{"id":2428275,"url":"https://alion.io/job/trinet-senior-data-scientist-3","title":"Senior Data Scientist","company":{"id":1462,"name":"TriNet","domain":"trinet.com","url":"https://alion.io/company/trinet","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100800,"max":189000,"currency":"USD","period":"year","gross":null,"usd_annual":189000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-08-21T13:13:43Z","employer_posted_date":"2026-08-21","last_verified_at":"2026-10-13T11:54:57Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"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.\nTriNet 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.\nDon'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.\nA Brief Overview\nThe 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.\nWhat you will do\nData Science & Modeling\nDesign, develop, validate, and deploy statistical models, machine learning solutions, and advanced analytics to address complex business challenges.\nTranslate business requirements into analytical approaches, model outputs, and actionable recommendations.\nPerform exploratory data analysis, feature engineering, model development, and performance evaluation with minimal guidance.\nIdentify data gaps and recommend additional data sources to improve analytical outcomes.\nEvaluate modeling tradeoffs and select appropriate methodologies based on business needs, scalability, and model performance.\nStay current on emerging data science, machine learning, and AI technologies and apply them when appropriate.\nTechnical Delivery\nLead the execution of complex data science projects from problem definition through implementation, monitoring, and optimization.\nDevelop project plans, timelines, and milestones to ensure successful delivery of analytical solutions.\nPerform model testing, validation, and performance monitoring to maintain solution effectiveness and reliability.\nIdentify and resolve analytical, data quality, and model performance issues.\nRecommend improvements to data science processes, tools, and model development practices.\nCollaboration & Business Partnership\nPartner with business stakeholders, product teams, and technical teams to define requirements and develop data-driven solutions.\nApply business knowledge and analytical expertise to solve operational and strategic challenges.\nPresent data-driven recommendations that support decision-making and business objectives.\nCollaborate across teams to deliver scalable and impactful analytical solutions.\nCommunication\nEffectively communicate analytical findings, model results, and technical concepts to technical and non-technical audiences.\nPrepare and maintain documentation, reports, and presentations to support knowledge sharing and solution adoption.\nIdentify risks, assumptions, and requirements gaps and recommend practical solutions.\nMentorship & Team Contribution\nProvide guidance, coaching, and knowledge sharing to junior data scientists and analysts.\nContribute to the adoption of data science best practices, modeling standards, and governance processes.\nSupport a collaborative culture focused on continuous learning, innovation, and operational excellence.\nAdditional Responsibilities\nPerform other duties as assigned.\nComply with all company policies, procedures, and standards.\nAdditional Responsibilities\nPerform other duties as assigned.\nComply with all company policies, procedures, and standards.\n\nEducation Qualifications\nMaster's Degree or equivalent experience preferred\nExperience Qualifications\nTypically 5+ years\nSkills and Abilities\nStrong knowledge of statistical analysis, machine learning, predictive modeling, and data science methodologies.\nProficiency in Python and SQL, with experience using machine learning and analytics tools and libraries.\nExperience developing, deploying, and monitoring analytical models and data science solutions.\nAbility to work with large, complex datasets using cloud-based and modern data platforms\nStrong analytical and problem-solving skills, with the ability to translate business needs into actionable insights and technical solutions.\nAbility to independently manage complex projects and make sound decisions regarding analytical approaches and model design.\nExperience conducting experimentation, model validation, and performance measurement.\nEffective communication and presentation skills, with the ability to explain technical concepts to both technical and non-technical audiences.\nAbility to build collaborative partnerships across teams and provide guidance and mentorship to less experienced team members.\nKnowledge of data governance, privacy, security, and responsible AI practices.\nExperience with data visualization and reporting tools such as Tableau, Power BI, or similar platforms.\nDemonstrated ability to manage multiple priorities in a fast-paced environment while maintaining professionalism, integrity, and confidentiality.\n\nTravel Requirements\nMinimal\nWork Environment\nWork 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.\nThe 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.\nA candidate’s compensation may also include bonuses consistent with TriNet’s corporate bonus plan.\nAdditionally, 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: https://www.trinet.com/documents/blt5b61a1040aae1904\nPlease 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.\nTriNet 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. 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