Thermo Fisher Scientific is hiring for the position of Data Analyst in Hyderabad, India. Candidates with Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Thermo Fisher Scientific |
| Position | Data Analyst |
| Qualifications | Bachelor’s/ Master’s Degree |
| Batch | 2019/ 2020/ 2021/ 2022/ 2023/ 2024 |
| Experience | Freshers/ Experienced |
| Location | Hyderabad, India |
Role Purpose Summary:
- Proficient in Python programming or dplyr (R), with experience in data wrangling and preprocessing using libraries such as pandas (Python) or dplyr (R).
- Strong understanding of machine learning, large language models, and data interpretation. Knowledge of computer vision and natural language processing is an added advantage.
- Familiarity with fundamental statistical concepts and methods.
- Skilled in designing, constructing, and optimizing prompts to effectively guide AI models in generating contextually appropriate responses.
- Responsible for designing and implementing systems utilizing advanced machine learning techniques to create new, original content, while managing system performance and addressing ethical considerations.
- Experience with popular AI/ML frameworks and libraries.
- Solid understanding of core concepts in machine learning and artificial intelligence.
- Familiar with widely used machine learning libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Ability to work both independently and collaboratively within a team environment.
- Excellent problem-solving abilities and strong attention to detail.
- Strong communication and interpersonal skills.
Key Responsibilities:
- Research, develop, and implement statistical models and data visualizations for management reviews.
- Analyze and design strategies for data collection, extraction, and pre-processing.
- Assist in the collection, cleaning, and pre-processing of structured and unstructured data for analysis.
- Ensure data integrity through processing, cleansing, and validation for accurate analysis.
- Conduct rigorous testing and validation of AI/ML models to ensure their accuracy, reliability, and robustness.
- Optimize and fine-tune AI/ML models to enhance performance and efficiency.
- Document and communicate technical details, progress, and insights to team members and key stakeholders.
- Support the development and implementation of machine learning models and algorithms.
- Conduct experiments and tests to evaluate model performance and identify opportunities for improvement.
- Handle tasks related to data visualization, feature engineering, and model interpretation.
- Present findings, insights, and results to the team in a clear and concise manner.
- Stay updated on the latest advancements and best practices in AI/ML research and technology.
About Company:
Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD.
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