Data Scientist

Data Scientist

Location: Sunnyvale, CA

Sponsorship: Yes

Relocation: Yes

Industry: eCommerce

Are you an experienced Data Scientist with 2+ years’ experience who likes solving complex problems? Do you want to work for a rapidly-expanding technology division within a top Fortune 500 company that is driven by Data Science? Would you like to be part of a high caliber team who have access to huge volumes of real-time data?

An exciting, top Fortune 500 company in Sunnyvale is looking for a talented Data Scientists to join their growing team. This is a fantastic opportunity to join a vibrant company and work as part of a diverse and talented Data Science team.

As a Data Responsibilities will include:

• Perform hands-on data exploration and modeling work on massive data sets.
• Use data mining and machine learning techniques to develop robust models in areas such as segmentation and profiling, churn assessment, customer loyalty prediction, retention analysis, and product recommendation.
• Pull data from warehouse, back-test models, perform feature engineering, compare model performances and communicate the results.
• Architect, develop, and maintain data analytics platforms that visualize data and drive business insights that can be translated into product strategies and marketing decisions.
• Research state of the art modeling techniques and implement them.

For this role you will need:

• Technical expertise in data mining, machine learning, NLP, Information Retrieval, and statistical analysis.
• Proficient in machine learning and data mining packages in R, Python, or Weka.
• Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark).
• Expertise with shell scripting and automation.
• Capabilities of managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set.
• Experience with reporting tools such as Tableau and D3.js.
• 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.
• Ability to work independently in a fast-paced, iterative development environment.
• Exemplary communication skills, ability to work with large cross functional teams of technical and non-technical members.

Preferred Qualifications

• Programming skills in one of the following languages: Java, Scala, C/C++ preferably on a UNIX or Linux platform.
• Experience with ETL and Data-Warehouse.
• Prior experience in eCommerce or Online Retail.

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