Senior Data Scientist

The opportunity for you:

As the first Senior Data Scientist, you will have the unique opportunity to shape the data instrumentation at Nuvocargo. You will own the tools, infrastructure, and processes, that empowers our product engineers, product manager and data analysts to rapidly convert activity on the internal platform to actionable insights. You will define the data measurement strategy, working with cross-functional leaders towards unified server and client instrumentation plan.

You'll work with the Head of Product as well as key internal and external stakeholders to figure out what matters the most to our users, define and measure the critical metrics, drive execution, and learn continuously from our users. You'll collaborate with our world class EPD team led by veterans who have held senior product and engineering positions early on at companies like Dropbox ($10B+) and Common (raised $100m+)to shape the direction of our shipper offering and internal tools, in an industry where the average customer NPS is negative or very low, and where most internal processes do not rely on modern software tools to unlock revenue growth and a superior customer experience.

Who are you?

• You are the pioneer of data at Nuvocargo. As the first Data Scientist hire, you should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, end-to-end funnel analysis, and business operations.
• You have at least 5 years experience working as a Data Scientist. You have direct experience on supervising analytics measurement and implementation efforts with hands-on event tagging and code validation. You previously led and implemented data collection & data processing efforts from start to finish.
• You have strong technical background. SQL fluency required – tech industry experience analyzing nuanced datasets and writing your own complex queries.
  • Professional familiarity with applied statistics and scripting languages like Python or R
  • Experience ELT data modeling, especially with dbt (data build tool) is a plus;
  • building analytical narratives using data visualizations (Looker is a plus).
  • You have deep understanding of acquisition, retention, and engagement KPIs and complex funnels.
• You move with speed. You move incredibly fast, making decisions and overcoming obstacles with speed. You can ruthlessly prioritize and make speedy decisions that take into account qualitative and quantitative data, user needs, business goals, and company resources.
• You create structure out of ambiguity. Logistics is a complex industry with multiple stakeholders involved in every transaction. You will thrive here if you can extract structured insights and determine product priorities by merely observing and conversing with our stakeholders.
• You are both a great communicator and listener. You are great at synthesizing inputs from different sources; you speak and write clearly, concisely, and with a structure that gets everyone on the same page when things feel messy.

This will NOT be a good fit for you if:

• You love to ideate, but you don't love to do. We expect you to make things happen by combining a strategic mindset with a bias towards action.
• You have a fixed mindset. We have an entrepreneurial culture and look for a self-starter who can readily acknowledge mistakes, own them, fix them, and learn from them in short cycles.
• You want to work with only "tech" folks. Modernizing an industry like logistics requires patience and empathy; you need to be excited about surprising and delighting stakeholders that come from a world outside of Silicon Valley.

What you'll do in a typical week:

• Partner with Product Engineering and Product Managers, understand goals, craft critical metrics, and measure ongoing performance.
• Engage with the product and engineering teams in ensuring that we have the appropriate instrumentation & measurement in place to deliver on metrics.
• Drive analysis on various projects to identify the business opportunity, improve carrier and shipper experience.
• Own data analysis and visualization, and communicate the outcomes/insights to various stakeholders to aid strategic decisions for improvements in international logistic process.
• Identify operational weaknesses and help improve or innovate new processes to keep internal process as efficient as possible.
• Coordinate with other members of the Operations teams to measure the impact and efficiency of new products and business processes.
• Partner closely with specific business verticals to provide insights that drive decisions around process, policy and service model.
• Build, maintain, and communicate detailed executive reporting & models.