Title: Data Scientist / Engineer

Location:  Multiple physical offices, remote possible

What we do

Axiom Data Science (a Tetra Tech company) is a fast-moving and dynamic ~20-person technology and informatics firm with a mission to build a better understanding of society and the environment by increasing the accessibility, reuse, and impact of scientific data. To that end, we provide cyberinfrastructure support, data management systems, and scalable technical solutions for organizing and analyzing large amounts of diverse datasets to organizations across the globe. We’ve assembled an outstanding team of software and data engineers, data analysts, project managers, and data coordinators to tackle difficult problems and provide excellent support to our partners at businesses, non-profits, federal and state agencies, and universities.

We offer a flexible, collaborative working environment, and we have a company culture that promotes taking initiative, solving problems, and maintaining a healthy work-life balance. We want to do great work, while being a great place to work. We are headquartered in Anchorage, AK and have satellite offices in Portland, OR; and North Kingstown, RI. Work location for this position is flexible and may be remote, though we would prefer someone in close proximity to one of our offices. Approximately ⅓ of Axiom currently works remotely.

Our work matters: if you want to make a difference in oceanography, climate science, or scientific data management, this is the place to do it. We work hard on interesting problems and push the boundaries of science and computing.

How we work

We are a software-services company forming mutually beneficial partnerships with partners. We believe in focusing time and energy on our core products, and encouraging staff to take ownership of their work.

We are a geographically distributed company and collaborate with each other online. Strong communication skills are critical. We work together closely while minimizing distractions.

We have low administrative overhead. Staff are given all the tools they need to excel and are self-driven, resourceful, and instrumental in expanding our vision.

What you’ll do

Though the Axiom team works with scientific data, research is not our primary focus. Instead, we build visualization and analysis capabilities that make new insights possible, and work with our partners and stakeholders to build operational products on top of their data sets. Along the way, we adhere to open science standards by improving metadata and semantically linking datasets - transforming scientists’ research results into meaningful products that reach far beyond the initial intent.

As a data engineer, you’ll be part of this process. You will contribute to and advance our suite of scientific data management tools, techniques, and services. This requires looking beyond a single project, discipline or research interest. And it also demands teamwork and an ever broadening suite of individual skills.  On a daily basis, you might:

• Develop routines for extracting, transforming, manipulating, formatting, compiling, and curating large and complex geophysical and scientific data primarily from the coastal and ocean domains;
• Develop and contribute to the existing data services that Axiom has built to handle large-scale scientific datasets;
• Work with data librarians to translate scientific data, metadata, and analytic results into end-user products and APIs;
• Prototype analysis code in Jupyter and migrate the code into our team’s operational data processing pipeline.

What we look for

As a company taking on complex information and data science challenges, Axiom depends on all employees being multi-talented, imaginative, and resourceful. Staff are provided with the tools they need to perform at their highest level and rewarded with an employee-focused work environment. Data science exists at the intersection of three domains: computer science, mathematics and statistics, and scientific expertise. We are seeking a candidate who can contribute to each of these domains through prior experience handling and analyzing marine, atmospheric or geospatial data. Experience with community standard open-source tools and scientific data formats is important, but inspiration, vision, motivation, determination, and commitment are the qualities Axiom values most.

We are looking for a demonstrated history of working with real-world data, and that you have some of the following skills and experiences:

• 4+ years of relevant experience with a spectrum of environmental scientific data formats;
• Degree in computer science, statistics, mathematics, or similar quantitative discipline; or a degree in the physical and/or environmental sciences (oceanography, meteorology, etc.) with quantitative and programming experience;
• Experience programming with the core Python data science stack;
• Experience with machine learning concepts, techniques, and frameworks;
• Experience with the core concepts of software engineering (e.g. source control, continuous integration tools, unit testing and coding best practices);
• Experience building and/or working with services and APIs on top of large scientific and/or geospatial datasets;
• Experience with core geospatial concepts such as raster, vectors, projections and spatial operations as well as familiarity with open-standards based GIS tooling and storage formats (e.g., GeoTIFF, GeoDatabase, PostgreSQL/PostGIS, GeoJSON);
• Willingness to dive in and embrace other aspects of our data processing stack: Linux, Docker, Jupyter, Spark, GeoServer, Dask, Ray, TimescaleDB, Parquet/Arrow
• Self-motivation, independence, flexibility, and a problem-solving attitude

What you’ll get

Competitive salary between $70k and $120k commensurate with experience. We understand the importance of providing you with the resources and opportunities you need to be a successful member of our organization. One of the most important and valuable resources is your employee benefits package. We are pleased to offer a comprehensive package of benefit plans designed to offer you both choice and flexibility to secure the coverage that best meets your needs.

How to apply

If you are interested in this position, please apply through

https://tetratech.referrals.selectminds.com/jobs/search/4763683/. Your resume and/or cover letter should describe how your experiences fit with the desired qualifications of the position and what drove you to apply for the position. Please include links to projects you have worked on and explanation of your role; web links to relevant personal websites and/or projects; and examples of any open source participation (e.g., GitHub, StackOverflow), as available.