Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

Thermo Fisher Scientific

Compare

3.9

based on 804 Reviews

147 Thermo Fisher Scientific Jobs

Scientist III, Data Sciences

PPD

3.9

based on 804 Reviews

5-7 years

Mumbai

1 vacancy

Scientist III, Data Sciences

Thermo Fisher Scientific

posted 11d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Science Computer Science Data Analysis Python Machine Learning Project Management

+ 4 more

Job Description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Senior Data scientist

When you re part of the team at Thermo Fisher Scientific, you ll do important work. Surrounded by collaborative colleagues, you ll have the support and opportunities that only a global leader can give you. Our respected, growing organization has an outstanding strategy for the near term and beyond. Take your place on our strong team, and help us make significant contributions to the world.

Job Overview

Join Thermo Fisher Scientific Inc. as a Senior Data Scientist and tap into your expertise in data science, statistical modeling, and machine learning. Foster close partnerships with teams across different functions to contribute to data-driven decision-making and drive our mission and ambitious goals.

Key Responsibilities

Data Analysis

Analyze large datasets to identify trends, patterns, and insights.
Develop and implement data cleaning and preprocessing techniques.
Conduct exploratory data analysis to discover hidden patterns and correlations.

Statistical Modeling

Build and deploy statistical/data science models to tackle business problems.
Perform hypothesis testing and develop experiments to validate models.
Work together with collaborators, customers, partners, and team members to grasp model requirements and objectives.

Machine Learning

Develop and deploy machine learning algorithms for predictive modeling.
Evaluate and fine-tune models for efficient performance.
Stay updated on the latest advancements in machine learning and data science.

Data Visualization

Build visually captivating and insightful data visualizations.
Share findings with both technical and non-technical collaborators.
Use tools like Tableau, Power BI, or others for effective data representation.

Collaboration

Work closely with cross-functional teams, including business analysts, engineers, and other data professionals.
Offer mentorship to junior data scientists and foster a collaborative work environment.

Project Management

Handle end-to-end data science projects, from problem definition to implementation.
Prioritize tasks, meet deadlines, and ensure project deliverables align with business goals.

Continuous Learning

Keep updated with industry trends, new technologies, and standard processes in data science.
Actively participate in professional development activities and training.

Qualifications

Bachelors or equivalent experience in a relevant field (e.g., Computer Science, Statistics, Data Science).
Demonstrable experience in data analysis, statistical modeling, and machine learning, with a minimum of 5+ years.
Experience in developing a recommendation model will be a plus point.
Proficiency in programming languages such as Python or R.
Proficiency in working with cloud platforms such as Databricks, GCP, etc.
Strong knowledge of data manipulation and analysis tools (e.g., Pandas, NumPy).
Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch).
Excellent communication and collaboration skills.
Strong problem-solving and critical-thinking abilities.