Job Opening For Team Lead - Lead Data Scientist

Requirements

  • At least 10+ experience in a technology centric business with 5+ years leading data led initiatives.
  • An advanced degree in Business or Engineering with a background in Computer Science, Engineering, Mathematics, Statistics, Math or any combination thereof.
  • Expertise in leveraging advanced techniques in areas such as deep learning, NLP, classification, predictive modeling, etc.
  • Expertise in advanced data science and computational concepts and techniques, machine learning, statistical analysis, and stochastic optimization.
  • Expertise in identifying problems that could benefit using data science methods, working with client and internal leaders.
  • Experience in breaking down the identified problems into smaller projects that deliver increasing yields.
  • Programming abilities in one high level language, preferably Python and R.
  • Strong project management abilities, ideally using agile methodologies
  • Experience with big data – data warehouses, data lakes, and related technologies.
  • Strong communication, project management and technical leadership skills with an enthusiasm for working in an interdisciplinary environment.
  • Experience with healthcare data (Electronic Health Records, claims data) is preferred.
  • Knowledge of principles of medical economics, clinical data based decision systems, predictive modeling of health data from clinical, financial and personal sources would be useful.

Software development experience is a plus

Apply

Contact Information

careers@veehealthtek.com - 646-837-0837

careers@veehealthtek.com

Prabhakaran Subramanian - 95664 37666

prabhakaran.su@veehealthtek.com

Nilesh Akhade - 8446998877

nilesh.a@veehealthtek.com

Vee Healthtek’s Assessment Partner

Download App
googleplay ios
Disclaimer - Vee Healthtek Pvt. Ltd. offers training, professional development, and fellowship opportunities to all selected candidates and employees, and maintains a zero-tolerance policy against unlawful discrimination, in all of its activities and operations. Selection for employment is purely based on merit and the candidate's ability to perform the expected duties.