Data Scientist New College Grad - Masters Degree (Santa Clara, CA)

Applied Materials • Santa Clara, CA

1d

About The Position

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

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
• 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
• No supervisory responsibilities but provides informal guidance to new team members
• Explains complex information to others in straightforward situations

Nice To Haves

• 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)

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level