Role - Lead Data Scientist / Sr. Engineer
Location: Los Angeles, CA & Seattle, WA
Duration: Full Time
Job Description: 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:
- Leverage 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.
- Contribute to applied client research projects.
- Be an end-to-end client problem solver.
- Have a good understanding of the business needs of the project.
- Leverage recent advances in machine learning technologies and oversee team training.
- Lead a team of Data Scientists, developers, and 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.
- Initiate innovation and research areas of product development.
- Have hands-on experience in analytics techniques such as outlier detection, clustering, classification, regression, and hypothesis testing.
- Possess an excellent academic background with strong hands-on knowledge of Python or Scala.
- Have hands-on software development skills (Scala preferred).
- Understand the core concepts of Machine Learning and the mathematics behind it, with good knowledge of existing client tools and technologies.
- Know all general best practices of Machine Learning and be able to modify existing popular tools and algorithms as needed.
- Have knowledge of statistical techniques, linear algebra, and numerical optimization.
- Exhibit excellent communication skills, with the ability to explain developed tools and client algorithms to a non-technical audience.
- Demonstrate strong analytical, inferential, critical thinking, and creative problem-solving skills.
- Be a self-starter with the ability to work both independently and with a team.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence, and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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