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 OverviewThe Associate Data Scientist is a core contributor within the Enterprise Data & Analytics team, responsible for solving well-defined analytical and machine learning problems through strong technical execution. You will work closely with senior data scientists and data engineers to support the development, validation, and implementation of models across use cases.The primary responsibility of the Associate Data Scientist is to execute well-defined analytical tasks and model development activities based on clear guidance and established workflows. The role emphasises accuracy, consistency, and disciplined validation of outputs, ensuring that models and analyses meet defined technical requirements. Over time, you will act as a foundation for developing more advanced analytical and problem-solving capabilities.What You Will DoAnalytical Modelling & Technical DeliveryDevelop, test, and implement statistical and machine learning models under guidance from senior team membersApply standard techniques such as regression, classification, clustering, and forecasting to pre-defined problem statementsEnsure models are reliable, interpretable, and aligned with defined objectivesExecution of Defined Analytical TasksWork on clearly defined analytical problem statements provided by senior team membersSupport hypothesis testing, feature engineering, and structured analysis under guidancePerform data cleaning, transformation, and preparation for modellingConduct exploratory data analysis to identify patterns, trends, and anomaliesAssess data quality issues and support data readiness for modellingValidate model performance using standard metrics and evaluation techniquesEnsure outputs are accurate, reproducible, and aligned with defined expectationsSupport testing and debugging of analytical modelsGain exposure to structured and unstructured data, including NLP and LLM-based techniquesSupport experimentation activities such as prompt execution, output validation, and model testingWork closely with data scientists and senior team members within the teamFollow coding standards, documentation practices, and defined development processesContribute to documentation of models, experiments, and outputsData Preparation & ExplorationModel Validation & Accuracy GenAI & Advanced Analytics Support Internal Collaboration & DocumentationEducation QualificationsBachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related fieldExperience0–1 year experience (fresh graduates encouraged to apply)Academic or internship experience in analytics/data science is a plusSkills and AbilitiesBasic proficiency in Python, R, or similar analytical programming languagesFoundational understanding of statistics and machine learningStrong attention to detail and focus on accuracyStructured thinking and problem-solving approachBasic understanding of model evaluation and interpretation conceptsCommitment to high professional and ethical standardsTravel RequirementsMinimal Travel RequiredWork EnvironmentWork in clean, pleasant, and comfortable office. 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.This position is 100% in office.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 India_Recruitment@Trinet.com to request such an accommodation.