Staff Data Scientist - Product (Minneapolis, MN)

Department: Product & Growth

Employment Type: Full Time

Location: Minneapolis, MN

Reporting To: Joan Soskin

Description

We’re SmartThings, one of the leading IoT ecosystems in the world, creating the most effortless way for anyone to create a smart home. As a wholly owned subsidiary of Samsung, our corporate offices are based in Minneapolis and the Bay Area.

More than 350 million people worldwide use SmartThings to control and manage their connected life. SmartThings delivers simple, powerful experiences across Samsung’s leading portfolio of phones, TVs, and appliances.  We also offer the most versatile smart home experience as an open platform with a rich partner ecosystem (think IKEA, SONOS, Honeywell, and so many more). As a founding member of Matter, we are a leader in the industry to help make smart homes more secure, reliable and seamless to use.  Come be a part of the leading edge of IoT innovation!

About the Team SmartThings is seeking a Staff Data Scientist, Product to join our Product Operations team. Collaborating closely with leaders across the organization, you will play a pivotal role in establishing and leading new data analytics initiatives at SmartThings. You will be responsible for leveraging data to gain valuable insights, power data-driven decision-making, and enhance the overall performance and user experience of our smart home solutions.  This is a unique opportunity to shape the future of SmartThings through analytics and drive innovation in the IoT domain.

Key Responsibilities

This position is a hybrid role, based onsite 3 days a week at our office in Minneapolis, MN. 

In this role, your primary responsibilities will include the following: 
As Staff Data Scientist, Product, you will be a catalyst in the evolution of data-driven Product Management at SmartThings. As part of that, the work will require both short and long-term thinking and the ability to manage multiple projects simultaneously, flexing skills at many different levels of detail as we deliver everything from specific, time-sensitive custom analyses to executing broad-range, long-term strategic plans.
Relationship-building and collaboration with parties at all levels across SmartThings as well as Samsung’s global organization will be crucial, and success will require tact and leadership by influence. Your work will carry meaningful impact across SmartThings’ product roadmap, delivering customer insights that will shape decisions large and small.
Key responsibilities will include:

Strategy (~25%)

• Shape the Product Operations strategic roadmap by leveraging data and partnering with key stakeholders to define priorities, identify barriers, and influence data practices to support our goals
• Serve as a conduit between Product Ops efforts and global teams
• Build and deliver a plan to drive meaningful progress in our use of data to understand customers by training, influencing, and supporting our Product team

Execution (~75%)

• Establish data best practices; Build documentation and training materials to educate team members and develop colleagues’ capabilities;
• Improve data literacy, data accessibility, and analysis velocity for Product team members by developing libraries and resources;
• Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide analytical thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).
• Support product development & go-to-market by providing the right data at the right time, pairing with Customer Insights to bridge “what” and “why;”
• Share recommendations and business impact to drive data platform improvements as needed

Skills, Knowledge & Expertise

Inclusive Hiring Practices

Don’t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At SmartThings, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

What You Bring On Day One (Required Qualifications) 

• Bachelor’s degree in Computer Science, Engineering, Electrical/Computer Engineering, Statistics, Mathematics, Data Science, or related technical field
• 10+ years of experience in a software engineering or data science/engineering role using key