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Sr. Data Scientist
San Francisco, California  |  Remote, Onsite
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Applied on December 4, 2022
Job Id #60171 Posted October 26, 2022


  • We are KPIs driven team that leverages Machine Learning (ML) to provide a personalized experience.
  • In this team, you would work with brilliant data scientists and engineers to build end-to-end solutions to meet product needs.
  • We are also very passionate about our engineering excellence and pride ourselves of releasing solid solutions to production.
  • We leverage state of art machine learning and strive for low latency solutions.

Team and Team size:

  • Data Science and Machine Learning team. The team current has two Principal Data Scientists, two Principal Machine Learning Engineers, one Senior Data Scientists and Tech interns.

Top Responsibilities:

  • Apply advanced statistical and predictive modeling techniques to data related to the optimization of healthcare and digital experiences
  • Propose innovative ways to look at problems using data mining, statistical analysis and machine learning
  • Support business needs around analytics, predictive modeling and business intelligence
  • Collaborate effectively with internal clients, transforming their needs into data science use cases
  • Provide on-going tracking and monitoring of performance of statistical models and recommend ongoing improvements to methods and algorithms

Required Qualifications:

  • Masters degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields of study
  • Ability to turn state-of-art research into production level codes
  • Experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques
  • Experience in python, Tensorflow, Pytorch and/or Pyspark
  • Ability to translate business need and requirements into technical solutions
  • Solid analytical and problem-solving skills

Preferred Qualifications:

  • Ph.D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields of study
  • Experience in developing and deploying models related to recommender system, NLP and time series forecasting
  • Experience in developing algorithms for search engines (e.g. name entity recognition, intent classification, spell correction, autocompletion), cold-start recommendation, semi-supervised learning (e.g. positive unlabeled learning)

Horizontal is proud to be an Equal Opportunity and Affirmative Action Employer. We seek to provide employment opportunities to talented, qualified candidates regardless of race, color, sex/gender including gender identity and/or expression, national origin, religion, sexual orientation, disability, marital status, citizen status, veteran status, or any other protected classification under federal, state or local law.

In addition, Horizontal will provide reasonable accommodations for qualified individuals with disabilities. If you need to request a reasonable accommodation in order to complete the application or interview process, please contact

All applicants applying must be legally authorized to work in the country of employment.


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Horizontal is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.


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