Associate Data Scientist at TriNet

Job Description

TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). TriNet enhances business productivity by enabling clients to outsource their HR function and focus on growing their core businesses. Services include payroll processing, human capital consulting, employment law compliance, and employee benefits.

Role 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.

Responsibilities:

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

Model Validation & Accuracy:
– 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

GenAI & Advanced Analytics Support:
– 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

Internal Collaboration & Documentation:
– 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

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 Required:
– 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