Director, Machine Learning and Data Science

Summary

Join Loopio's Data Enablement Team as a Director, Machine Learning and Data Science, to lead a dynamic group of Machine Learning Engineers and Data Scientists. You will empower engineers, product, and data scientists with tools that enable and streamline data-driven decision-making, analysis, and feature development.

Requirements

• A minimum of 10 years in software engineering, with profound knowledge in machine learning or data science
• Leadership & Talent Management: Strong leadership background with proven ability to manage machine learning or data science teams in fast-paced environments
• Strategic Problem-Solving: Robust understanding of both business operations and technical/engineering principles, equipped with superior problem-solving skills to steer technical decision-making
• Proficient in distributed systems development using a microservices architecture
• Experienced in constructing and managing an Enterprise Data Warehouse (EDW), with a solid grasp of Data Lake architecture and design
• Skilled in designing and implementing cloud-based training pipelines and state-of-the-art deep learning algorithms
• Well-versed in deep learning frameworks, algorithms, and inference system designs, including those for cloud-based servers and hardware accelerators
• Experience with Public Cloud platforms (AWS, Azure, or GCP), Docker containers, Kubernetes, Infrastructure Automation, and API development
• Demonstrated ability in software product delivery and operations, particularly for large-scale, customer-facing, and mission-critical products
• Exceptional communication and interpersonal skills, with a knack for leading diverse teams and fostering cross-functional collaboration
• Ability to articulate technical roadmaps, challenges, and solutions clearly and effectively
• Proven ability to inspire and positively influence others, leading teams through complex or ambiguous situations
• Demonstrated understanding of total cost of ownership and cost-to-profitability models across multiple interdependent products
• Background in a high-growth agile software development environment, ideally within a B2B SaaS context
• Experience in building and maintaining large-scale systems in production environments

Responsibilities

• Lead the development of advanced automation tooling for data orchestration, evaluation, testing, monitoring, administration, and data operations
• Inspire and lead the Data Enablement team, which includes Machine Learning Engineers, Data Scientists and Data Engineers, by setting clear objectives, promoting innovation, and ensuring alignment with the company’s strategic goals
• Responsible for creating a high-performing team and fostering a culture of technical excellence, continuous improvement, and collaborative problem-solving within the team
• Lead with company values in mind and help create bridges across organizations
• Lead the development of scalable data pipelines using Databricks, and AWS (Redshift, S3, RDS), and other cloud technologies
• Lead the support of Loopio’s data warehouse (Redshift) and data lake (Databricks delta lake)
• Lead the orchestration of pipelines using workflow frameworks/tooling

Benefits

• Your manager supports your development by providing ongoing feedback and regular 1-on-1s
• You have tons of autonomy and responsibility: this role provides an opportunity to try new things and push creative boundaries
• You’ll learn more than you thought was possible; our team is obsessed with personal and professional growth (every Looper receives a professional mastery allowance each year)
• You’ll be set up to work remotely with a MacBook laptop, a monthly phone and internet allowance, and a work-from-home budget to help get your home office all set up!