Search Jobs

TriNet Hiring 2026 | Associate Data Scientist | Hyderabad | Freshers | Apply Now

TriNet Hiring 2026 | Associate Data Scientist | Hyderabad | Freshers | Apply Now

Application Link

Apply Here:

https://jobs.trinet.com/careers/job/42496453?utm_source=linkedin&domain=trinet.com


TriNet Hiring – Associate Data Scientist Opportunity

TriNet is hiring for the position of Associate Data Scientist in Hyderabad, Telangana, India. This opportunity is suitable for fresh graduates and candidates with 0–1 year of experience who have a background in Data Science, Statistics, Mathematics, Computer Science, or a related field.

The role provides an opportunity to work with Python, R, statistics, machine learning, data preparation, exploratory data analysis, model evaluation, NLP, Large Language Model (LLM)-based techniques, and Generative AI.


About TriNet

TriNet is a professional employer organization and HR technology company that provides human resources, payroll, benefits, risk management, and related services to businesses.


Job Details

Company Name: TriNet

Position: Associate Data Scientist

Job Type: Full-Time

Job ID: 3003761

Location: Hyderabad, Telangana, India

Work Environment: 100% In-Office

Experience: 0–1 Year

Freshers: Yes – Fresh Graduates Are Encouraged to Apply

Qualification: Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field

Travel: Minimal Travel Required

Salary: Not Disclosed


Eligibility Criteria

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • 0–1 year of professional experience.
  • Fresh graduates are encouraged to apply.
  • Academic or internship experience in analytics or data science is a plus.
  • Basic proficiency in Python, R, or similar analytical programming languages.
  • Foundational understanding of statistics and machine learning.
  • Basic understanding of model evaluation and interpretation.
  • Knowledge of data preparation and exploratory data analysis.
  • Strong attention to detail and accuracy.
  • Structured thinking and problem-solving skills.
  • Commitment to high professional and ethical standards.

Job Description

TriNet is looking for an Associate Data Scientist to support data science and analytics activities. The role involves working with data preparation, statistical analysis, machine learning, model evaluation, data quality, and analytical problem solving.

The selected candidate will work with data science techniques such as regression, classification, clustering, forecasting, feature engineering, hypothesis testing, exploratory data analysis, and model validation.

The role also provides exposure to modern technologies including NLP, LLM-based techniques, Generative AI, prompt execution, and model testing and debugging.


Key Responsibilities

  • Support data science and analytics projects.
  • Collect, clean, transform, and prepare data for analysis.
  • Perform exploratory data analysis (EDA).
  • Analyze data quality and identify data-related issues.
  • Apply statistical techniques to analyze datasets.
  • Support machine learning model development.
  • Work with regression, classification, clustering, and forecasting techniques.
  • Assist with feature engineering and data transformation.
  • Support hypothesis testing and statistical analysis.
  • Evaluate and validate machine learning models.
  • Interpret model outputs and analytical results.
  • Support model testing and debugging.
  • Explore NLP and LLM-based techniques.
  • Work with Generative AI and prompt execution techniques.
  • Document analytical approaches, findings, and results.
  • Apply structured analytical thinking to solve business and technical problems.
  • Maintain accuracy and attention to detail while working with data.
  • Collaborate with team members on data science and analytics initiatives.

Key Skills Required

  • Python
  • R
  • Statistics
  • Machine Learning
  • Regression
  • Classification
  • Clustering
  • Forecasting
  • Feature Engineering
  • Hypothesis Testing
  • Data Cleaning
  • Data Transformation
  • Data Preparation
  • Exploratory Data Analysis (EDA)
  • Model Evaluation & Validation
  • Model Interpretation
  • Data Quality Analysis
  • NLP
  • LLM-Based Techniques
  • Generative AI
  • Prompt Execution
  • Model Testing & Debugging
  • Analytical Problem Solving
  • Documentation

Machine Learning Skills

  • Regression
  • Classification
  • Clustering
  • Forecasting
  • Feature Engineering
  • Model Evaluation
  • Model Validation
  • Model Interpretation
  • Model Testing
  • Model Debugging

Data Science Skills

  • Data Cleaning
  • Data Transformation
  • Data Preparation
  • Exploratory Data Analysis
  • Data Quality Analysis
  • Statistics
  • Hypothesis Testing
  • Analytical Problem Solving
  • Data Documentation

AI & Advanced Technology Skills

  • Natural Language Processing (NLP)
  • LLM-Based Techniques
  • Generative AI
  • Prompt Execution
  • Model Testing & Debugging

Candidates with academic, internship, or project experience involving machine learning, NLP, LLMs, or Generative AI may have relevant experience for this opportunity.


Preferred / Additional Skills

  • Academic projects in Data Science or Machine Learning.
  • Internship experience in analytics or data science.
  • Practical experience with Python or R.
  • Strong understanding of statistical concepts.
  • Knowledge of machine learning algorithms.
  • Understanding of model evaluation and interpretation.
  • Strong data quality and validation skills.
  • Good documentation skills.
  • Strong attention to detail.
  • Ability to approach problems in a structured manner.

Selection Process

The selection rounds are not specified in the provided job posting. Candidates should refer to the official TriNet careers portal for the latest recruitment process and interview details.


Work Environment

100% In-Office – Hyderabad, Telangana, India

Candidates should be comfortable working from the TriNet office in Hyderabad. The role requires minimal travel.


Experience

0–1 year of experience

Fresh graduates are encouraged to apply. Academic projects, internships, or practical experience in analytics and data science can be beneficial.


Why Apply?

  • Opportunity to start a career in Data Science.
  • Fresh graduates are encouraged to apply.
  • Gain practical exposure to machine learning.
  • Develop Python and R analytical programming skills.
  • Work with statistics and data analysis.
  • Gain experience in regression, classification, clustering, and forecasting.
  • Develop skills in feature engineering and model evaluation.
  • Gain exposure to NLP and LLM-based techniques.
  • Learn about Generative AI and prompt execution.
  • Develop model testing and debugging skills.
  • Gain experience with data quality analysis and data preparation.
  • Develop analytical and structured problem-solving abilities.
  • Build experience in a professional data science environment.

Who Should Apply?

  • Fresh graduates in Data Science.
  • Statistics graduates.
  • Mathematics graduates.
  • Computer Science graduates.
  • Candidates with a related bachelor's degree.
  • 2026 graduates interested in Data Science.
  • Candidates with 0–1 year of experience.
  • Candidates with academic projects in Machine Learning.
  • Candidates with analytics or data science internship experience.
  • Candidates with basic Python or R knowledge.
  • Candidates interested in Machine Learning and AI.
  • Candidates interested in NLP and Generative AI.
  • Candidates with strong analytical and problem-solving skills.

Travel

Minimal Travel Required


Salary

The salary is not disclosed in the provided job posting. Candidates should refer to the official TriNet careers portal for any compensation information provided during the recruitment process.


How to Apply?

Interested and eligible candidates can apply through the official TriNet careers portal using the application link provided above.

Candidates should review the official job description and eligibility requirements before submitting their application.


Connect With Hima_Hire

WhatsApp Channel

https://whatsapp.com/channel/0029VbAvE9ZAInPhNyWfxo2x

Telegram Channel

https://t.me/hima_hires

Instagram

https://instagram.com/hima_hire

LinkedIn

https://www.linkedin.com/in/himashalini

Pinterest

https://pin.it/1428adlRK

YouTube

https://youtube.com/@MajjigaHimashalini2230

Email

himahire2230@gmail.com


Disclaimer

The recruitment details are based on the provided TriNet job information. Candidates should verify the latest eligibility criteria, job requirements, work environment, travel requirements, salary, selection process, and application details on the official TriNet careers portal before applying.


Keywords

TriNet Hiring 2026, TriNet Jobs 2026, TriNet Associate Data Scientist, TriNet Data Scientist Jobs Hyderabad, Associate Data Scientist Hyderabad, Data Scientist Jobs Hyderabad, Data Science Jobs 2026, Freshers Data Science Jobs, Data Science Freshers Jobs, Python Data Science Jobs, R Data Science Jobs, Machine Learning Jobs Hyderabad, Statistics Jobs Hyderabad, Regression Jobs, Classification Jobs, Clustering Jobs, Forecasting Jobs, Feature Engineering Jobs, Hypothesis Testing Jobs, Data Analyst Jobs Hyderabad, EDA Jobs, Exploratory Data Analysis Jobs, NLP Jobs Hyderabad, LLM Jobs, Generative AI Jobs Hyderabad, AI Jobs Hyderabad, Machine Learning Freshers Jobs, Data Science Graduate Jobs, Computer Science Jobs Hyderabad, Mathematics Jobs Hyderabad, Statistics Graduate Jobs, 0-1 Year Experience Jobs, Freshers Jobs Hyderabad, Hima_Hire Jobs


SEO Title

TriNet Hiring 2026 | Associate Data Scientist | Hyderabad | Freshers | Apply Now

Meta Description

TriNet Hiring 2026 for Associate Data Scientist in Hyderabad. Freshers and candidates with 0–1 year experience and knowledge of Python, R, statistics, machine learning, NLP, and Generative AI can apply.

No comments:

Post a Comment

🌟 Featured Job

HPE Hiring 2026 | WLAN Engineer | India | 0–2 Years | Apply Now

HPE Hiring 2026 | WLAN Engineer | India | 0–2 Years | Apply Now Application Link Apply Here Hewlett Packard Enterprise (HPE) Hiring 202...

Latest Job Updates