Data Scientist
Ask.com
Job Description
Us
We’re Ask.com’s search intelligence team: a fast-moving, data-driven, product-oriented group that builds systems and models that improve the way Ask.com responds to the user. A group of data scientists and software engineers, we focus on natural language processing and text classification. We love data, building models, running experiments, and then writing efficient, high-quality software that turns data insights into data-driven products.
You
You’re a bright, versatile scientist/engineer that:
- Is comfortable working in a fast-paced environment and can adapt to shifting conditions, priorities, or deadlines.
- Is meticulous and detail-oriented.
- Is a self-starter.
- Documents code, research, and findings.
- Possesses strong communication skills for both a technical and non-technical audience.
- Has a talent for solving problems.
- Read the About Us paragraph and thought, “that’s totally me!”
Your task
- Design, develop, and launch new text classifiers.
- Produce and document efficient, low-defect code and solutions.
- Participate in a full project life-cycle environment: design, build, test, release, support, enhance.
- Improve and enhance the product’s technology by bringing new ideas and methods into the team.
- Work closely with other team members as well as horizontally with other groups at Ask.com to implement new and improve existing products, services, and technology.
Your skills
Candidates that are a good fit usually possess the following traits:
- Completed post-graduate study in natural language processing, machine learning, information retrieval, or related areas.
- Comfort with programming in Python, R, or Java. (Python is a plus.)
- Experience with some of the following: SQL, NoSQL; Git; Solr; Hadoop; C/C++; Ruby.
- Experience working with some kind of language data.
- Familiarity with existing tools such as NLTK, Weka, scikit-learn.
- Ability to develop prototypes based on proprietary or open source tools.
Interested in this position?
Job Location
Oakland, CA
Additional Job Details
Employment Type:
Full Time
Full Time