Data Science Manager manages teams tasked with identifying trends, patterns, and anomalies found in big data sets and used to develop insights by performing extensive data analysis. Oversees the interpretation of results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Being a Data Science Manager manages the design and implementation of big data solutions for the organization. Uses extensive knowledge and research into big data tools to guide data scientists' adoption and use of new and existing tools. Additionally, Data Science Manager typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to senior management. The Data Science Manager manages subordinate staff in the day-to-day performance of their jobs. True first level manager. Ensures that project/department milestones/goals are met and adhering to approved budgets. Has full authority for personnel actions. To be a Data Science Manager typically requires 5 years experience in the related area as an individual contributor. 1 - 3 years supervisory experience may be required. Extensive knowledge of the function and department processes. (Copyright 2024 Salary.com)
Position Title: Data and Machine Learning Scientist
About Catalytic Data Science (CDS):
Catalytic Data Science is a groundbreaking cloud R&D platform designed to integrate the volumes of scientific resources, data, and analytic tools while providing the ability to network with colleagues in one secure and scalable environment. By enabling R&D teams to work more collaboratively and improving productivity company-wide, the Catalytic platform helps teams achieve key R&D milestones faster and with greater accuracy. Our customers are passionate about making the world a better place, and we are inspired by the opportunity to help them.
Who You Are
A self-motivated data scientist with machine learning (ML) experience. You are eager to help build a digital workspace with a direct impact on human health, pharmaceutical research, and Life Sciences companies. The successful candidate will be comfortable multitasking and working independently on multiple aspects of our platform. The position requires a strong technical background in machine learning with an emphasis on utilizing methods for understanding large scale biological data. This individual will contribute scientific, technical, and leadership expertise to a multidisciplinary team. He/She will report to the Chief Science Officer but will work closely with other company leaders to ensure company success.
Responsibilities
Qualifications
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.