Lead Data Scientist.

2 weeks ago

San Francisco, United States Diverse Lynx Full time
Role- Lead Data Scientist. / Sr. Engineer
Location- Los Angeles, CA & Seattle, WA
Duration- Full Time

Rate- $110 - $115K Annually

JD:
  • Have 7 - 10 years of experience in analyzing large volumes of data and building predictive models.
  • Bachelors Degree/Masters Degree in Computer Science, Mathematics, Statistics, Computer Engineering.
  • Exposure to Healthcare / Pharma informatics would be an added advantage

Key Responsibilities:
  • Leveraging AI/Client techniques and solutions to Identify and mathematically interpret complex problems.
  • Deploy and optimize machine learning solutions on massive datasets using big data technologies.
  • Develop and prototype AI algorithms and software tools
  • Implement enhancements to existing algorithmic / Machine Learning solutions.
  • Conduct quantitative data analysis using a variety of datasets.
  • Increase the efficiency and improve the quality of solutions offered.
  • Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders.
  • Build and deploy additional functionalities as per client requirements.
  • Should be able to contribute to Applied Client research projects.
  • Should be an end-to-end Client problem solver.
  • Should have good understanding of the Business needs of the project.
  • Leverage recent advances in machine learning technologies and oversee the team's training.
  • Lead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to problems.
  • Independently own and lead a product segment or area of research in Data Science divisions.
  • Take ownership of product completeness and deliveries
  • Takes initiatives in innovation and research areas of Product development.
  • Hands-on experience in analytics techniques such as outlier detection, clustering, classification, regression, and hypothesis testing
  • Have an excellent academic background with strong Hands-on Knowledge of Python OR Scala
  • Hands-on Software Development Skills (Scala-Preferred)
  • Understands the core concepts of Machine Learning and the Maths behind it, good knowledge of existing Client tools and technologies.
  • Know all the general best practices of Machine Learning and able to understand the internals of popular Client tools and as per the need able to modify existing popular tools and algorithms as per the need.
  • Knowledge of statistical techniques, linear algebra, numerical optimization
  • Excellent Communication Skills (with the ability to explain developed tools and Client algorithms to a non-technical audience)
  • Strong analytical, inferential, critical thinking, and creative problem-solving skills
  • Self-starter with ability to work both independently and with a team.

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