniques, and ability to communicate complex data clearly to non-technical stakeholders; knowledge of call center metrics and workforce management concepts.
  • Preferred: experience in contact center/high-volume environments; SQL/database querying; familiarity with call center platforms (Genesys, Five9, Avaya, NICE, Talkdesk); experience with forecasting, staffing, or scheduling tools; ability to manage multiple reporting requests and prioritize deadlines.

Requirements:

  • Develop, test, and deploy predictive and statistical models; perform exploratory data analysis; apply machine learning techniques (regression, classification, clustering, time series forecasting); evaluate model performance and impact.
  • Extract, clean, and transform data from multiple sources; build reproducible data pipelines and structured datasets; ensure data integrity and governance.
  • Translate analytical findings into actionable recommendations; partner with WFM, operations, finance, and leadership to define analytical needs; support dashboards and executive-ready presentations.
  • Identify automation opportunities, recommend new tools or data sources, and stay current with emerging data science techniques and best practices.

Job description

About HireRight:

HireRight is the premier global background screening and workforce solutions provider. We bring clarity and confidence to vetting and hiring decisions through integrated, tailored solutions, driving a higher standard of accuracy in everything we do. Combining in-house talent, personalized services, and proprietary technology, we ensure the best candidate experience possible. We offer expertise from our regional centers across 200 countries and territories in The Americas, Europe, Asia, and the Middle East. Our commitment to get it right every time, everywhere, makes us the trusted partner of businesses and organizations worldwide.

Overview:

We are seeking a highly analytical and detail-oriented Data Scientist to support data-driven decision-making across the organization. This role focuses on building predictive models, generating actionable insights, and translating complex data into clear business recommendations. The ideal candidate combines strong technical skills with business acumen and a collaborative mindset.

Responsibilities:

Data Analysis & Modeling

  • Develop, test, and deploy predictive and statistical models to support operational and strategic initiatives.
  • Perform exploratory data analysis to identify trends, anomalies, and opportunities.
  • Apply machine learning techniques (regression, classification, clustering, time series forecasting) as appropriate.
  • Evaluate model performance and iterate for accuracy and business impact.


Data Engineering & Preparation

  • Extract, clean, and transform data from multiple sources (SQL databases, APIs, flat files).
  • Build reproducible data pipelines and structured datasets for analysis.
  • Ensure data integrity, quality, and governance standards are upheld.

 

Business Insights & Reporting

  • Translate analytical findings into clear, actionable recommendations.
  • Partner with WFM, operations, finance, and leadership teams to define analytical needs.
  • Support dashboard and reporting development in collaboration with BI resources.
  • Present findings to stakeholders in a concise, executive-ready format.

 

Continuous Improvement

  • Identify automation opportunities to reduce manual reporting.
  • Recommend new tools, methodologies, or data sources to enhance insights.
  • Stay current with emerging data science techniques and best practices.
Qualifications:
  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field or equivalent experience
  • 2–3 years of experience in data science, analytics, or a related role.
  • Experience with Salesforce and CXone
  • Proficiency in Excel (pivot tables, formulas, charts)
  • Experience with BI tools (Tableau, Power BI, Looker, etc.).
  • Strong understanding of statistical concepts and model validation techniques.
  • Ability to communicate complex data clearly to non-technical stakeholders.
  • Strong analytical and problem-solving skills, with attention to detail and accuracy.
  • Knowledge of call center metrics, operations, and workforce management concepts.

Preferred Skills

  • Experience in contact center, operations, or high-volume environments.
  • Experience with A/B testing and experimentation frameworks.
  • SQL or database query experience.
  • Familiarity with call center platforms (e.g., Genesys, Five9, Avaya, NICE, Talkdesk, etc.).
  • Experience with forecasting, staffing models, or scheduling tools.
  • Ability to manage multiple reporting requests and prioritize deadlines.
What do we offer:

HireRight offers a competitive benefit package which includes: 

 

  • Medical 
  • Dental 
  • Vision 
  • Paid Life/AD&D Insurance 
  • Voluntary Life Insurance 
  • Short & Long Term Disability 
  • Flexible Spending Accounts 
  • 401K 
  • Generous Vacation and Sick Program 
  • 10 Paid Holidays 
  • Education Assistance Program 
  • Business Casual Attire 
  • Generous Referral Program 
  • Employee Discounts and Rewards 
  • And much more! 

 

*All resumes are held in confidence. Only candidates whose profiles closely match requirements will be contacted during this search.

HireRight, LLC is an Equal Opportunity Employer
Minorities / Females / Veterans / Disabilities

HireRight does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of HireRight and HireRight will not be obligated to pay a placement fee

 

This job description in no way states or implies that these are the only duties to be performed by a team member’s occupying this position. Team members may be required to perform other related duties as assigned, to ensure workload coverage. Team members are required to follow any other job-related instructions and to perform any other job-related duties requested by their supervisor. This job description does not constitute an employment agreement between the employer and team member and is subject to change by the employer as the organizational needs and requirements of the job change. This job description is subject to change at any time.

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