Martin & McCoy - Data Scientist + Modeling

paid / Tucson, AZ (remote) / full-time

The position will provide key support and insight across the company, from modeling, data visualization and analytics to integration between frontend and backend architecture, as well as developing key innovative modeling infrastructure. We view this position as the glue between core areas of product development: data visualization, modeling, analytics, and deployment architecture. The position provides the opportunity to have hands-on involvement with everything the start-up deals with and has the potential for substantial growth.

We are looking for creative, big thinkers ready to join our start-up team -- people who are interested in employing modern technological, data and programming tools to help solve critical problems at the intersection of water and climate change. Our clients and customers will expect us to think outside the box and provide solutions that will help to break down the barriers to achieving actual change, and that’s what we will expect from you. We are looking for people who are eager to learn, motivated to solve problems and find solutions for a better future, and who want to be part of a collaborative team tasked with building moonshot data platforms, modeling solutions, and new visualization tools to guide decision making. Our team members will be willing to flip, turn, spin, and even go through wormholes to get things done. We won’t give up and we won’t set boundaries. Their reward? Besides a healthy compensation package: being part of a dynamite, tight-knit team that is focused on making an impact and getting in on the ground floor of a new business.

Required Skills and Experience:

  • Deep experience using coding/scripting languages (R, Python, Bash shell, etc.)
  • Significant experience with different modeling methodologies, from classic object-oriented simulations and statistical inference to modern machine learning approaches
  • Experience maintaining, updating, and improving models in a deployment setting
  • Experience with collaborative software development (GitHub)
  • Experience with Amazon Web Services (AWS) and associated cloud deployment technologies (Docker, ECS, RDS) and/or Microsoft Azure equivalents
  • Experience generating data products that inform and engage broad audiences
  • Comfort communicating at both technical and executive levels of detail, especially in explaining complex topics to those new to the subject area
  • Excellent interpersonal and communication skills, both written and verbal
  • Demonstrated productivity when working independently and as a team member
  • Ability to work in a highly collaborative and inclusive environment

Preferred Skills and Experience:

  • Experience with water/hydrology and/or economics domains
  • Advanced degree (MS, PhD) in quantitative field
  • 4+ years experience doing quantitative analysis, modeling in a professional setting

This position will ideally be based in Tucson, Arizona, but we are open to remote locations.

Position will begin on December 1, 2021.

COVID-19 considerations:
COVID-19 vaccine required (with the exception of a medical or religious exemption). Work will be semi-remote with integrated in-person work sessions as CDC guidance allows with integrated testing protocols as needed.

A competitive salary + equity based on experience
401(k) retirement plan
Pre-tax health care
Flexible medical, dental, and vision benefits
Life insurance & disability insurance
Parental leave
Unlimited paid time off
Apple computer and phone set-up and ergonomic home office stipend
Much more

About Us:
We are forming the initial core team of a mission-driven modeling, analysis, and data visualization start-up. We will be focused on building 21st-century technology solutions to address the most challenging water and climate problems, developing data-focused products at local and regional scales, ranging from public-facing dashboards with high traffic to smaller bespoke customer-specific analyses and tools. Our products will support decision-making, understanding water-related climate risks, detailing economic impacts associated with climate risk, and visualization of potential solutions.

We welcome applicants from diverse backgrounds with a variety of skills, experiences, and ideas that are enthusiastic about learning and contributing to a new and rapidly growing enterprise. We are an equal opportunity employer. Employment selection and related decisions are made without regard to gender, race, age, disability, religion, national origin, or any other protected class.

Apply to this position
Applicants should send a cover letter and resume combined as a single document in PDF format to: please indicate “Data Scientist + Modeling” in the subject line. Position will remain open until filled; preference will be given to candidates who apply by October 31, 2021.

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