Staff Machine Learning Data Manager

About SimpliSafe

We’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. We want you to grow and thrive here.

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Why are we hiring?

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. 

About the Role

SimpliSafe is seeking a seasoned data expert with experience in data analytics and data stewardship to join the Machine Learning team. As SimpliSafe devices grow smarter, our data needs to not only reflect our growth but look ahead at new products and features. The ML Data Manager will collaborate with the Data Engineering team and Data Analysts across the company to:

• Implement Data Discovery practices with the goal of creating a data self-service environment
• Deep-dive into the backing data of critical tables and data sources to develop practices for tracking data and flagging potential data issues as well as working with the Data Engineering team to correct data issues. 
• Collaborate with Product and Engineering teams to develop KPIs for tracking ML performance across SimpliSafe Products
• Develop new data pipelines and metrics to inform decision making at both Engineering and Product Levels
• Define data ‘Best Practices’ for SimpliSafe and facilitate adoption of these best practices through education and collaboration
• Lead analysis of A/B testing for Machine Learning models deployed on both Edge devices and Cloud Services.  

Requirements

• 5+ years SQL 
• 5+ years Tableau (or similar dashboarding tool)
• 3+ years Python (enough to use a Notebook with Pandas)
• 5+ years working across multiple teams to derive analytics from multiple sources
• 2+ years Data Galaxy (or similar data discovery platform)
• A love of data
• A passion for ensuring data quality

Nice to Have

• Experience with Data Annotation
• Experience with Dagster (or similar Data Pipeline platforms)
• A basic understanding of Deep Learning models 
• Familiarity with other AWS services like s3

What Values You’ll Share

• Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
• Aim High - Always challenging ourselves and others to raise the bar.
• No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
• One Team - Taking a highly collaborative approach to achieving success.
• Lift As We Climb - Investing in developing others and helping others around us succeed.
• Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.

We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com.