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Staff Data Scientist

Standard Cognition

Data Science

Remote

Posted on Friday, September 13, 2024

Context for the role:

Join Standard AI as a Staff Data Scientist, where you'll have the opportunity to be at the forefront of retail innovation. Our Vision Analytics platform leverages AI and computer vision to provide meaningful insights into shopper behavior, product performance, and store operations. This role empowers you to shape the future of retail by developing solutions that optimize store experiences and enhance customer interactions. You will collaborate with a diverse team to redefine retail strategies and contribute to the growth of our technology in the industry. Your work will directly impact how retailers and brands understand and serve their customers better.

This is a full-time role and can be based remotely anywhere within The United States. Standard AI is a remote-first company, offering the flexibility to create work habits, locations, and schedules that best fit your lifestyle and commitments.

What You'll Do Here:

Conduct meaningful analyses to provide actionable insights that support product optimization and strategic decision-making.
Collaborate with engineering and product teams to integrate analytics solutions focused on key retail metrics such as traffic, availability, and conversion rates.
Design and implement data-driven methodologies for A/B testing and merchandising strategies, ensuring positive impacts on customer experiences.
Develop AI models that leverage machine learning to improve consumer behavior analysis, enhancing retail strategies.
Lead innovative research projects and publish findings to advance our Vision Analytics platform.

What You've Done Before:

Advanced degree in Statistics, Economics, Machine Learning, or Operations Research.
5+ years of experience in data science, with a focus on retail or e-commerce analytics.
Expertise in developing and applying AI and computer vision techniques.
Strong programming skills in Python or R and experience with cloud-based data platforms.
Proven a track record of publishing research and driving innovation in data science.
Experience collaborating with cross-functional teams to deliver data-driven insights.

Who we are:

Standard AI is at the forefront of applying artificial intelligence and computer vision to solve the hardest challenges in physical retail spaces. The Standard AI best-in-class technology stack enables brick-and-mortar retailers and the brands that stock their shelves to unlock people, product, and interaction insights that drive bottom-line impact. Founded in 2017, Standard AI is led by a seasoned team of former Mars, Lyft, Oracle, NASA, and Adobe executives, and is backed by marquee venture capitalists including Y Combinator, SoftBank, CRV, and EQT Ventures.

Why you might want to work with us:

Choice of insurance plans, including option for 100% employer-paid medical, dental and vision premiums, as well as generous contributions towards dependent premiums.
An inclusive culture. Employee Resource Groups, DEI focused training and resources, and opportunities for community service and engagement.
Fertility and family planning assistance provided through Maven Clinic, as well as flexible scheduling to accommodate for childcare needs and generous parental leave policies.
Flexible time off, 12 company holidays, and 2 floating holidays annually.

Applicants must be legally authorized to work in the United States for this opening. We are unable to sponsor or take over sponsorship of an employment Visa for this position at this time

We offer very competitive compensation. In addition to the Base Salary, we also offer Stock Options and Best-in-Class Benefits. The total compensation package will depend on multiple factors such as location, level, related experience and interview performance.

Target Starting Salary - Remote, USA

$200,000—$235,000 USD

Standard AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

Apply now

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