AI/ML Manager - (B4)
Key Responsibilities:
Works in project teams as subject matter expert to design and development of program methods, processes and systems to consolidate and analyze structured and unstructured, diverse "big data" sources
Performs complicated statistical and data -mining analysis, using statistical tools like R, SAS and MATlab input and design of data acquisition systems, data structure and database design.
Interfaces with internal customers for requirements analysis and special requests and schedules; derives insights and works with business unties to determine actions and KPI for those actions
Works in project teams developing difficult analytical models, algorithms and automated processes, applying SQL understanding and PHP or Python programming, to cleanse, integrate and evaluate large datasets.
Interacts with product and service teams to identify questions and issues for data analysis and experiments; Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics, based on a very good knowledge of the business processes and needs
Communicates insights and findings from analysis and experiments to product, service and business management to be incorporated into the measuring of effective business processes
Education: Bachelor's degree
10+ years of relevant experience
Functional Knowledge
- Demonstrates depth and/or breadth of expertise in own specialized discipline or field
Business Expertise
- Interprets internal/external business challenges and recommends best practices to improve products, processes or services
Leadership
- May lead functional teams or projects with moderate resource requirements, risk, and/or complexity
Problem Solving
- Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions
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Impact
- Impacts the achievement of customer, operational, project or service objectives; work is guided by functional policies
Interpersonal Skills
- Communicates difficult concepts and negotiates with others to adopt a different point of view
Qualifications
Education:
Bachelor's Degree (Required)
Skills
Big Data Mining, MATLAB, R Programming, Statistical Analysis Software (SAS)
Certifications:
Languages:
Years of Experience:
7 - 10 Years
Work Experience:
Additional Information
Shift:
10-Day 8-Hr (United States of America)
Travel:
Yes, 10% of the Time
Relocation Eligible:
No
Referral Payment Plan:
Employee Referral (Standard)
U.S. Salary Range:
$148,000.00 - $203,500.00
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.
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA With Employer Contribution
- HSA With Employer Contribution
- Health Reimbursement Account
- FSA
- HSA
- On-Site Gym
- Pet Insurance
- Mental Health Benefits
Parental Benefits
- Birth Parent or Maternity Leave
- Fertility Benefits
- Adoption Leave
- Non-Birth Parent or Paternity Leave
- Adoption Assistance Program
- Family Support Resources
- On-site/Nearby Childcare
Work Flexibility
- Flexible Work Hours
- Work-From-Home Stipend
Office Life and Perks
- On-Site Cafeteria
- Commuter Benefits Program
- Casual Dress
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Unlimited Paid Time Off
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Stock Purchase Program
- 401(K)
- Performance Bonus
- Relocation Assistance
- Financial Counseling
Professional Development
- Tuition Reimbursement
- Access to Online Courses
- Internship Program
- Work Visa Sponsorship
- Associate or Rotational Training Program
- Promote From Within
- Mentor Program
- Shadowing Opportunities
Diversity and Inclusion