Sr R&D Manager

Honeywell-posted 3 months ago

$170,000 - $213,000/Yr

Full-time • Senior

Buffalo, NY

5,001-10,000 employees

Merchant Wholesalers, Durable Goods

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The Senior R&D Manager for the Data Science Team will lead our data-driven initiatives by leveraging advanced analytics and innovative methodologies. The right candidate will guide a team of data scientists, analytics professionals, and researchers in developing cutting-edge solutions to support our strategic goals. This position requires a strong technical background, expertise in data science methodologies, and leadership skills to foster collaboration and creativity within the team.

Lead, mentor, and manage a team of data scientists and researchers in the analysis, modeling, and interpretation of complex data sets.
Oversee multiple projects from conception through implementation, ensuring they are completed on time and within budget.
Drive the development of advanced statistical models, machine learning algorithms, and predictive analytics to enhance product offerings and operational efficiency.
Work closely with cross-functional teams, including R&D leaders, product management, and ISC, to integrate data-driven insights into business strategies.
Contribute to the strategic direction of the company by creating and implementing the roadmaps for implementing AI in material research.
Ensure data quality, integrity, and security in all projects, adhering to relevant regulations and best practices.
Establish and track key performance indicators (KPIs) to measure the impact of data science initiatives.

Master's or Ph.D. degree in Data Science, Computer Science, or related field.
At least 5+ years' experience working in the field of data science.
5+ years leadership experience.

Understanding of Material research.
Background in Chemical development.
Ability to lead, motivate, develop and mentor others.
Experience with new product and technology development in a highly regulated environment.
Ability to analyze and solve complex and challenging problems.
Effectively operate in a matrix organization.
Experience working in global teams across time zones.

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