Manager - Data Scientist

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • Semiconductor • Manufacturing
The Role
Lead and grow a data science team to design, develop, and deploy statistical models and data pipelines. Oversee data acquisition, database design, advanced analytics (R, SAS, MATLAB), and production code (SQL, PHP/Python). Partner with stakeholders to define KPIs, communicate insights, manage project priorities, hiring, training, and performance management.
Summary Generated by Built In

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge 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 push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. 

What We Offer

Location:

Bangalore,IND

You’ll 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 customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. 

At Applied Materials, we care about the health and wellbeing of our employees. We’re 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

Key Responsibilities

  • Supervises project teams(subject matter experts) that design and develop program methods, processes and systems to consolidate and analyze structured and unstructured, diverse "big data" sources.
  • Builds capability(teams methodologies) to 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.
  • Builds and manages team 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.
  • Communicates insights and findings from analysis and experiments to product, service and business management to be incorporated into the measuring of effective business processes        
  • Responsible to plan project priorities, resource planning and allocation. Communicates the groups capabilities.   
  • Responsible for hiring the right resources and implementing appropriate training plans to enhance strength of the team. Responsible for performance management and employee development. Ensures execution of training and certifications

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

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

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

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.

Skills Required

  • Experience supervising and building data science project teams
  • Proficiency with statistical and data-mining tools: R, SAS, MATLAB
  • Strong SQL skills and experience with database design and data acquisition systems
  • Programming experience in PHP or Python for data processing and automation
  • Experience designing and developing analytical models and algorithms
  • Ability to interface with internal customers for requirements analysis and KPI definition
  • Experience planning project priorities, resource allocation, and scheduling
  • Hiring, training, performance management, and employee development experience
  • Ability to communicate insights and recommendations to product, service, and business management

Applied Materials Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Applied Materials and has not been reviewed or approved by Applied Materials.

  • Healthcare Strength Company materials emphasize comprehensive medical, dental, vision, mental health, and wellness programs for employees and families, with coverage beginning on day one in many cases. On-site or virtual care options at major campuses further reinforce the breadth of support.
  • Leave & Time Off Breadth Exempt employees are offered a Flexible Time Off program and U.S. teams observe 11 paid company holidays. These policies are consistently highlighted across official benefits summaries.
  • Equity Value & Accessibility An Employee Stock Purchase Plan is widely available and presented as a core part of the U.S. package, alongside equity grants in many roles. These ownership elements are positioned as meaningful contributors to total rewards.

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The Company
HQ: Santa Clara, CA
23,282 Employees
Year Founded: 1969

What We Do

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.

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