Data Scientist IV (E4)
Austin,TX
Applications have closed
Applied Materials
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 DegreeSkills:
Certifications:
Languages:
Years of Experience:
7 - 10 YearsWork Experience:
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes, 10% of the TimeRelocation Eligible:
YesU.S. Salary Range:
$144,000.00 - $198,000.00The 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.
Tags: Big Data Computer Science Data analysis Data Analytics Engineering Industrial Machine Learning Matlab PHP Python R SAS SQL Statistics
Perks/benefits: Career development Equity Relocation support Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Intern jobs
- Open Data Engineer II jobs
- Open Business Intelligence Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Marketing Data Analyst jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Research Scientist jobs
- Open Principal Data Scientist jobs
- Open Big Data Engineer jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs