Sr Process Engineer (Data Analytics & Science)

Sr Process Engineer (Data Analytics & Science)

Dexcom

Athenry, Ireland

Our Data Science Team team is looking for the right teammate to support the start-up of our first European manufacturing site in Athenry. As a Senior Process Engineer – Data Analytics, you will use state of the art data science and analytics techniques in the implementation, characterization, improvement, qualification/validation and monitoring of highly automated, high throughput manufacturing lines.

Where you come in:

• You will be responsible for generating monitoring and business intelligence dashboards within the Process Engineering team;
• You will lead initiatives to enable other engineers and technicians to self-serve when it comes to data interrogation;
• You will implement KPI tracking and reporting across the Process Engineering team;
• You will work collaboratively across functions to ensure timely and accurate analyses;
• You will ensure robust and accurate statistical techniques are used to interrogate data;
• You will share findings across functions and between technical and non-technical team members;
• You will use best software development practices to ensure robustness and repeatability of any performed analyses;
• You will develop and maintain project timelines and provide updates and feedback to project leadership;
• You will implement problem solving skills and techniques to identify potential process risks, assess their impact developing and implementing mitigation plans;
• You will plan and perform Design of Experiments (DOE) and utilize Six Sigma methodologies to characterize, assess capabilities, and determine optimal operating windows;
• You will transfer knowledge and understanding to receiving site operations teams along with providing technical training for responsible processes;
• You will consult with global data science and other relevant global teams implementing solutions;
• You will assume and perform other duties as assigned.  

What makes you successful:

• Typically requires a Bachelor’s degree in a technical discipline, and a minimum of 5-8 years related experience or Master’s degree and 2-5 years equivalent industry experience or a PhD and 0-2 years’ experience;
• Experience creating and maintaining business intelligence dashboards (e.g. Tableau, Looker, Aveva PI, Power BI);
• Experience engineering and maintaining end-to-end data analysis pipelines, from querying data through to generating high quality visualisations. Exposure to advance data science methodologies is an advantage;
• Ability to run self-directed projects, maintain timelines, stay organized, and balance multiple activities in a fast-paced environment;
• Ability to deal with ambiguity/uncertainty and a willingness to try new/challenging things;
• Familiar with experimental design, data analysis, and interpretation of experiments;
• Excellent communication (written and verbal) and personal interaction skills;
• Knowledge of high reliability, high volume manufacturing processes and designs;  
• Travel Required: 5-15%.