About the job
TriNet is hiring an Associate Data Scientist for its Enterprise Data & Analytics team in Hyderabad. This is an entry-level role focused on statistical analysis and machine learning, with fresh graduates encouraged to apply.
You will work with senior data scientists and data engineers on defined analytical problems. The role covers data preparation, exploratory analysis, model development and validation, along with exposure to NLP and LLM-based techniques.
What You’ll Do
- Develop, test and implement statistical and machine learning models with guidance from senior team members.
- Apply regression, classification, clustering and forecasting techniques to defined problems.
- Clean, transform and prepare data for analysis and modelling.
- Perform exploratory data analysis to identify patterns, trends and anomalies.
- Support feature engineering, hypothesis testing and structured analytical work.
- Check data quality and prepare datasets for modelling.
- Evaluate model performance using standard metrics and validation methods.
- Support model testing, debugging and documentation.
- Work with structured and unstructured data, including NLP and LLM-based techniques.
- Support GenAI experiments involving prompt execution, output validation and model testing.
What You Need
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science or a related field.
- 0–1 year of experience. Fresh graduates are encouraged to apply.
- Basic proficiency in Python, R or a similar analytical programming language.
- Foundational knowledge of statistics and machine learning.
- Basic understanding of model evaluation and interpretation.
- Strong attention to detail and a structured approach to problem solving.
- Commitment to professional and ethical standards.
Preferred Qualifications
- Academic or internship experience in analytics or data science.
Before You Apply
- Revise statistics, machine learning and common modelling techniques such as regression and classification.
- Make sure your resume clearly shows Python, R or other analytical programming experience.
- Prepare examples from academic projects or internships involving data cleaning, exploratory analysis or model development.
- Review basic model evaluation concepts and the metrics used to assess machine learning models.
- If you have worked with NLP, LLMs or GenAI experiments, include those projects in your resume.
Skills
Python, R, Data Science, Machine Learning, Statistics, Data Analysis, Data Cleaning, Feature Engineering, Exploratory Data Analysis, NLP, Generative AI, Model Evaluation
Job Details
Skills
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JobsInHyd does not guarantee hiring outcomes.About TriNet
TriNet provides HR solutions for small and midsize businesses, including payroll processing, human capital consulting, employment law compliance and employee benefits. TriNet is publicly traded on the New York Stock Exchange under the ticker TNET.
TriNet is hiring an Associate Data Scientist for its Enterprise Data & Analytics team in Hyderabad. This is an entry-level role focused on statistical analysis and machine learning, with fresh graduates encouraged to apply.
You will work with senior data scientists and data engineers on defined analytical problems. The role covers data preparation, exploratory analysis, model development and validation, along with exposure to NLP and LLM-based techniques.
What You’ll Do
- Develop, test and implement statistical and machine learning models with guidance from senior team members.
- Apply regression, classification, clustering and forecasting techniques to defined problems.
- Clean, transform and prepare data for analysis and modelling.
- Perform exploratory data analysis to identify patterns, trends and anomalies.
- Support feature engineering, hypothesis testing and structured analytical work.
- Check data quality and prepare datasets for modelling.
- Evaluate model performance using standard metrics and validation methods.
- Support model testing, debugging and documentation.
- Work with structured and unstructured data, including NLP and LLM-based techniques.
- Support GenAI experiments involving prompt execution, output validation and model testing.
What You Need
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science or a related field.
- 0–1 year of experience. Fresh graduates are encouraged to apply.
- Basic proficiency in Python, R or a similar analytical programming language.
- Foundational knowledge of statistics and machine learning.
- Basic understanding of model evaluation and interpretation.
- Strong attention to detail and a structured approach to problem solving.
- Commitment to professional and ethical standards.
Preferred Qualifications
- Academic or internship experience in analytics or data science.
Before You Apply
- Revise statistics, machine learning and common modelling techniques such as regression and classification.
- Make sure your resume clearly shows Python, R or other analytical programming experience.
- Prepare examples from academic projects or internships involving data cleaning, exploratory analysis or model development.
- Review basic model evaluation concepts and the metrics used to assess machine learning models.
- If you have worked with NLP, LLMs or GenAI experiments, include those projects in your resume.
Skills
Python, R, Data Science, Machine Learning, Statistics, Data Analysis, Data Cleaning, Feature Engineering, Exploratory Data Analysis, NLP, Generative AI, Model Evaluation