Associate Data Scientist

TriNet Group, Inc is hiring for the role of Associate Data Scientist! Responsibilities of the Candidate: *]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" data-turn-id="request-6a460f4d-a004-83ee-8026-8353dd8b5616-9" data-turn-id-container="request-6a460f4d-a004-83ee-8026-8353dd8b5616-9" data-testid="conversation-turn-580" data-turn="assistant"> 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 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 Requirements Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field 0–1 year experience (fresh graduates encouraged to apply) Academic or internship experience in analytics/data science is a plus 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.