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A leading company is seeking a talented Sr. Data Scientist to join their IT Data & Analytics team. This role involves providing strategic direction on AI and ML to optimize business functions, collaborating with cross-functional teams, and developing advanced data models. The ideal candidate will have extensive experience in data science, strong analytical skills, and proficiency in relevant technologies.
Lensa is the leading career site for job seekers at every stage of their career. Our client, Envista Holdings Corporation, is seeking professionals. Apply via Lensa today!
Envista is seeking a talented and innovative Sr. Data Scientist to join our IT Data & Analytics team. This role requires a Data Scientist who can provide thought leadership and strategic direction on how artificial intelligence (AI) and machine learning (ML) can be utilized to optimize various business functions. They will work closely with stakeholders using an agile project management framework to plan, design, and execute projects that leverage AI and ML technologies.
The Sr. Data Scientist will develop strategic capabilities in AI/ML, designing and implementing strategies to understand and impact business processes. They will partner with cross-functional teams to build operational AI/ML capabilities, define operating metrics, and enable predictive analytics. The role involves staying current with advancements in machine learning and framing business questions from a data science perspective to derive data-driven solutions. It also includes designing and applying advanced models in statistical analysis, bioinformatics, data automation, data mining, machine learning, and data visualization.
Salary Range: $96,300 - $178,900. Actual compensation depends on various factors including location, skills, experience, and organizational needs. Benefits may include bonuses, health benefits, 401K, and others.
Envista is a global family of trusted dental brands, committed to improving lives through innovative products and solutions. We are an equal opportunity employer and value diversity.