Applied Materials
Data Scientist (Analytic Engineer)
Job Description
-
7-10 years of experience in the industry
-
Locates and extracts data from various information systems, such as Hadoop and BPC, for use in analytics solutions.
-
Provides documentation of Hadoop data taxonomy for key datasets including, but not limited to, schema and attribute descriptions, leveraging existing meta-data on the bigdata.
-
Performs data de-bugging, validation and testing and makes recommendations on data cleaning and/or transformations to enhance data fidelity.
-
Prepare clean, transformed data from multiple data sources ready for analysis
-
Identify opportunities for enriching and integrating data from multiple, diverse sources.
-
Identify and design new model features and implement them in our product.
-
Establish standardized data, implement code version control, schedule workflows, and develop business and schema tests.
-
Able to work both independently and in a team environment
-
Experience with SQL, Python, or other scripting languages.
-
Good document tracking strategies
-
Work with the development team to identify, document, and resolve software issues
-
Work with a cross-functional agile team that is responsible for multiple projects
-
Excellent document maintenance procedures
-
Documenting and communicating results
-
Knowledge of statistical concepts
-
Proficiency in conducting exploratory data analysis (EDA) and applying various analytical techniques to uncover insights from data
-
Effectively visualize and communicate findings using data visualization tools (e.g., Tableau, Power BI)
Qualifications
Education:
Bachelor’s Degree
Skills:
Certifications:
Languages:
Years of Experience:
7 – 10 Years
Work Experience:
Additional Information
Time Type:
Full time
Employee Type:
Assignee / Regular
Travel:
Yes, 10% of the Time
Relocation Eligible:
Yes
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.
