Director Of Data Science

Summary

Join Avetta, a leading software company in supply chain risk management, as their Director of Data Science. You will lead the data science function, setting strategic direction, managing a team, and integrating data-driven solutions across departments. This role requires a strong data science background, excellent leadership, and a proven track record of impactful data solutions. You will develop and execute the data science strategy, mentor a team, and collaborate with cross-functional teams. The ideal candidate will possess expertise in machine learning, statistical modeling, and proficiency in programming languages like Python or R. Avetta offers a competitive salary and a comprehensive benefits package.

Requirements

• Minimum of 8 years of experience in data science, with at least 3 years in a leadership role
• M.S. or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field

Responsibilities

• Develop and execute the overall data science strategy aligned with the company’s objectives
• Lead, mentor, and manage a team of data scientists, fostering a culture of collaboration and continuous learning
• Be able to dive deep into the data science details and pair with the data scientists as needed to help unblock their research
• Build a culture that fosters the use of “Generative AI” across R&D
• Oversee the development and implementation of advanced analytical models, algorithms, and predictive analytics to solve complex business problems
• Collaborate with cross-functional teams, including engineering, product management, and marketing, to identify opportunities for leveraging data to drive business growth
• Ensure the quality, accuracy, and integrity of all data science deliverables
• Stay abreast of the latest advancements in data science, machine learning, and AI technologies, and evaluate their potential application within the organization
• Drive the adoption of best practices in data science, including coding standards, model development, and validation techniques
• Present findings and recommendations to senior leadership and stakeholders in a clear and actionable manner

Preferred Qualifications

• Strong expertise in machine learning, statistical modeling, and data mining techniques
• Proficiency in programming languages such as Python, R, or Scala, and experience with data science tools and frameworks
• Excellent communication and presentation skills, with the ability to convey complex concepts to non-technical audiences
• Demonstrated ability to manage multiple projects and deliver results in a fast-paced environment
• Strong analytical and problem-solving skills, with keen attention to detail

Benefits

• Health, dental and vision insurance
• 401(k)
• Paid Time Off
• Professional development opportunities