Manager - Data Scientist

Applied Materials India; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Applied Materials India in Bengaluru is seeking a data analytics professional to lead project teams that consolidate and analyze diverse data sources. You will drive insights that inform decisions and contribute to the development of advanced analytics capabilities within a global materials engineering context.

The role involves interfacing with internal customers, designing data architectures, and guiding developers in SQL, Python, and related tools to deliver actionable business insights.

Responsibilities

• Supervises project teams that design and develop program methods, processes and systems to consolidate and analyze structured and unstructured, diverse 'big data' sources.
• Builds capability to perform 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 units 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.

Job description

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.

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.