About the job

This position will play a pivotal role in Legion’s mission – turning hourly jobs into good jobs – and is passionate about bringing advanced data science to solve data-to-day problems that impact the largest segment of the workforce in the world. This role is a full-time position with the option to work fully remotely or in our Redwood City, California office. 

RESPONSIBILITIES

1. Product and technology leader for Legion’s AI/ML technologies. Develop AI/ML roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
2. Directly own all efforts in ML-based demand forecasting as well as other ML projects
3. Develop innovative applied data science solutions that utilize machine learning and deep learning algorithms to support business initiatives.
4. Build and lead a world-class team of ML and AI scientists and engineers.
5. Be a hands-on leader to mentor the team in the latest machine learning and deep learning approaches, and to introduce new technologies and processes.
6. Work with ML engineers to design solution architecture and develop a scalable machine learning system to accelerate the learning cycle.
7. Work with enterprise customers to ensure proper understanding and adoption of Legion’s data-driven technologies
8. Evangelize Legion’s innovative approach to solving some very large challenges.

SKILLS AND EXPERIENCES

1. Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations Research, or other equivalent quantitative fields
2. 8 + years of work experience in Machine Learning, AI, and Data Science with a proven track record to drive innovation and business impacts
3. 3+ years of managing a team of applied scientists and ML engineers
4. Experience building and deploying ML platform with explainability and model governance.
5. Strong machine learning, deep learning, and experience in deploying machine learning algorithms and advanced modeling solutions
6. Proficiency in machine learning and deep learning languages and platforms
7. Experience in developing featurization and ML infrastructure and system
8. Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
9. Strong communication skills and the ability to explain complex analysis and algorithms to a non-technical audience • Works effectively with cross-functional teams to build a trusted partnership
10. Experience with enterprise SaaS solutions strongly preferred

PERSONAL ATTRIBUTES AND VALUES

• A self-starter and strong team player who loves collaboration and is open to feedback, comfortable working independently with a focus on high-priority issues, and influencing cross-functional teams
• A “get stuff done person” that can juggle programs and initiatives
• Analytical and curious; like to understand exactly how the product works and how to best communicate its value
• Personal passion and enthusiasm for industry-leading, next-generation technology 
• Resourceful and creative. Figures out how to make the most of any asset
• A problem solver looking to help us continually improve and grow
• Our mission of turning hourly jobs into good jobs resonates and is intriguing

BACKGROUND AND OPPORTUNITY

The hourly workforce currently constitutes almost 60% of the overall labor market in the United States and these nearly 80 million hourly workers are the driving force behind many of our largest domestic industries like food/beverage, retail, and hospitality. Management of this workforce has historically been difficult due to high churn (average of 60%), high cost of replacement (average of $3,200 per employee in retail), and now new challenges are developing as millennials enter this market. The retail vertical alone spends $62 billion dollars a year on replacing workers and over 50% of hourly workers leave their jobs because of flexibility reasons. 

In our modern, Uber-ized times, younger folks seek gig-like flexibility, modern mobile-first technology, and compelling work options. They want to use an app on their phone to schedule work, not haggle with the manager over their schedule on a week-to-week basis. Likewise, employers are increasingly in need of a flexible and efficient labor model that supports the innovations (think pop-up stores, home delivery, mobile ordering, service options, etc) needed, and frankly demanded, by today’s modern customers. Mid-market organizations have never had a technology platform to manage their hourly workers and the enterprise is mired in decades-old technology that’s both user-unfriendly and wildly ineffective for managing today’s modern hourly workforce. There is a huge opportunity to modernize and upgrade how hourly workers interact with their employers and while enabling employers to be elastic, efficient, and innovative, and that is the focus of Legion.