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 helps our customers – who make smartphones, supercomputers, virtual reality headsets, autonomous vehicles and more – transform their ideas into reality. Our innovations Make Possible® a Better Future.

Inside our company, we apply the idea of make possible as we work together. We value our people and teams who turn possibilities into reality by advancing our strategy, accomplishing great things and empowering others. We are deeply committed to fostering a Culture of Inclusion where every person knows they belong, feels empowered to bring their whole self to work, and is inspired to grow.

TEAM OVERVIEW:

Join our dynamic Supply Chain Analytics team as a Data Scientist! Our mission is to revolutionize efficiency by harnessing the power of machine learning, statistical and simulation modeling, and actionable insights.

We are dedicated to transforming process efficiency through deep analysis, cutting-edge visualization, and enhanced UI/UX. Our goal is to elevate decision support systems and measurement capabilities, driving substantial improvements in key business metrics. Be a part of our journey to make a significant impact!

KEY RESPONSIBILITIES:

Project Collaboration: Support the design and development of methods, processes, and systems to consolidate and analyze diverse "big data" sources. Break down complex business problems, develop hypotheses, drive analysis, and deliver data-driven insights and recommendations.Statistical Analysis: Conduct complex statistical and data-mining analyses using tools like Python libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn), R, SAS, and MATLAB. Lead rigorous exploratory analysis across large datasets and synthesize insights.Customer Interface: Engage with internal customers for requirements analysis and special requests. Derive insights, collaborate with business units to determine actions and KPIs, and present high-quality recommendations for executive-level consumption.Model Development: Develop complex analytical models, algorithms, and automated processes, applying SQL and Python programming to cleanse, integrate, and evaluate large datasets.Collaboration: Work with product and service teams to identify key questions for data analysis and experiments. Facilitate the creation of analytical and data science products for the service supply chain, leveraging advanced data analytics.Communication: Communicate insights and findings from analyses to product, service, and business management to measure effective business processes.Documentation: Maintain comprehensive documentation of methods, processes, analyses, and findings to ensure transparency, reproducibility, and knowledge sharing within the team and organization.

TECHNICAL SKILLS:

In-depth understanding of supply chain management principles and practices.Proficient in SQL coding, Python libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn), and R programming languages.Advanced working knowledge of Microsoft Excel.Hands-on Data engineering experience with big data technologies such as Hadoop, Databricks, Apache Spark and Tableau Prep.Practical experience with data science platforms like Cloudera or Databricks ML.Skilled in using Tableau Desktop or Power BI for data visualization.Experience in developing and implementing machine learning models to optimize supply chain processes, including clustering, similarity models, causal inference and recommendation engines.Knowledgeable in problem-solving methodologies such as Lean and Six Sigma (DMAIC).

REQUIREMENTS/EDUCATION:

Master’s degree in Operations Research, Engineering, Computer Science, Statistics, or another quantitative field.GPA of 3.0 or above preferredSkills in Data Science and Business Analytics

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.Hands-on experience in Databricks ETL, data ingestion, business intelligence, and AI.Hands-on experience in recommendation engines and similarity models.Excellent MS Excel skills.Data Science Certifications

Qualifications

Education:

Master's Degree

Skills:

Certifications:

Languages:

Years of Experience:

2 - 4 Years

Work Experience:

Additional Information

Time Type:

Full time

Employee Type:

New College Grad

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

U.S. Salary Range:

$119,500.00 - $164,500.00

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related 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 committed to diversity in the workplace. All 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.