Position Overview

The position is provisionally titled “Data Scientist”, but we recognize that different career paths recognize particular titles and are amenable to renaming the position as needed.

In many ways, this position is akin to an academic post-doc, but with the opportunity to develop and expand the role to suit the employee’s desires and DAPPER’s needs.

The ideal candidate is presently:

• interested in applied computational, statistical, and/or theoretical ecology (or related fields)
• looking for science careers outside of academia
• happy to take on existing projects that have defined scopes

As a Data Scientist, you will able to:

• collaborate directly with clients to identify anlytical needs and methods
• develop or extend existing mathematical models for ecological data
• write code to prepare, manipulate, analyze, and visualize data
• support data-driven decision making in conservation management
• communicate findings clearly to a variety of stakeholders (scientists, managers, lawyers, lay public, etc.) to educate and inform them

Over the term of the position, through training and support from DAPPER Stats, the Data Scientist would be able to (if desired):

• develop and foster their own collaborations and client relationships
• take a leadership role in DAPPER and help guide the company’s development
• oversee administrative tasks on projects

The specifics of the position, including which projects the Data Scientist will be involved with, are open to discussion with the candidate. We recognize that no one individual will possess all possible traits or interests, please consider these lists as covering possibilities, rather than defining necessities.

Desired Skills and Education

We are looking for employees with the following range of skills and trainings:

• scientific process: able to oversee a scientific project from conception to publication
• coding: proficiency with the software and languages of their choice (DAPPER is language agnostic)
• analyses: capability to analyze complex data sets (non-normal, 0-heavy, missing data, autocorrelation, etc.) as part of a research project
• writing: able to write scientific documents for a variety of audiences (technical reports, manuscripts, etc.)

The ideal candidate will be well-versed scientifically, with experience on multiple research projects. This likely means that they will have a Ph.D. or comparable degree, but that is not a strict requirement. A master’s degree with significant experience is sufficient.

Logistics

The ideal start date is January 2020, but work is available now so the start date can be earlier, or the start can be pushed back if needed.

Salary: $60,000 / year

Medical: health care and dental via the Oregon Health Insurance Marketplace

Additional Benefits: standard federally required benefits (COBRA, Disability, FMLA, Unemployment, Worker’s Comp), flexible schedule and location, business and professional development training

This position will ideally be for 2 years, with the possibility of developing into a longer-term role. We are a startup company and unfortunately cannot guarantee funding that far in advance. What we can guarantee, however, is a fully-funded (with benefits) position for 6 months, access to projects to lead that could generate additional support, a high likelihood for funding beyond 6 months. Recognizing the stress and uncertainty of working for a startup, DAPPER will prioritize your compensation.

DAPPER is presently located in Portland, Oregon, USA. Given the nature of our work, telecommuting or working remotely are suitable for this position. If you are not in Portland and are interested in relocating, we can help cover moving costs.

No travel is required for this position.