Associate Data Scientist
Key Skills for This Role
Full Job Posting
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 [email protected] to request such an accommodation.
Preferred Qualifications
- Academic or internship experience in analytics/data science is a plus
About TriNet
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