Scott Morrison

Scott Morrison Email and Phone Number

Head of Data Science at Diaceutics PLC @ Diaceutics PLC
Scott Morrison's Location
Northern Ireland, United Kingdom, United Kingdom
Scott Morrison's Contact Details

Scott Morrison work email

Scott Morrison personal email

n/a

Scott Morrison phone numbers

About Scott Morrison

Scott Morrison is a Head of Data Science at Diaceutics PLC at Diaceutics PLC. He possess expertise in data analysis, six sigma, statistical modeling, statistical data analysis, statistical tools and 21 more skills.

Scott Morrison's Current Company Details
Diaceutics PLC

Diaceutics Plc

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Head of Data Science at Diaceutics PLC
Scott Morrison Work Experience Details
  • Diaceutics Plc
    Head Of Data Science
    Diaceutics Plc Nov 2019 - Present
    Belfast, Northern Ireland, Gb
  • Diaceutics Plc
    Machine Learning Lead
    Diaceutics Plc Apr 2019 - Nov 2019
    Belfast, Northern Ireland, Gb
  • Seagate Technology
    Data Scientist - Operations & Technology Advanced Analytics Group
    Seagate Technology Mar 2018 - Mar 2019
    Fremont, Ca, Us
    Data scientist in the Operations & Technology Advanced Analytics Group
  • Seagate Technology
    Data Scientist - Product Performance Engineering Team (Senior Engineer)
    Seagate Technology Aug 2016 - Mar 2018
    Fremont, Ca, Us
    Seek to improve the companys products performance and yields through data. Convincing business leaders of opportunities within a world-wide chain of factories. Seeking actionable intelligence from large data sets and presenting in a clear and practical manner.• Analysis of downstream customer performance data• Communication and interaction with cross-functional groups in Springtown,Asia and America including regular interaction with key customers• Support departmental advanced analysis and data mining developmentstrategy using new and emerging technologies• Provide analysis support for new product / process qualifications• Analysis support for six sigma / business excellence activities relating toproduct performance• Lead and participate in teams to resolve process / yield issues / excursions,managing projects when required• Definition of material usage strategies as required• Extracting, Manipulating, cleansing & processing data using SQL, R, JMP, SAS.• Analysing raw data, drawing conclusions & developing recommendations to improve the end product• Daily monitoring of factory product yields and explanation of variability within• Automating analysis tasks with JMP, SAS and R programming languages• Presenting detailed weekly product reports to senior management and worldwide stakeholders• Develop statistical models to forecast yield KPIV’s• Improvement of critical factory transfer functions• Integrating new analysis techniques and methodologies to the group• Analyse large datasets to provide strategic direction to the company• Leading throughout key stages of the Agile development methodology
  • Seagate Technology
    Data Science Analyst - Product Performance Engineering Team (Engineer Ii)
    Seagate Technology Aug 2014 - Aug 2016
    Fremont, Ca, Us
    Seek to improve the companys products performance and yields through data. Convincing business leaders of opportunities within a world-wide chain of factories. Seeking actionable intelligence from large data sets and presenting in a clear and practical manner.
  • Seagate Technology
    Product Performance Engineering Team (Graduate Engineer)
    Seagate Technology Aug 2012 - Aug 2014
    Fremont, Ca, Us
    Seek to improve the companys products performance and yields through data. Convincing business leaders of opportunities within a world-wide chain of factories. Seeking actionable intelligence from large data sets and presenting in a clear and practical manner.
  • Western Health And Social Care Trust
    It Technician - Student Placement
    Western Health And Social Care Trust Jun 2010 - Jun 2011
    Londonderry, Gb
    • Respond to individual employees queries and IT issues ensuring all new users are set up• Troubleshoot and resolve hardware, connection, printer and software issues, and fix all technical issues• Manage Company software and troubleshoot to resolve all problems encountered with hardware and software.• Update network applications as required• Carry out required maintenance work and upgrades on company systems, and maintain daily backups• Replace or repair defective parts and equipment.• Monitor all company internet and email use• Investigate and diagnosing network problems• Perform routine server monitoring and performance benchmarking• Monitor and remove virus, spyware, and other non-authorized software• Complete special projects as requested

Scott Morrison Skills

Data Analysis Six Sigma Statistical Modeling Statistical Data Analysis Statistical Tools Big Data Data Mining Jmp Analysis Sas Agile Methodologies R Machine Learning Operating Systems Java Hardware Cross Functional Team Leadership Python Sql System Automation Sas E Miner Tableau Knime Python Analytics Deep Learning

Scott Morrison Education Details

  • Letterkenny Institute Of Technology
    Letterkenny Institute Of Technology
    Msc In Big Data Analytics Level-9 - Major
  • Ulster University
    Ulster University
    Bsc Computer Science
  • Faughan Valley High School
    Faughan Valley High School

Frequently Asked Questions about Scott Morrison

What company does Scott Morrison work for?

Scott Morrison works for Diaceutics Plc

What is Scott Morrison's role at the current company?

Scott Morrison's current role is Head of Data Science at Diaceutics PLC.

What is Scott Morrison's email address?

Scott Morrison's email address is sc****@****ate.com

What is Scott Morrison's direct phone number?

Scott Morrison's direct phone number is +140865*****

What schools did Scott Morrison attend?

Scott Morrison attended Letterkenny Institute Of Technology, Ulster University, Faughan Valley High School.

What are some of Scott Morrison's interests?

Scott Morrison has interest in Science And Technology.

What skills is Scott Morrison known for?

Scott Morrison has skills like Data Analysis, Six Sigma, Statistical Modeling, Statistical Data Analysis, Statistical Tools, Big Data, Data Mining, Jmp, Analysis, Sas, Agile Methodologies, R.

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