Applied Materials

Data Scientist II - New College Grad - (B2)


Pay$100000.00 - $137500.00 / year
LocationSanta Clara/California
Employment typeFull-Time

This job is now closed

  • Job Description

      Req#: R2315724

      Key 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

      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., Hadoop)
      • Basic understanding of machine learning concepts
      • Excellent communication and teamwork abilities

      Functional Knowledge

      • Demonstrates expanded conceptual knowledge in own discipline and broadens capabilities

      Business Expertise

      • Understands key business drivers; uses this understanding to accomplish own work

      Leadership

      • No supervisory responsibilities but provides informal guidance to new team members

      Problem Solving

      • Solves problems in straightforward situations; analyzes possible solutions using technical experience and judgment and precedents

      Impact

      • Impacts quality of own work and the work of others on the team; works within guidelines and policies

      Interpersonal Skills

      • Explains complex information to others in straightforward situations

      Education: Master's Degree

      Experience: 0 – 2 Years

      · 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., Hadoop)

      · Basic understanding of machine learning concepts

      · Excellent communication and teamwork abilities

      #LI

      Qualifications

      Education:

      Bachelor's Degree

      Skills

      Certifications:

      Languages:

      Years of Experience:

      2 - 4 Years

      Work Experience:

      Additional Information

      Travel:

      Yes, 10% of the Time

      Relocation Eligible:

      No

      U.S. Salary Range:

      $100,000.00 - $137,500.00

      The salary offered to a selected candidate will be based on a number of factors including location and level and will vary depending on confirmed job-related knowledge, skills, and experience. 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.

      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.

  • About the company

      Applied Materials, Inc. is an American corporation that supplies equipment, services and software for the manufacture of semiconductor chips for electronics, flat panel displays for computers, smartphones and televisions, and solar products.

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