Project Scientist/Engineer - Environmental Data Analyst

About You

You are an Environmental Scientist or Engineer with a passion for Environmental Data analysis and web application development. You possess a strong quantitative and applied statistics and/or modeling background. You are fluent programming in R and Shiny, with an impeccable attention to detail. Collaborating with colleagues with diverse expertise is exciting for you, and you are also comfortable working independently. A lifelong learner, you want to keep growing intellectually and professionally. Quality management, communication, and integrity are among your strongest principles.

About Integral

Integral Consulting Inc. is a science and engineering firm delivering sound technical solutions to meet today's challenges in the health, environmental, and natural resource arenas. We are a values-driven collaborative team that is as passionate about company culture as we are about the work we do for our clients. Since our founding in 2002, we have operated with a demonstrated commitment to the well-being, diversity, and professional development of our staff and an equal commitment to strong partnerships with our clients and teaming partners. We are a company where people come to solve today’s toughest environmental challenges through innovative ideas, exceptional teamwork, and dedication to accuracy and technical quality.

About the Job

We are currently seeking a mid-level Environmental Data Analyst to support our Data Management and Analysis Practice. The position will support multiple clients and projects, with the common theme of providing data analysis and web application development using CI/CD workflows in a diverse portfolio of projects ranging from marine resources and modeling to toxicology and contaminant studies. Primarily, you will work on programming discrete modules within web applications being built in R/Shiny. However, the day-to-day work can vary. One day you may be leading a task to discover, access, and clean historical datasets. Another day you may be performing multivariate statistical analyses to differentiate sources of contamination. Career growth at Integral offers future opportunities to manage tasks and teams, communicate with clients, and present and/or publish your work through science conferences and peer-reviewed journals.

This position may offer in-office, hybrid, or remote opportunities based on the candidate’s location and the needs of the organization.

Responsibilities

As a Project Scientist/Engineer – Environmental Data Analyst, your job functions will include, but not be limited to:

• Programming modules within web applications using R/Shiny, with tasks ranging from data wrangling to modeling and statistics in addition to interactive data visualization and mapping in a {golem} framework
• Implement changes to web applications in R/Shiny as a result of stakeholder feedback
• Provide quality control review on existing applications and debug issues in R/Shiny
• Maintain existing applications in R/Shiny
• Programming data pre-processing steps for web applications, which could include data wrangling, statistical analyses, and/or model runs either in R or Python
• Interaction with a PostgreSQL database to supply data to web applications
• Be an exemplary communicator and listener to key stakeholders

Qualifications

Candidates should hold a B.S. or M.S. degree in environmental science or engineering, applied mathematics, statistics, or related technical field. Candidates with a B.S. or M.S. degree from another quantitative field and a demonstrated interest in environmental applications will be considered.

The ideal candidate will have:

• 3+ years of demonstrated experience using R statistical programming language Similar experience in Python is a plus, but R is required.
• 1+ years of demonstrated experience developing, deploying, and maintaining web applications using R Shiny
• Experience working within multidisciplinary teams of scientists and engineers
• 3+ years of experience working in a data analysis role or an educational equivalent (i.e. a graduate degree requiring the use of R/Shiny)
• Deep understanding and experience with the complete Environmental Data life cycle from field sampling to written synthesis
• Strong background in applied statistics
• Proficiency with code versioning tools, such as Git
• Excellent written and oral communication skills
• A desire to grow both intellectually and professionally
• Possess strong organizational abilities
• Ability to work independently and within a multidisciplinary team of scientists and engineers
• Strong communication skills and integrity

Annual Salary Range: $65,000-$90,000

An employee’s total compensation package includes annual salary, company-subsidized (employee and family) medical, dental, and vision insurance, 401(k) participation with a company-match of 1% to 4% of annual compensation, company-paid life and short- and long-term disability, paid sick leave (80 hours per year), paid vacation (10 or/to 15 days; determined by title at hire), paid holidays (9 days per year), and the potential for an annual discretionary bonus based on company performance. Paid time off will be pro-rated to reflect part-time scheduled hours, if applicable.

We are proud to be an equal employment opportunity employer and are committed to a proactive program of affirmative action and diversity development. Integral Consulting Inc. provides equal opportunity in all of our employment practices to all qualified employees and applicants without regard to race; color; religion; gender (including pregnancy, childbirth, or related medical conditions); national origin; age; sexual orientation; disability; marital status; military, veteran, or Vietnam Era Veterans’ Readjustment Assistance Act protected veteran status; gender identity or gender expression; or any other category protected by federal, state, and local laws.

The application window for this position will remain open until the position is filled.

All offers of employment are contingent on candidates successfully passing an employment history screening, degree verification, and a federal, state, and county criminal background and Watch List screening. Candidates will receive a written notice of this requirement. All screenings will be done in accordance with all local, state, and federal laws.

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