Data Scientist New College Grad - Masters Degree (Santa Clara, CA)
About The Position
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 Salary: $119,500.00 - $164,500.00 Location: Santa Clara,CA 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 .
Requirements
- Master’s in computer science, Data Science, or a related field
- Strong analytical and problem-solving skills
- Proficiency in data manipulation and analysis using tools like Python, R.
- Proficiency in database query languages like SQL, Hive, Pig is desirable.
- Familiarity with Scala, Java, or C++ is an added advantage.
- Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Databricks)
- Basic understanding of machine learning concepts
- Excellent communication and teamwork abilities
- Demonstrates expanded conceptual knowledge in own discipline and broadens capabilities
- Understands key business drivers; uses this understanding to accomplish own work
- Solves problems in straightforward situations; analyzes possible solutions using technical experience and judgment and precedents
- Impacts quality of own work and the work of others on the team; works within guidelines and policies
- Explains complex information to others in straightforward situations
Responsibilities
- Supports the design and development of program methods, processes, and systems to consolidate and analyze structured and unstructured, diverse "big data" sources
- Supports ad-hoc statistical and data mining analysis, using statistical tools like R, SAS and MATlab
- Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis
- Supports project teams to develop analytical models, algorithms, and automated processes, applying SQL understanding and Python programming, to cleanse, integrate and evaluate large datasets.
- Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics
- Create visualizations and reports to communicate findings effectively to both technical and non-technical stakeholders
- Conduct hypothesis tests to validate assumptions and make data-driven decisions
- Develop, implement, and fine-tune machine learning models to solve specific business problems, such as predictive analytics, recommendation systems, or demand forecasting
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
