Lead Data Scientist

Job Description

Data Scientist and be at the forefront of innovative health solutions. Our mission is to save lives by advancing the prevention and treatment of diseases, and our team is dedicated to workforce analytics, serving HR and the workforce as our clients. As a key member of our team, you will design and implement advanced models, enhance AI/ML capabilities, and collaborate with various stakeholders to deliver actionable insights. If you are driven by curiosity and have a knack for solving complex problems, this is the perfect opportunity for you to make a difference. Your Core Responsibilities Design, develop, enhance, and implement models that delve deep into our workforce data, ensuring high standards of quality, relevance, and usability Boost AI/ML capability within the team, using the latest methods and tools to extract insights from text, activity, behavioral, and network data Develop and deploy solutions that are robust, scalable, and meet the needs of a diverse user base, including supporting an LLM-based app in production with thousands of users Collaborate with data scientists, data engineers, devops engineers, solution architects, and the data science community of practice, to amplify data science capabilities and drive innovation Work closely with our client-facing teams to address business needs, providing research solutions that are both insightful and actionable Act as an AI/ML expert, advising HR colleagues and end users on the best usage within the HR domain Technically lead and mentor a team of data scientists and data engineers, fostering a collaborative and innovative environment Manage research projects from inception to completion, ensuring agile delivery and alignment with business goals, while also managing relationships and influencing non-technical stakeholders Who You Are (Education minimum requirements subject to change based on country) You are ready if you have: Minimum of 10 years of experience in data science or machine learning engineering with a Bachelor s degree from an accredited institution in Computer Science, Data Science, Machine Learning, Statistics, or another related field. (With a Master s degree, minimum experience is 8 years) Expertise in using Python, R, and SQL to execute a solid portfolio of data science projects involving statistical inference, classical machine learning, and deep learning frameworks Solid understanding of NLP tools, methods, and pipeline design, including experience using large language models (LLMs) Proven leadership in team project settings Experience with cloud computing platforms, such as AWS and Databricks, and related tools Familiarity with version control systems Openness to coaching and learning from team members with different specializations Exceptional initiative, curiosity, communication skills, and a team-first orientation Demonstrated interest in projects focused on the workforce Familiarity with product management and agile methodologies