Job Description

The Data Engineer role will support the Thermo Fisher Scientific Pharma Services Group to leverage Data Analytics and Data Science to drive profitable growth. The role will report to the Director, Digital Marketing Operations, and will be challenged to support and develop new analytic capabilities for a wide variety of marketing projects.

Key Responsibilities:

* Lead data collection, integration, clean-up, and validation from multiple sources
* Build robust, efficient and reliable data pipelines
* Collaborate with analytics and 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 division and corporate analytics and data science teams 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

Minimum Requirements/Qualifications:

* BS or MS Degree in computer science, data science, analytics, statistics, applied math or related field
* 5+ years2019 experience of performing data integration, pipeline development with data warehousing
* Experience in manipulating / managing large, complex, and unstructured databases
* Proficiency in Python and common Python libraries
* Experience with databases (Oracle, SQL Server, PostgreSQL, Redshift, MySQL, or similar)
* Experience creating data visualization tools using Tableau or Power BI
* Familiarity with Databricks, AWS, or other cloud-based machine learning platforms
* Excellent written and oral communication skills, including an ability to communicate across audiences with varying technical and business backgrounds
* Ability to think critically and solve problems that are in line with strategic business objectives
* Performs other duties as assigned by manager

Key Success Factors:

* Strong organizational and communication skills, and proven ability to adapt style to different situations and people
* Must be a business partner, not merely a technical expert 2013 this position plays an active role providing actionable insight across Pharma Services
* Strong analytical skills 2013 and ability to use those skills to influence and drive change
* Excellent interpersonal and communication skills (both verbal and written)
* Ability to interact professionally with a diverse group including VPs, directors, managers, subject matter experts and end-users
* Self-motivated with a bias for action