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Applied Materials Data Scientist United States, Illinois 876700286
Yesterday
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Responsibilities
- Formulate and lead guided, multifaceted analytic studies against large volumes of data.
- Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
- Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
- Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
- Develop, productize and maintain machine learning and optimization models according to requirements to transform our product into an innovative industry leader
- Analyze problems and determines root causes.
- Work with stakeholders including the Product management, Data and Design teams to build models.
- Support our customers with their data science and optimization problems using our product
Qualifications
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience working with ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres, Cassandra, MongoDB.
- Experience with cloud AI services from AWS, Google, Azure
- Experience with optimization tools: Gurobi, CPLEX, etc.
- Experience withobject-oriented/objectfunction scripting languages: Python, Java, C++, Scala, etc.
Education/Experience
- Candidate with 7+ years of experience in a Data Scientist role, who has attained a Graduate degree in Operations Research, Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
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