Associate Data Scientist

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 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 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 Do

Analytical Modelling & Technical Delivery

• Develop, test, and implement statistical and machine learning models under guidance from senior team members
• Apply standard techniques such as regression, classification, clustering, and forecasting to pre-defined problem statements
• Ensure models are reliable, interpretable, and aligned with defined objectives

Execution of Defined Analytical Tasks

• Work on clearly defined analytical problem statements provided by senior team members
• Support hypothesis testing, feature engineering, and structured analysis under guidance
• Perform data cleaning, transformation, and preparation for modelling
• Conduct exploratory data analysis to identify patterns, trends, and anomalies
• Assess data quality issues and support data readiness for modelling
• Validate model performance using standard metrics and evaluation techniques
• Ensure outputs are accurate, reproducible, and aligned with defined expectations
• Support testing and debugging of analytical models
• Gain exposure to structured and unstructured data, including NLP and LLM-based techniques
• Support experimentation activities such as prompt execution, output validation, and model testing
• Work closely with data scientists and senior team members within the team
• Follow coding standards, documentation practices, and defined development processes
• Contribute to documentation of models, experiments, and outputs

Data Preparation & Exploration

Model Validation & Accuracy

GenAI & Advanced Analytics Support

Internal Collaboration & Documentation

Education Qualifications

• Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field

Experience

• 0–1 year experience (fresh graduates encouraged to apply)
• Academic or internship experience in analytics/data science is a plus

Skills and Abilities

• Basic proficiency in Python, R, or similar analytical programming languages
• Foundational understanding of statistics and machine learning
• Strong attention to detail and focus on accuracy
• Structured thinking and problem-solving approach
• Basic understanding of model evaluation and interpretation concepts
• Commitment to high professional and ethical standards

Travel Requirements

• Minimal Travel Required

Work Environment

• Work 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_[email protected] to request such an accommodation.

• Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
• 0–1 year experience (fresh graduates encouraged to apply)
• Basic proficiency in Python, R, or similar analytical programming languages
• Foundational understanding of statistics and machine learning
• Strong attention to detail and focus on accuracy
• Structured thinking and problem-solving approach
• Basic understanding of model evaluation and interpretation concepts
• Commitment to high professional and ethical standards
• Academic or internship experience in analytics/data science