Thermo Fisher Scientific Inc. Company Hiring For Data Analyst

Thermo Fisher Scientific Inc. Company Hiring For Data Analyst | Freshers/Experienced are eligible to apply for the job role and organizing an off campus recruitment drive. Below are the Job description, Eligibility, and Other details.

Job Description :-

Company Name:	Thermo Fisher Scientific Inc.
Job Role:	Data Analyst
Qualification:	Bachelor’s/Master’s Degree
Experience:	Freshers/Experienced
Batch:	2020/2021/2022/2023/2024
Location:	Hyderabad, India
CTC/Salary:	INR 4-8 LPA (Expected)

Eligibility / Qualification:-

Bachelor’s or Master’s degree

Responsibilities:-

Proficient in either Python programming or dplyr (R).experience with data wrangling and preprocessing using libraries such as pandas (Python) or dplyr (R).
Understanding of machine learning, large language models, Data interpretation & handling is important. Knowledge on computer vision, natural language processing, would be added advantage
Working knowledge of fundamental statistical concepts and methods.
Designs, constructs, and optimizes prompts in a way that optimally guides the AI model’s generation process to provide targeted and contextually correct responses.
Responsible for designing and implementing systems that apply profound machine learning techniques, which enable the creation of new, original content. This role also includes applying the technology in various applications, managing the system’s performance, and handling the ethical considerations associated with its use.
Experience with popular AI/ML frameworks and libraries
Solid understanding of fundamental concepts in machine learning and artificial intelligence.
Familiarity with popular machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Ability to work independently as well as collaboratively in a team environment.
Excellent problem-solving skills and attention to detail.
Strong communication and interpersonal skills.

Required Skills :-

Research, develop, and implement appropriate statistical models & visualization of data for managment reviews
Analyze and implement strategies for data collection, extraction, and pre-processing.
Carrying out the preprocessing of structured and unstructured data while assisting in collecting, cleaning, and preprocessing data for analysis.
Processing, cleansing, and validating the integrity of data to be used for analysis.
Perform rigorous testing and validation of AI/ML models to ensure accuracy, reliability, and robustness.
Assist in optimizing and fine-tuning AI and ML models to improve performance and efficiency.
Document and communicate the technical details, progress, and analysis insights to team members and key customers
Support the development and implementation of ML models and algorithms.
Conduct experiments and tests to evaluate the model’s performance and identify areas for improvement.
Work on tasks related to data visualization, feature engineering, and model interpretation.
Document and present findings, insights, and results to the team.
Stay updated on the latest advancements and best practices in AI/ML research and technology.