Scientist III, Data Sciences

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.

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• 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.

• 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.

• 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.

• 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.

• 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.

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

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

• Bachelor's 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.