job summary:
Data Analyst
Job Duties:
Job Duties:

• Design and build new data set processes for modeling, data mining, and production purposes.
  
• Determine new ways to improve data and search quality, and predictive capabilities.
  
• Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources.
  
• Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis.
  
  
• Minimum Qualifications- PhD in Computer Science, Statistics or related field; OR a Master?s degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience.-
  
• Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field. -
  
• Programming skills in one of the following languages: Java, Scala, C/C . -
  
• Knowledge of one of the scripting languages such as Python or Perl. -
  
• Experience analyzing and interpreting the results of product experiments.
  
• Knowledge of statistical languages such as R. -
  
• Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark). - Working knowledge of Relational Data Base Systems and SQL. -
  
• Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set.-
  
• Excellent communications and organizational skills -
  
• Prior experience in this area with eCommerce or Online Retail would be a plus.

Top skills:
Data - SQL, python JCP environment - communicate to business - building predictive models in python, exp implementing in production environment (javascript)
Preferred skills: at least 2 years experience, test abilities, could they translate business question to technical requirements (~2yr exp)
o Has done some kind of fraud detection - model detection,
o Could have Finance background
§ Exp in customer behavior analysis
· What will this person's day-to-day responsibilities be? Ability to explore data source, reporting, in depth analysis, graphing, - predictive modeling in python or javascript, implementation of model
Project: Fraud detection project - models used to identify fraudulent behaviors in system

location: Sunnyvale, California
job type: Contract
salary: $45 - 47 per hour
work hours: 8am to 5pm
education: No Degree Required

responsibilities:
What will this person's day-to-day responsibilities be? Ability to explore data source, reporting, in depth analysis, graphing, - predictive modeling in python or javascript, implementation of model
· What is the project this person will be working on? How will this person be contributing to the project? Fraud detection project - models used to identify fraudulent behaviors in system

qualifications:

• Experience level: Experienced
• Minimum 3 years of experience
  
• Education: No Degree Required

 
skills:

SQL (3 years of experience is required)

Python (3 years of experience is required)

Data Analysis

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.

We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.