Job Description :

Job Title: Staff Data Scientist

Location: Mountain View, CA(Remote)

Duration: Fulltime role  

End Client: Medical Fitness Domain

We are looking for an Experienced data scientist with a track record of delivering results. You find satisfaction in leading collaborations with partners and shipping changes that deliver measurable business impact. We are looking for a Staff 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.
Software engineering experience in a production environment, especially for Time Series models, Deep Learning models training and Model deployment.
Build learning systems to analyze and filter continuous data flows and offline data analysis.
Creating and improving team processes and setting a technical team vision and strategy.
Mentoring junior data scientists


  • 6+ years of industry experience with data science.
  • MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent.
  • 4+ years of hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, tree-based methods, neural nets, support vector machines, anomaly detection, and natural language processing.
  • Research, explore, and enable new quantitative techniques and technologies in data science
  • Perform hands-on data analysis and modeling with huge data sets.
  • Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
  • Communicate key analytic findings within the business and to senior stakeholders
  • Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products

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