Sr. Data Engineer- Remote

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming, AWS

Job Description

This position can be remote

When you’re part of the team at Thermo Fisher Scientific, you’ll do important work, like helping customers in finding cures for cancer, protecting the environment or making sure our food is safe. Your work will have real-world impact, and you’ll be supported in achieving your career goals.

How will you make an impact?

The Data Engineer role will support the Chromatography and Mass Spectrometry Division to leverage Data Analytics and Data Science to drive profitable growth globally. The role will report to the Director, Pricing and Data Analytics, and will be working closely with data scientists and global finance team and business teams including sales, marketing, and product management, to drive digital transformation for the business and make immediate tangible impact.

What will you do?

• Lead data collection, integration, clean-up, and validation from multiple sources
• Build robust, efficient and reliable data pipelines
• Collaborate with data science teams to deploy and improve data science models, increasing data accessibility and quality, fostering data-driven decision making, and driving adoption of digital transformation within the organization
• Implement processes to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
• Perform data analysis required to troubleshoot data related issues and assist in the resolutions
• Design databases and pre-process data sets, enabling business to perform sophisticated business analytics efficiently and accurately, with ability to scale across regions and business units
• Develop, automate, and scale data analytics for business KPIs and key business initiatives
• Create Dashboards and regular report-out to measure business performances, including promotion effectiveness, share gain, customer acquisition/retention, up sell and cross sell, etc.
• Identify business problems and areas of opportunities and translate business needs into quantitative analyses that enable business to uncover patterns and insights
• Work with business partners to ensure prioritization in line with strategic initiatives and set goals to track progress on a regular basis
• Collaborate with corporate data science to leverage machine learning models to experiment data science within the organization; support feature engineering to optimize model performances
• Work closely with data science and data engineering teams to develop strategy for long term data platform architecture within the organization

How will you get here?

Education:

• Bachelor’s or Master’s degree in computer science, data science, analytics, statistics, applied math or related field

Experience

• 4+ years’ experience of performing data integration, pipeline development with data warehousing
• Experience in manipulating / managing complex large and unstructured databases
• Proficiency in Python and common Python libraries
• Experience with databases (Oracle, SQL Server, PostgreSQL, Redshift, MySQL, or similar)
• Experience of creating data visualization tools such as Tableau or PowerBI

Knowledge, Skills, Abilities

• Familiarity with Databricks, AWS, or other cloud-based machine learning platforms
• Excellent written and oral communication skills, including an ability to communicate across audience with varying technical and business backgrounds
• Ability to think critically, and solve problems that are in line with strategic business objectives
• Passionate about continuous learning

At Thermo Fisher Scientific, each one of our 75,000 extraordinary minds has a unique story to tell. Join us and contribute to our singular mission—enabling our customers to make the world healthier, cleaner and safer.