Data Scientist - Supply Chain Experience Required - B3
Data Scientist - Supply Chain Experience Required - B3
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$ 142500 - 196500
1 Vacancy
Job Description
Who We Are
Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design build and service cuttingedge equipment that helps our customers manufacture display and semiconductor chips the brains of devices we use every day. As the foundation of the global electronics industry Applied enables the exciting technologies that literally connect our world like AI and IoT. If you want to work beyond the cuttingedge continuously pushing the boundaries ofscience and engineering to make possiblethe next generations of technology join us to Make Possible a Better Future.
What We Offer
Salary:
$142500.00 $196500.00Location:
Santa ClaraCAAt Applied we prioritize the wellbeing of you and your family and encourage you to bring your best self to work. Your happiness health and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. Were committed to providing programs and support that encourage personal and professional growth and care for you at work at home or wherever you may go. Learn more about our benefits.
Youll also benefit from a supportive work culture that encourages you to learn develop and grow your career as you take on challenges and drive innovative solutions for our empower our team to push the boundaries of what is possiblewhile learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied.
About the Job:
We are looking for a Data Scientist to join our Supply Chain Analytics team. The mission of the AGS Operations Business Intelligence team is to enhance efficiency through the application of machine learning statistical and simulation modeling and actionable insights.
Our data science modeling and analytical efforts focus on improving process efficiency through insights enhanced visualization and improved UI/UX. We aim to elevate our decision support systems and measurement capabilities driving significant improvements in key business metrics.
Education and Experience:
- Candidates should have 7 years of experience in a Data Scientist role and a masters degree in engineering Operations Research Computer Science Statistics Information Systems or another quantitative field.
- 5 years of Supply Chain experience
Key Responsibilities:
- Project Collaboration: Work in project teams as a subject matter expert to design and develop methods processes and systems for consolidating and analyzing structured and unstructured diverse big data sources.
- Statistical Analysis: Perform complex statistical and datamining analysis using tools such as Python libraries (e.g. Pandas NumPy SciPy Scikitlearn) R SAS and MATLAB. Responsibilities include the input and design of data acquisition systems data structure and database design.
- Customer Interface: Interface with internal customers for requirements analysis and special requests; derive insights and work with business units to determine actions and KPIs for those actions.
- Model Development: Develop complex analytical models algorithms and automated processes applying SQL and Python programming to cleanse integrate and evaluate large datasets.
- Collaboration: Collaborate with product and service teams to identify key questions and issues for data analysis and experiments. Facilitate the timely creation of analytical and data science products for the service supply chain by leveraging advanced data analytics grounded in a strong understanding of business processes and requirements.
- Communication: Communicate insights and findings from analysis and experiments to product service and business management to be incorporated into the measurement of effective business processes.
Functional Knowledge:
The ideal candidate should possess a deep understanding of supply chain management and analytics. They should be proficient in using advanced analytical techniques and machine learning models to solve complex supply chain problems. Key areas of expertise include:
- Statistical Analysis and Data Mining: Proficiency in performing complex statistical and datamining analysis using tools such as Python libraries (e.g. Pandas NumPy SciPy Scikitlearn) R SAS and MATLAB.
- Machine Learning: Experience in developing and implementing machine learning models to optimize supply chain processes clustering similarity models causal inference and recommendation engines.
- Data Visualization: Ability to create sophisticated visualizations to communicate insights effectively using tools like Tableau Power BI or Python libraries such as Matplotlib and Seaborn.
- Simulation Modeling: Expertise in building simulation models to improve efficiency and reduce costs in supply chain operations.
- Database Design: Handson experience with big data technologies such as Hadoop Databricks Apache Spark Workflows and Jobs. Excellent SQL and Excel skills are mandatory. Knowledge of data acquisition systems data structure and database design to ensure efficient data management and retrieval.
- UI/UX Enhancement: Understanding of user interface and user experience principles to improve the usability and satisfaction of analytical tools and dashboards.
Business Expertise:
- Best Practices: Interpret internal/external business challenges and recommend best practices to improve products processes or services.
- Leadership: May lead functional teams or projects with moderate resource requirements risk and/or complexity. Demonstrate a high sense of urgency.
- Problem Solving: Lead others to solve complex problems using sophisticated analytical thought to exercise judgment and identify innovative solutions. Knowledge of problemsolving tools (such as 8D Lean Six Sigma DMAIC).
- Impact: Impact the achievement of customer operational project or service objectives; work is guided by functional policies.
- Interpersonal Skills: Communicate difficult concepts and negotiate with others to adopt a different point of view.
Added Advantage:
- Knowledge in Supply Chain Circular Economy Reverse Value Chain process.
- Published dashboards in Tableau Public with visualization solutions for business problems and earned more views.
- Handson experience in Databricks ETL data ingestion business intelligence and AI.
- Handson experience in recommendation engines and similarity models.
- Excellent MS Excel skills.
- Experience in causal inference and forecasting techniques.
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes 10 of the TimeRelocation Eligible:
YesThe salary offered to a selected candidate will be based on multiple factors including location hire grade jobrelated knowledge skills experience and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program as applicable.
For all sales roles the posted salary range is the Target Total Cash (TTC) range for the role which is the sum of base salary and target bonus amount at 100 goal achievement.
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race color national origin citizenship ancestry religion creed sex sexual orientation gender identity age disability veteran or military status or any other basis prohibited by law.
Employment Type
Full-Time
