Hop on the Rocketship 

Thrasio is a next-generation consumer goods company reimagining how the world’s most-loved products become accessible to everyone. We use a deep understanding of rankings, ratings, and reviews to identify and acquire quality brands and use world-class expertise and data science to make their products better or create new ones to meet changing customer demand.

We’ve got huge goals, and every Thrasher plays an integral part in getting us to the stratosphere. That’s why we only bring on people who think positively. Who look out for the team. Who tell their egos to take a hike while they get the job done right.

From the moment you hop on our rocketship, we give you the freedom you need to take big swings and push what’s possible to get us there. And if you fail, it’s cool—we know you’ll grow spectacularly. What matters is that you’re helping impact millions of people around the world who use our products everyday.

Because with every new spatula, pillow, or marker brand we acquire, with every coffee roaster or body wash we develop, our goal is to provide people everywhere with what they need to make the most of every moment - ensuring that what gets delivered to their door delivers. 

THE ROLE

In this role, you will be the center of data-driven decision making and applied research for the company as we use the latest ML/DL and data science techniques to continuously optimize every aspect of the business, including inventory management, forecasting, acquisition target recommendation, keyword optimization, and a whole new category of decision management for day to day operations.

SOME OF THE DAY-TO-DAY MAY INCLUDE

• Owning the full Data Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business impact
• Identifying foundational research areas that align business organizations across Thrasio and collaborating with leadership on Data Science strategy 
• Defining team best practices and integrating them into our codebase and day-to-day workflows
• Developing quantitative models, leveraging machine learning and advanced data analysis techniques
• Building data-driven decision making with our Thrasio business stakeholders and to enhance the experience of our external stakeholders
• Designing large-scale applied AI systems for sourcing and acquiring new e-commerce targets 
• Creating product pricing elasticity models and optimizing sales and demand forecastsUnderstanding and optimizing Amazon black-box algorithm performance across our suite of products
• Designing experiments for marketing and creative to drive our advertising budget and targeting strategy
• Provide technical leadership by driving strategic initiatives for your team with engineering leadership and mentoring junior Data Scientists Deliver presentations to high-level business leaders that tell cohesive, logical stories using data and build a data-centric culture at Thrasio
• Identifying and owning the execution of new research and engineering opportunities that could be game-changing for Thrasio

WHAT YOU'LL BRING TO THE PARTY

• 8+ years of experience in data science type roles
• Highly proficient in Python and SQL
• Strong expertise in quantitative research and applied statistical methods, such as causal inference, forecasting, Bayesian methods, or advanced experiment design
• History of driving decision-making across business leadership with strong communication skills, ability to synthesize information and desire to influenceUnderstanding of Machine Learning techniques and how to apply themIntuitive sense of how quantitative and technical work aligns closely with business priorities and business value
• Thrives in a transparent, agile and collaborative environmentBe really excited with the idea of building something new, for a business tackling e-commerce in an entirely different way
• Bachelor's Degree in Engineering or Computer Science or technical equivalent

NICE TO HAVE, BUT NOT REQUIRED

• Experience as a Data Science or Engineering tech lead
• Masters Degree or PhD in a quantitative field such as Mathematics, Economics, Computer Science, Engineering, Physics, Neuroscience, or Operations Research
• Machine Learning expertise with supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, or time series
• Experience working for a company specializing in e-commerce or finance & acquisitions
• Familiarity with Amazon AWS, Databricks, Snowflake, Plotly, and Kubernetes

THRASIO IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER AND CONSIDERS ALL QUALIFIED APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION, SEX, GENDER, SEXUAL ORIENTATION, GENDER IDENTITY, ANCESTRY, AGE, OR NATIONAL ORIGIN. FURTHER, QUALIFIED APPLICANTS WILL NOT BE DISCRIMINATED AGAINST ON THE BASIS OF DISABILITY, PROTECTED CLASSES, OR PROTECTED VETERAN STATUS. THRASIO PARTICIPATES IN E-VERIFY.

Thrasio does not accept agency resumes. Please do not forward resumes to our jobs alias, Thrasio employees or any other organization location. Thrasio is not responsible for any fees related to unsolicited resumes.