Diverse Lynx
Lead Data Scientist. / Sr. Engineer
Diverse Lynx, Seattle, Washington, us, 98127
Job Title: Lead Data Scientist. / Sr. Engineer.Location:
Los Angeles, CA & Seattle, WA - OnsiteDuration: 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:
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 toolsImplement 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 deliveriesTakes initiatives in innovation and research areas of Product development.Hands-on experience in analytics techniques such as outlier detection, clustering, classification, regression, and hypothesis testingHave an excellent academic background with strong Hands-on Knowledge of Python OR ScalaHands-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 optimizationExcellent 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 skillsSelf-starter with 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.
Los Angeles, CA & Seattle, WA - OnsiteDuration: 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:
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 toolsImplement 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 deliveriesTakes initiatives in innovation and research areas of Product development.Hands-on experience in analytics techniques such as outlier detection, clustering, classification, regression, and hypothesis testingHave an excellent academic background with strong Hands-on Knowledge of Python OR ScalaHands-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 optimizationExcellent 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 skillsSelf-starter with 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.