Job Description :

Job Title: Principal Data Scientist

Location: Mountain View, CA(Remote)

Duration: Fulltime role  

End Client: Medical Fitness Domain

Our client is looking for a Principal Data Scientist to join our team and advance our mission of improving metabolic health and reverse chronic diseases using IoT and Machine Learning.

Job Description:

  • Using data science to drive measurable business impact.
  • Deeply understanding customer needs and designing appropriate metrics to improve how products meet those needs.
  • Train algorithms to apply models to new data sets. Validate models and algorithmic techniques.
  • Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships.
  • Software engineering experience in a production environment, especially for Time Series models , Deep Learning models training and model deployment.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions.
  • Creating and improving team processes and setting a technical team vision and strategy.
  • Mentoring junior data scientists
  • Publications or presentations in recognized ML journals or conferences


  • 8+ years of industry experience with data science.
  • MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent.
  • 5+ years of hands-on Data Science experience building Models and partnering with stakeholders to make business decisions.
  • Experience in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models.
  • Experience writing code in Python, R, Scala, Java, C++ with documentation for reproducibility.
  • Experience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models.
  • Strong hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, Deep Learning methods, neural nets, anomaly detection, Recommendation, Ranking Models and natural language processing.
  • Strong problem-solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions.
  • Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.
  • Help to Hire and retain talent and provide mentorship to other Data Scientists in the team.
  • Excellent cross-functional communication skills.

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