Job description

TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers’ compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you’re passionate about innovation and making an impact on the large SMB market, come join us as we power our clients’ business success with extraordinary HR. Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So, if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody’s perfect – and we encourage you to apply. You may just be the right candidate for this or other roles. A Brief Overview The Senior Data Scientist has an intimate knowledge of business objectives and works with leadership to provide data science solutions that apply to cross functional teams roadmap. They will develop and code software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Incumbents are tasked with identifying meaningful insights from large data and metadata sources; and interpreting and communicating insights and findings from analysis and experiments to product, service, and business managers. The senior data scientist will mentor team members to cultivate the skills and knowledge necessary to contribute to business needs and create a data driven culture. This role will prepare and deliver results to stakeholders and facilitate the deployment of models to production systems. What you will do • Data Science & Modeling • Design, develop, validate, and deploy statistical models, machine learning solutions, and advanced analytics to address complex business challenges. • Translate business requirements into analytical approaches, model outputs, and actionable recommendations. • Perform exploratory data analysis, feature engineering, model development, and performance evaluation with minimal guidance. • Identify data gaps and recommend additional data sources to improve analytical outcomes. • Evaluate modeling tradeoffs and select appropriate methodologies based on business needs, scalability, and model performance. • Stay current on emerging data science, machine learning, and AI technologies and apply them when appropriate. Technical Delivery • Lead the execution of complex data science projects from problem definition through implementation, monitoring, and optimization. • Develop project plans, timelines, and milestones to ensure successful delivery of analytical solutions. • Perform model testing, validation, and performance monitoring to maintain solution effectiveness and reliability. • Identify and resolve analytical, data quality, and model performance issues. • Recommend improvements to data science processes, tools, and model development practices. Collaboration & Business Partnership • Partner with business stakeholders, product teams, and technical teams to define requirements and develop data-driven solutions. • Apply business knowledge and analytical expertise to solve operational and strategic challenges. • Present data-driven recommendations that support decision-making and business objectives. • Collaborate across teams to deliver scalable and impactful analytical solutions. Communication • Effectively communicate analytical findings, model results, and technical concepts to technical and non-technical audiences. • Prepare and maintain documentation, reports, and presentations to support knowledge sharing and solution adoption. • Identify risks, assumptions, and requirements gaps and recommend practical solutions. Mentorship & Team Contribution • Provide guidance, coaching, and knowledge sharing to junior data scientists and analysts. • Contribute to the adoption of data science best practices, modeling standards, and governance processes. • Support a collaborative culture focused on continuous learning, innovation, and operational excellence. Additional Responsibilities • Perform other duties as assigned. • Comply with all company policies, procedures, and standards. Additional Responsibilities • Perform other duties as assigned. • Comply with all company policies, procedures, and standards. Education Qualifications • Master's Degree or equivalent experience preferred Experience Qualifications • Typically 5+ years Skills and Abilities • • Strong knowledge of statistical analysis, machine learning, predictive modeling, and data science methodologies. • Proficiency in Python and SQL, with experience using machine learning and analytics tools and libraries. • Experience developing, deploying, and monitoring analytical models and data science solutions. • Ability to work with large, complex datasets using cloud-based and modern data platforms • Strong analytical and problem-solving skills, with the ability to translate business needs into actionable insights and technical solutions. • Ability to independently manage complex projects and make sound decisions regarding analytical approaches and model design. • Experience conducting experimentation, model validation, and performance measurement. • Effective communication and presentation skills, with the ability to explain technical concepts to both technical and non-technical audiences. • Ability to build collaborative partnerships across teams and provide guidance and mentorship to less experienced team members. • Knowledge of data governance, privacy, security, and responsible AI practices. • Experience with data visualization and reporting tools such as Tableau, Power BI, or similar platforms. • Demonstrated ability to manage multiple priorities in a fast-paced environment while maintaining professionalism, integrity, and confidentiality. Travel Requirements Minimal Work Environment • Work in clean, pleasant, and comfortable office or home setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. The preferred location for this role is Atlanta, GA, and the salary range for this location is $100,800.00 to $189,000.00. All qualified external applicants will be considered for an in-office role, based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the company’s discretion. The candidate’s final salary offer will be based on the candidate’s skills, education, work location and experience. A candidate’s compensation may also include bonuses consistent with TriNet’s corporate bonus plan. Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings: trinet.com Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity. TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact recruiting@trinet.com to request such an accommodation.

Requirements

Must-haves

A Brief Overview
Data Science & Modeling
Design, develop, validate, and deploy statistical models, machine learning solutions, and advanced analytics to address complex business challenges.
Translate business requirements into analytical approaches, model outputs, and actionable recommendations.
Perform exploratory data analysis, feature engineering, model development, and performance evaluation with minimal guidance.
Identify data gaps and recommend additional data sources to improve analytical outcomes.
Evaluate modeling tradeoffs and select appropriate methodologies based on business needs, scalability, and model performance.
Stay current on emerging data science, machine learning, and AI technologies and apply them when appropriate.
Technical Delivery
Lead the execution of complex data science projects from problem definition through implementation, monitoring, and optimization.
Develop project plans, timelines, and milestones to ensure successful delivery of analytical solutions.
Perform model testing, validation, and performance monitoring to maintain solution effectiveness and reliability.
Identify and resolve analytical, data quality, and model performance issues.
Recommend improvements to data science processes, tools, and model development practices.
Collaboration & Business Partnership
Partner with business stakeholders, product teams, and technical teams to define requirements and develop data-driven solutions.
Apply business knowledge and analytical expertise to solve operational and strategic challenges.
Present data-driven recommendations that support decision-making and business objectives.
Collaborate across teams to deliver scalable and impactful analytical solutions.
Communication
Effectively communicate analytical findings, model results, and technical concepts to technical and non-technical audiences.
Prepare and maintain documentation, reports, and presentations to support knowledge sharing and solution adoption.

Nice-to-haves

Master's Degree or equivalent experience preferred
A candidate’s compensation may also include bonuses consistent with TriNet’s corporate bonus plan.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaipythonsql

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Pto