Data Scientist
At Scanalytics Inc., we’re pioneering the future of flooring, offering unmatched insights into foot traffic and space utilization to optimize operational efficiency and customer engagement. Established in 2013 by a team of forward-thinking PhDs and neuroscientists, our proprietary technology serves as the building’s ‘brain’, learning from every step to enhance both the consumer experience and the organization’s environmental efficiency. Our partnership with the Department of Energy (DOE) reflects our commitment to innovation and sustainability in various sectors, including retail, education, and entertainment, facilitating reduced HVAC costs, predictive analytics, improved safety, and decreased maintenance expenses.
At our core, is our unwavering dedication to transforming the world with technologies that not only maximize energy efficiency but also enhance human comfort. We are intent on developing sustainable and fully recyclable products, embodying our deep-rooted commitment to environmental stewardship through vigilant energy conservation. Our corporate ethos is built on a solid bedrock of trust—a place where every team member is not just encouraged, but expected to take bold risks, openly exchange innovative ideas, and actively partake in our shared triumphs. Our vibrant culture is fueled by proactive, passionate individuals who thrive in a self-motivated and highly collaborative environment, dedicated to forging paths toward a more intelligent, eco-friendly future.
Responsibilities:
Self-motivated and able to work both independently and with a team
Develop and evaluate computational models for people-counting and identifying behaviors on from smart flooring sensors
Implement these models in code, so that they are call-able from a Python framework
Communicate model characteristics and performance to technical and non-technical associates
Create charts to visualize raw data and model performance
Provide analytical feedback on IoT hardware iterations such as sensor performance, stability, and consistency
Requirements:
Bachelor's degree in STEM field
Demonstrated history of data analysis and model development, e.g. for time-series or IoT data
Strong background and understanding of statistics; ability to flag statistically significant events
Strong written and verbal communication skills
Desirable Qualifications:
Post-graduate degree in STEM field or equivalent experience
Outlier and anomaly detection
Experience building models to consume data from a continuous stream of events
Interest in understanding human behavior patterns (e.g., why did this group of people enter to the left instead of the right?)
Passion for a mission-driven, commercially-scalable product and sustainability
Equal Opportunity Employer Statement:
Scanalytics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
How to apply
Please submit a resume and brief cover letter in the body of your email to: careers@scanalyticsinc.com