Data Engineer II

Join Thermo Fisher Scientific's innovative data science team in Bengaluru / Bangalore, where you will drive advancements through cutting-edge analytics and AI solutions. As a Data Engineer II, you will leverage advanced technologies to tackle complex business challenges across the organization. Your work will encompass diverse projects, from developing predictive models and machine learning applications to exploring generative AI, in close collaboration with teams dedicated to our mission of making the world healthier, cleaner, and safer.

In this role, you will be instrumental in designing and implementing analytical models, conducting thorough exploratory data analysis, and deriving data-driven insights to guide strategic decision-making. You will have the opportunity to utilize state-of-the-art tools and technologies, contributing to impactful projects with real-world significance. This position is ideal for professionals seeking growth opportunities and the chance to collaborate with accomplished experts in a dynamic, innovation-focused environment.

Key Responsibilities:

• Design and implement analytical models.
• Perform exploratory data analysis and develop data-driven insights.
• Work with advanced tools and technologies in data science and AI.
• Collaborate with cross-functional teams to deliver data solutions.
• Contribute to projects involving predictive modeling, machine learning, and generative AI.
• Ensure data engineering and ETL processes are efficient and robust.

Requirements:

• Bachelor's degree plus 2 years of experience in applied data science or a related role.
• Preferred fields of study include Data Science, Computer Science, Statistics, Mathematics, Engineering, or related quantitative fields.
• Proficiency in Python and SQL is essential.
• Experience with data analysis tools, machine learning algorithms, statistical modeling, and data visualization.
• Familiarity with cloud platforms such as AWS or Azure and modern data architectures.
• Proficiency in data engineering and ETL processes.
• Experience with big data technologies like Databricks and Spark.
• Knowledge of generative AI and natural language processing is a plus.
• Strong understanding of statistical concepts and experimental design.
• Experience with data visualization tools like Power BI or Tableau.
• Excellent problem-solving and analytical skills.
• Strong communication skills, with the ability to present complex findings to stakeholders.
• Experience in cross-functional matrix environments.
• Demonstrated success in delivering data-driven solutions.
• Ability to work independently and collaboratively.
• Experience with version control systems like Git.
• This is a standard (Mon-Fri) work schedule within an office environment.
• Travel may be required (0-25%).