Data Scientist/Advanced Analytics/ML in manufacturing environment

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

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

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

Qualifications:

• Bachelor’s Degree in areas of Computer Science, Engineering, Mechanical, Industrial Engineering etc.
• Master’s Degree in Computer Science is preferred.
• 7 to 10 years of Experience in application of ML (Machine Learning) in support of manufacturing environment.
• Preferred experience with Semiconductor equipment / Manufacturing industry.
• Ability to collaborate with cross functional teams and have excellent communications skills.
• Have key achievements as a DS professional and initiatives that have transformed business.

Qualifications

Education:

Bachelor's Degree

Skills

Certifications:

Languages:

Years of Experience:

7 - 10 Years

Work Experience:

Additional Information

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes