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Programmatic Risk Data Scientist 1

Company: Pacific Northwest National Laboratory
Location: Olympia
Posted on: June 7, 2024

Job Description:

Overview

PNNL's Earth System Science Division enables energy independence and national security through leadership in earth systems science, engineering, and decision analytics. Our work focuses on solving complex problems in the dynamic Earth system. Our interdisciplinary scientists steward a breadth of efforts that encompass research on plants to groundwater science and coastal zones, to storm prediction.

Our research focuses on understanding and mitigating operational risks at the interface of human and natural environments. This includes predicting the impacts of natural hazards and extreme climate events on Earth and human systems, along with the impacts of wildfire, flooding, sea level rise and storm surges. We focus on understanding and mitigating environmental contamination and increasing the resiliency, security and sustainability of water resources. We provide geointelligence through advanced sensing and data analytics to forecast complex system behaviors and operational performance to understand human-natural systems. This includes informed decision making and enhanced community resilience, advanced monitoring, and remote sensing of environmental systems for energy and national security. It also includes developing energy systems, including geothermal energy, sustainable oil and gas production, storage and utilization, along with carbon sequestration.

Driven by a "science-to-solutions" philosophy, we provide scientific leadership and technology to enhance national security, mitigate natural hazards and optimize disaster response. In the critical areas of energy, environment, intelligence, and defense, we deliver insights and decision support through the development of tools and solutions.

Responsibilities

We are seeking early-career data scientists who are smart, creative, and motivated to work with us on a variety of programmatic risk projects, preferably with demonstrated experience in quantitative risk modeling. The successful candidate will use their expertise in risk management and data modeling to have sufficient depth of understanding of uncertainty methods to be comfortable applying them to one or more applications, including risk, nuclear energy, resilience, climate change, national security, natural systems, regulatory compliance, and complex engineered systems. This Level 1 position is based on a candidate having conceptual knowledge and practical experience in data science, to use best practices to improve risk analysis products. The candidate should be able to solve straightforward problems, complete work with some guidance and direction from others, will continue to develop additional skill sets, uses additional procedures to solve standard problems, and works within PNNL's guidelines and policies to meet objectives.

The successful candidate will be responsible for:

Conducting quantitative analysis, such as a schedule risk analysis or quantitative analysis using an in-house material production risk model.

Working independently with little to no oversite.

Developing or contributing to technical risk-related products within the required level of quality, timeliness, and cost guidelines provided by the project manager.

Effectively communicating uncertainty concepts and results, including contributing to the preparation of high-quality presentations and reports.

Qualifications

Minimum Qualifications:

BS/BA or higher

Preferred Qualifications:

Degree in a technical field such as Mathematics.

Knowledge of and practical experience in use of quantitative risk models.

Knowledge of and practical experience in analysis methods including Monte Carlo analysis and Discreet Event Simulations (DES).

The successful candidate will have a broad range of skills and familiarity with several of the following areas: probability, statistics, risk analysis, risk elicitation, modeling and simulation, and mathematical modeling.

Past performance must demonstrate attributes of being self-motivated and self-directed.

In addition to analytical skills, a successful candidate will have excellent written and oral communications skills and experience in preparing and reviewing the results of technical reports.

Familiarity with Java, Python, Matlab, QGIS, and Github

Hazardous Working Conditions/Environment

Not Applicable.

Testing Designated Position

Due to business needs and client space, US Citizenship is required.

Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements.

About PNNL

Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!

At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or 3-hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.

Commitment to Excellence, Diversity, Equity, Inclusion, and Equal Employment Opportunity

Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment.

Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.

We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov .

Drug Free Workplace

PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.

If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.

HSPD-12 PIV Credential Requirement

In accordance with Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

Mandatory Requirements

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.

Rockstar Rewards

Employees and their families are offered medical insurance, dental insurance, vision insurance, health savings account, flexible spending accounts, basic life insurance, disability insurance, employee assistance program, business travel insurance, tuition assistance, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company funded pension plan and may enroll in our 401k savings plan. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.

Research Associates excluded.

**Once eligibility requirements are met.

Click Here For Rockstar Rewards (https://careers.pnnl.gov/rockstar-rewards)

Minimum Salary

USD $86,900.00/Yr.

Maximum Salary

USD $138,800.00/Yr.

Keywords: Pacific Northwest National Laboratory, Olympia , Programmatic Risk Data Scientist 1, Other , Olympia, Washington

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