At Standard Cognition, we’re rethinking the way retail works. We are enabling autonomous checkout for brick & mortar retailers with our AI-powered computer vision platform. Since launching in November 2017, Standard has contracts with multiple global retailers and is in the process of deploying our Standard Checkout solution across thousands of stores globally. We announced our Series A in November 2018 and we’re backed by some of Silicon Valley’s leading investors including CRV, Initialized, Draper Associates and YCombinator. Standard has raised its Series B and is valued at $535 million.

As a data scientist, you will lead the charge on building our analytical infrastructure and driving insights that lead to step-function improvements in how we operate. You will apply statistical models, design and interpret experiments, build mission-critical dashboards in the pursuit of transparency over how we can improve the accuracy of our AI models. The role requires working closely with our Product, Engineering and ML teams to craft narratives, find insights, and guide them towards better decision making. In a typical week or month, you will be responsible for data analysis and visualization, dashboard/report building, and metrics reviews.

This is a full time role is located onsite at our San Francisco office. 

What you'll do here:

• Design experiments and determine appropriate statistical approaches to answer questions about the accuracy and efficiency of our AI models as well as data collection and annotation processes.
• Provide the company with ad-hoc analysis and visualization, automated dashboards, and self-service reporting tools that will guide day-to-day operations, planning, and strategic decision-making.
• Set up, maintain, and scale our data analytics infrastructure; ETL code-base and processes used to drive self-service tools.
• Partner across stakeholders to define measurement approach, quantify and evaluate success, and develop KPIs and guide tracking efforts for ongoing measurement and reporting.
• Iterate on your work and analyses to generate ever-better questions to answer.

Who you are:

• 3+ years of industry experience in data science broadly
• Expert knowledge of a scientific computing language (R, Python) with an emphasis on statistical packages like NumPy, Pandas, Scikit-learn , Matplotlib etc.
• Strong knowledge of statistics (clustering, regression, etc.) and experiment design
• Experience querying large structure/unstructured datasets in SQL/Hive, Redshift, Spark etc.
• Experience with writing and maintaining ETL jobs for ingesting data across systems into a data warehouse
• Comfort with BI and visualization tools (e.g. Tableau, Looker etc.)
• BA/BS in a field that emphasizes data analysis and visualization (e.g., computer science, social sciences, physical sciences, math, engineering, or statistics), or equivalent work experience
• Only meet some of these traits or experiences? We'd still love to hear from you! 

Why you might want to work with us:

• We take care of you and your family with health, vision, and dental insurance.
• We're serious about food. Free catered lunch every day, and a fully stocked kitchen with occasional snack appearances from our Japanese office. Healthy and not-so-healthy options are available, as are foods for those with dietary restrictions.
• You're excited to work on a product that will impact almost any consumer, almost anywhere.
• We dress casually. If you want, you can wear slippers in the office. You should see the creative collection our team has built.
• We believe in a culture of learning, and want to keep building our skills, experiences, and capabilities.
• We offer flexible work schedules. We trust our team to know how they will do their best work.
• We're family friendly. We want our teammates to focus on what they need to when they need to.
• We offer very competitive compensation, including equity in Standard, to each one of our employees.

Standard 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.

Do you have further questions about this role? Reach out to our talent team at [email protected].