Data Scientist

Key Skills

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

Job Description

External Manufacturing Production team (EMP) is a department within Global External Manufacturing and Sourcing (GEMS) chartered with enabling world class collaboration and execution with our 3rd party Foundry, Assembly and Test suppliers. EMP seeks a dynamic Operational Analytics Data scientist to support the Data Analytics and IT Team (DA).

The ideal candidate will be inquisitive, motivated and have a strong affinity to data with proven experience in delivering analytics and data solutions within the supply chain domain.

As the EMP DA Data Scientist, you will be responsible for but not limited to:

• Delivering Operational Analytics and Automation solutions in partnership with business subject matter experts and super users to solve complex problems and developing an effective analytics self-service community within the business.
• Designing and applying leading Data Analytics solutions to influence how the business groups in EMP use analytics as an integral ingredient to a world class Manufacturing organization.
• Developing algorithms and mathematical models, performing experimentation and building data driven apps to translate data into intelligence, solve a variety of business problems and enable business strategy.
• Delivering data engineering and automation capabilities that enable analytics solution.
• Enabling EMP wide data culture through engagements with customers, educating them on technical capabilities available and facilitating data accessibility and awareness initiatives.

The ideal candidate should exhibit the following behavioral traits:

• Understanding of internal business segment. (stakeholders)
• Possess written and communication skills. Able to clearly communicate project status, risks and help needed. Be able to elicit requirements, discuss solution options and drive adoption with customers.
• Self-starter, responsible, dependable and inquisitive.
• Ability to solve complex analytics problems
• Desire to drive change and infuse new mindset to streamline our business.
• Challenges status quo and has a passion to drive smart change using data.
• Project management skills as well as Supply Chain business background with a track record of leading and delivering complex projects thru multi-disciplinary, matrixed cross- geo teams and partnerships.
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment

Qualifications

• You must meet the minimum qualifications to be considered for this job.

Minimum Qualifications

• Bachelors Degree or higher in Computer Science, Data Analytics, Science, Mathematics, Statistics, Machine Learning or similar STEM degree

4 + years of experience with 3 or more of the following:

• Business Intelligence products.
• Developing BI models and solutions using Microsoft BI stack Power BI On Premise Cloud
• ETL techniques traditional cloud DAX SQL Studio Azure
• Azure Data Platform including Synapse/SQL/DataLake, LogicApps, Data Factory
• Statistics and advanced analytics to find patterns and relationships in data
• Large data set manipulation
• Creation of data models and visualizations to tell a compelling story and interpret the results that will enable others to drive change and action to drive business optimizations Predictive modeling statistics Machine Learning Data Mining and other data analysis techniques to collect explore and extract insights from structure and unstructured data.
• Experience with modern analytics frameworks to drive world-class analytics capability
• Analytics languages and frameworks such as Python, R, Plotly, Dash

Preferred Qualifications:

• Work experience in Supply Chain is preferred
• Hands on experience with Agile Development methodology and framework
• Lean Six Sigma certification
• MS Azure Data Platform certification
• APICS CSCP certification