Data Science Manager II

Paylocity is an equal opportunity employer.
Paylocity is a cloud-based software company that creates customized HR solutions for small to mid-sized organizations. Our workplace enhances communication and enables employees to connect, collaborate, and create from anywhere. Our award-winning culture ensures everyone has a voice and feels truly welcome. Join Paylocity as we shape the future of technology and the workplace!
We give our employees what they need to succeed, including great benefits and perks! We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that support you, your family, and your finances. And if it's career development you desire, we provide that, too! At Paylocity, people matter most and have always been at the heart of our business.
Help Paylocity enhance communication and enable employees to connect, collaborate, and create from anywhere with a position in Product & Technology!
Want to develop the strategies and principles needed to deliver compelling software? Join our team and help us enhance our all-in-one software platform, elevate our one-of-a-kind technology, and improve the employee experience.
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Data Science Manager II
The Paylocity Data Science team is focused on building machine learning enabled features as part of Paylocity's HCM software solutions that deliver key insights and automation for our customers.
Our team is:

• Applying cutting edge NLP models to help employers gauge the sentiment in their organization, increase cross-team collaboration, and understand the employee voice
• Building and deploying platform-wide recommendations to help companies follow HR best practices and allow employees to get the most out of our platform ( https://www.paylocity.com/our-products/data-insights/modern-workforce-index/ )
• Baking AI Ethics into all of our processes as a first-class citizen ( https://medium.com/paylocityprodtech/embedding-ethics-in-ai-cdb381c039ad )
• Working in a collaborative remote environment with a desire to share ideas and continuously improve
• Invested in staying current in data science by applying the newest tools, technologies, and practices
• Excited to work on cutting-edge technology!

Position Overview:
The Data Science Manager II is a critical role in our Product and Technology organization. This role requires strong technical expertise as well as solid people and project management experience. This leader will help the team deliver customer-facing features to achieve business outcomes and coach team members to fulfill career goals. This position requires commitment to exceptional results, a strong desire for continuous improvement, and the ability to build a collaborative culture within the team.
A Data Science Manager II will be expected to:

• Independently lead a data science team in the development and enhancement of our machine learning solutions that impact millions of employees every day
• Help build end-to-end ML solutions, from infrastructure and data pipelines to model deployment and monitoring. Our data science teams own the entire solution from start to finish
• Work closely with product managers and UX designers to brainstorm new machine learning use cases and take them from ideation to implementation
• Coach and mentor team members toward exceeding expectations and progressing in their career
• Drive the team forward towards execution on projects/goals that are often beyond the scope of just the immediate team and have broad customer impact

Location: 100% Remote
Reports To: Data Science Associate Director
Requirements:

• Bachelor's degree in a quantitative field is required
• 5+ years of hands-on data science success at other software companies
• 2+ years of experience directly managing data scientists
• Experience in writing production grade machine learning models in Python
• Hands-on experience with cloud infrastructure on AWS (Glue, EMR, Lambda, etc.) or Azure (Data Factory, DevOps, etc.)
• Familiar with cloud-based source code management, continuous integration, continuous delivery, and other software development best practice (GitHub Actions, TeamCity, Octopus, Jenkins, etc.)
• Demonstrated ability to lead high-performing teams, inspire others, and drive business results
• Skilled at translating business problems into data science problems and communicating the results to non-technical audiences
• Self-motivated, adaptable, and highly detail oriented
• Must have a strong sense of curiosity and a willingness to learn
• Exceptional verbal and written communication skills

Preferred Skills:

• Advanced degree (Masters or PhD) preferred in computer science, industrial engineering, statistics, industrial organizational psychology, other quantitative field
• Professional or academic experience in HR, social science or psychology
• Enthusiastic about advanced analytics and how predictive insights lead to a superior customer experience
• Be invested in staying current in data science by applying new technologies and practices

Paylocity is an equal opportunity employer.
Paylocity is committed to the full inclusion of all individuals. We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. To request reasonable accommodation in the job application or interview process, please contact [email protected]
This role can be performed from any office in the US. The pay range for this position is $153,250 - $194,259/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. This position is eligible for an annual bonus and restricted stock unit grant based on individual performance in addition to a full range of benefits outlined here. This information is provided per the relevant state and local pay transparency laws for the location in which this position will be performed. Base pay information is based on market location. Applicants should apply via www.paylocity.com/careers.