Job Description :

Job Title: Principal Data Scientist

Location: Mountain View, CA(Remote)

Duration: Fulltime role  

End Client: Medical Fitness Domain


Java, Python, Algorithms, Data Science, Scala, Data Modeling, Deep Learning, C++, Time Series model, model deployment, R, GPU

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.

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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