Senior Data Scientist

Posted 17 Days Ago
Be an Early Applicant
Tel Aviv
Senior level
Big Data • HR Tech • Mobile • Software • Database
We Actively Connect People to Their Next Great Opportunity.
The Role
As a Senior Data Scientist, you will develop machine learning models to improve candidate-job matching and other innovative solutions. You will work with a team to write production-level code, enhance existing models, and tackle complex problems in areas like recommendations and NLP.
Summary Generated by Built In

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)

For Israel-based positions, we encourage working from our Sarona, Tel Aviv office a few days a week, meeting your colleagues, and having a flexible work environment.

Our Mission: 

To actively connect people to their next great opportunity. 

Who We Are: 

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects job seekers with millions of businesses of all sizes through innovative mobile app, web, and email services, as well as partnerships with the best job sites on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. 

Summary of Job:

We use machine learning and deep learning algorithms to create models that solve challenging problems related to matching the best candidates to jobs and vice versa.

We're looking for an experienced Data Scientist with a passion for problem-solving to join our team of data scientists and help solve new or existing challenges. Coming up with new models, developing high quality, high-performance code and constantly improving the solution and expanding its scope.

Key focuses:

  • You'll be joining a team of data scientists and ML engineers working on interesting problems in the fields of recommendations, search and NLP
  • Develop production-level code that runs and trains ML models

Minimum Requirements:

  • Master's degree or higher in Computer Science / Mathematics / Statistics or equivalent 
  • 7 + years of experience in machine learning
  • Proficiency in Python programming language
  • Extensive software engineering background with excellent programming skills.
  • Strong background in machine learning and related fields
  • Team player with excellent communication skills
  • Acting and thinking as an owner, with production environment in mind
  • Fluent in English

Prefered Qualifications:

  • Familiarity with Deep Learning - an advantage
  • Experience with Linux environment, AWS - an advantage

As part of our team you’ll enjoy:

  • Competitive salary
  • A fun environment where work-life balance is valued

ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Top Skills

Python
The Company
HQ: Santa Monica, CA
1,100 Employees
Hybrid Workplace
Year Founded: 2010

What We Do

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as partnerships with the best job boards on the web. We're growing rapidly in pursuit of this mission, and we're always looking for talented people to join our team. Visit ziprecruiter.com/careers to view our open roles.

Why Work With Us

We are committed to nurturing an environment where every person feels welcomed, valued, heard, and respected. We embrace and encourage our employees’ differences, and we consistently review our overall equality—including recruitment and selection, compensation and benefits, promotions, and more—to stay relevant in this space.

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