About the company

Cargado is an early stage technology startup revolutionizing how U.S.-Mexico cross-border logistics is executed. Founded by experienced entrepreneurs Matt Silver (second-time founder/CEO after a successful exit and long-time freight veteran) and Rylan Hawkins (CTO, Ex-Convoy, Ex-Microsoft, and previous founder).

Mexico has recently taken over the #1 spot as the United States’ leading trading partner. Laredo, TX is the number one port in the United States importing and exporting everything we need and use everyday. The need for simplifying the complexities of freight moving across the border, creating a more reliable and connected supply chain has never been greater. Cargado has strong competitive advantages in the connections, experience and understanding of the market to help solve these problems. Combining seasoned industry experience with world-class technology, the company is well-equipped to bring the logistics industry into the future.

We have raised nearly $10M in venture capital so far and are backed by several supply chain-focused venture capital firms, including Primary Venture Partners, Ironspring Ventures, Zenda Capital, Wischoff Ventures, Sahil Bloom, and a few dozen entrepreneurs in logistics and technology.

About the role

As the founding member of our data science, analytics and data engineering team, you will help build the data platform as well as help the company develop a data-driven culture of insight generation, decision making, and strategy at Cargado. You will be a key member of the product and engineering organization and directly interact with many business stakeholders and executives.

What You'll Do

• Help to establish the company’s data pipeline and data tooling

• Set up technical and non-technical members of the company to produce insights that will directly drive key business outcomes.

• Establish source-of-truth datasets and dashboards that the business can use to answer their own questions about growth and engagement

• Define key company metrics that will help the business define strategy both internally and externally.

• Conduct exploratory data analysis and communicate findings to many stakeholders

• Bring the latest data technologies and trends to the team

About you

• 6+ years experience in a quantitative role navigating highly ambiguous environments, ideally as an early data engineer, scientist or product analyst at a fast growing product company

• Highly proficient at SQL

• Strong programming skills in Python or similar languages

• End-to-end experience with data, including pipeline development, modeling, querying, aggregation, analysis, and visualization

• Defined, implemented, and operationalized new feature and product-level metrics from scratch

• Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike