General Profile:

Provides leadership to managers and professional staff in the advanced analytics area. Is accountable for the performance and results of multiple sites or related teams. Develops sub-function plans, including business, production and/or organizational priorities. Decisions are guided by resource availability and segment/functional objectives.

Job Responsibilities

  • Negotiate with customers to architect Data Science (AI/ML) application and platform solutions to address complex functional and technical requirements. Identify and establish industry BKM's for integrated solution design and standards.
  • Manages high performing team of data engineers, architects, and data scientists in delivering cutting edge AI/ML solutions to complex business requirements. Responsible for the Data Science lifecycle including data sourcing, processing, curation, model building, training/validation, and model deployment & operations using standard platform tools and following established processes and guidelines.
  • Manages the development of individual Data Science applications and platform strategies and roadmaps. Leads assessment of vendor products, roadmaps and next generation technologies and recommends additions/changes to Applied's enterprise Data Science architectural strategy and roadmaps.
  • Collaborates with cross functional globally distributed IT groups to plan, execute, deliver advanced analytics solutions in line with established processes, guidelines and guardrails of scope, timeline, budget, and quality. 
  • Attract, develop, and retain advanced analytics talent to continuously improve technical competence of the data science group.
  • Oversees/manages contingent workers performing AI/ML services across projects and/or service areas. Responsible for the offboarding of contingent workers in a timely manner. Manges contingent worker project/task assignments and ensure work product quality.

Skills and Qualifications

  • 12-15 years of overall experience designing, building, and leading the delivery of Data and Analytics solutions using industry standard data platforms and analytics tools in the areas of Supply Chain/Manufacturing/Engineering for semiconductor industry or other high-tech industries
  • Proven track record of developing and implementing Data Science solutions with Machine Learning algos like Regression, Decision Trees, Ensembling technics, Clustering, Bayesian Models, Recommender systems etc.; vision-based CNN Deep Learning models, RNN, RL models etc.
  • Extensive experience with open source frameworks and tools like Python, Pytorch, TensorFlow, Scikit Learn, Pandas, NumPy, Spacy, Cloudera Data Science workbench for model building and deployment.
  • Strong ML data engineering skills to source, process, curate data to be used by machine learning models; feature engineering involving all types of data – structured/unstructured, text, image, audio, video data is essential
  • Hands-on experience with MLOps frameworks like MLFlow, Kubeflow for experiment tracking, data versioning, assessing model drifts for perioding evaluation of health of models
  • Demonsrated ability to deliver high quality AI/ML solutions in a matrix organization solving complex business problems while navigating through ambiguity
  • Exposure to Cloudera Big Data Hadoop platform and Cloud data warehousing tools is a plus
  • Excellent written and verbal communication skills

Functional Knowledge

  • Demonstrates comprehensive understanding of concepts and principles within Advanced Analytics family and knowledge of Data and Visualization platforms

Business Expertise

  • Applies in-depth understanding of how knowledge of Analytics can be applied to segment/function business requirements


  • Manages multiple related teams, sets organizational priorities, and allocates resources. 

Problem Solving

  • Identifies and resolves complex technical, operational, and organizational problems.


  • Impacts the business results of a team or area by supporting and funding of projects, products, services and/or technologies and developing policies and plans guided by business unit, department, or sub-functional business plans

Interpersonal Skills

  • Influences others internally and externally, including senior management


  • Bachelor’s degree in computer science, Information Technology or Operations Research


  • Certification in areas of Machine Learning, Deep Learning, Python, and Big Data platforms.


12-15 Years



Bachelor's Degree




Years of Experience:

7 - 10 Years

Work Experience:

Additional Information


Yes, 10% of the Time

Relocation Eligible:


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


A global leader in the nanomanufacturing technology solutions for the electronics industry, Applied Materials is built on the strength of talented people. We offer a wide variety of job opportunities for experienced professionals and recent college students/graduates that will capitalize on your current skills while broadening your experience and engaging you in a dynamic, fast-changing industry.

Here, you will work in community to achieve a common goal and encounter exciting new challenges every day. Our company is continually evolving: implementing innovations to make semiconductors more portable, powerful, and affordable than ever before.

Employee Benefits:

  • Dental Insurance
  • Employee Assistance Program
  • Life Insurance
  • Paternity Leave
  • Custom Work Station
  • Disability Insurance
  • Gym/ Wellness Reimbursement
  • Health Savings Account (HSA)
  • Maternity Leave
  • Paid Time Off
  • Sick Leave
  • On Site Gym/ Fitness Classes, Clinic (Site Dependent) 

What Happens After I Apply?

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