Part Time Associate Data Scientist (Sustainable Transportation Initiative)

Berkeley Lab - California - Berkeley Lab’s Energy Analysis and Environmental Impacts Division (EAEI) is looking for a Part-Time Associate Data Scientist to join their Sustainable Transportation Initiative! In this role, you will be responsible for managing data analytics for a variety of transportation-related data sources. Your focus will be on addressing data quality issues, data processing using script-based pipelines that maintain provenance, evaluating results of our large-scale urban simulation results for a variety of scenarios, comparing and contrasting scenario results to suggest next-generation transportation management and policies. This role will operate in a fast-paced environment where every day brings new challenges and new opportunities. You will be supporting the research infrastructure necessary to support Smart Cities projects by analyzing and processing transportation data for use in the modeling of regional-scale transportation networks. Specific projects include the Big Data Systems for Mobility effort on behalf of the Department of Energy’s (DOE) Vehicle Technologies Office. We are looking for a talented data-driven early-career professional with a technical background in computer science, data science or engineering, that has a strong skill set in data analysis and programming. What You Will Do: Perform data analysis on the trajectory and volume of vehicles on traffic networks. Integrate analytical outputs into regional-scale models. Work with large CSV data files and SQL to model multidimensional datasets. Provide analytical and creative solutions based on robust data analytic methods. Interface with other project members to support Smart Cities Research Center requirements. Respond to high-priority requests from external program management. Own the maintenance of ongoing metrics, reports, analyses, and dashboards to drive research progress. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Write ad-hoc reporting queries of data sources. Analyze and solve problems at their root, stepping back to understand the broader context. What is Required: Bachelor’s Degree in Computer Science, Engineering, Math, Finance, Statistics, or a related field, and a minimum of 2 years of related professional experience or the equivalent combination of education and experience. Experience with transportation computer modeling and data analytics, statistical modeling, machine learning, and using Python, R, Julia, or other statistical/machine learning software. Experience with Docker and running containers on AWS ECS. Strong understanding of data models and metadata to support large-scale data pipeline processing with the ability to extract, transform, and load data from a wide variety of data sources. Knowledge of PostGres and Amazon Web Services (AWS) including ECS, S3. Strong communication and presentation skills. Exceptionally strong written, oral, and interpersonal communication skills including the ability to present information to a variety of diverse audiences using a high level of scientific judgment and initiative. For full consideration, please apply by April 5, 2021, with the following application materials: Cover Letter - Describe your interest in this position and the relevance of your background. Curriculum Vitae (CV) or Resume. Notes: This is a part-time, exempt from overtime pay (monthly paid), 1 year, Term appointment with the possibility of renewal up to a maximum of 5 years total or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs. Salary is commensurate with experience. This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. Due to COVID-19, this position may be performed remotely initially but limited to individuals who can reside in the United States. Once the Bay Area shelter-in-place restrictions are lifted, work may be performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Learn About Us: (LBNL) addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science. The focuses on three broad areas: Energy Markets, Policy, and Infrastructure; Energy and Environmental Systems Analysis; and Appliance and Equipment Standards. We develop analytical and experimental methods and tools to assess the technical, economic, and market potential of energy technologies, as well as the associated social, economic, health, and environmental impacts. Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab- . Berkeley Lab is committed to Inclusion, Diversity, Equity, and Accountability and strives to hire individuals who share these same values and commitments. Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Click to view the poster and supplement: "Equal Employment Opportunity is the Law."... - Permanent - Part-time

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