Breaking

Saturday, August 21, 2021

APPLIED MATERIALS Hiring Logistics Data Scientist in Singapore Salary starts from $29,900 SGD/month Apply Online

Company: APPLIED MATERIALS
Job Role: Logistics Data Scientist.
Experience: (3-5 years).
Vacancy: 20+
Qualification: Bachelor’s degree in engineering,
computer/data science or statistics.
Salary: $29,900 SGD/month.
Location: Singapore.
Join us on Telegram Click Here
Apply Mode: (Online)
Deadline: Not Mentioned
About the Company:
Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible a better future.

Description:

The Logistics Data Scientist is a key role within the Manufacturing Logistics Operations organization, based in Singapore

Main Roles and Responsibilities:
  • Analyze complex logistics data (Freight and Warehouse Materials Flow) to improve business processes internally and cross-functionally
  • By using data-driven insight and analysis, define and establish operational metrics.
  • Creating data visualization and dashboards for tactical operational management and the manager's view
  • Training users on dashboards and data maintenance
  • Establish causal relationships with statistics and solve problems using data-driven techniques.
  • Establish metrics and dashboards to enable analytics insights and deep dives into gap analysis with cross-functional teams (Supply Chain, Manufacturing, Materials and Production Control). Identify areas for improvement.
  • Ensure accurate and effective performance/metric data by implementing changes
  • Automate data connectivity and processes by building models and methods.
  • Manage complex, unstructured information extraction projects
  • Act Us Logistics in partnership with Manufacturing will drive initiatives to connect SMART Factory data.
Qualifications & Work Experience:
  • Bachelor’s degree or higher in industrial engineering, computer/data science or statistics
  • Experience with visual analytics platforms (e.g. Tableau), query languages (e.g. SQL), preprocessing, and statistical analysis using Unix, Python, R
  • Experience of at least five years in the relevant field
  • Analyzing data in a business setting and implementing improvement solutions
Skills and Competencies:
  • Experience with SAP EWM/ECC systems preferred
  • Having knowledge and understanding of manufacturing logistics warehouse operations, supply chain concepts, and application.
  • Capable of applying data science techniques and distilling complex data into actionable operations improvement solutions
  • Ability to communicate data science solutions to business stakeholders in the context of process improvement.
  • Ability to solve problems critically with good time management
  • High learning agility in learning new data science techniques in logistics / manufacturing
  • Ability to work independently under pressure and adapt quickly to changing business priorities
  • Detail-oriented and highly accurate data
  • Ability to effectively work and collaborate with a culturally diverse cross-functional team
  • English writing and speaking skills are excellent, as are interpersonal skills
  • Proficient in Microsoft Office (Excel, Word, PowerPoint, Notebook, and Access)
Additional Information:

Travel: Yes, 10% of the Time

Relocation Eligible: No

Work Experience: 4 - 7 Years

Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.

Join Our What'sApp Groups Click Here
How to Apply Click on the Below link, it will redirect you to source Page and apply there.

Apply Now Click Here

Note: If you are facing any issues while applying jobs, please let us know by commenting below. We will solve your issue as soon as possible, Advice not to share card details pay money to anyone, and be aware from those types of traps

No comments:

Post a Comment

Job Search