Data Scientist – Driving automation and energy

Argonne National Laboratory

Lemont, IL

Job posting number: #7122715 (Ref:414815)

Posted: February 1, 2023

Application Deadline: Open Until Filled

Job Description

Argonne’s Vehicle and Mobility Systems department (VMS, vms.taps.anl.gov) is looking for a data scientist to prepare and analyze large datasets collected from millions of miles of real-world driving. The data has a small sample time (.1s-1s), dozens of attributes (powertrain, radar, localization, etc.) and occasionally video feeds. Data come from different sources, resulting in heterogeneity between subsets.

The candidate will:

Develop/improve a standardized and reusable data pipeline to ingest, process and store the data.
Develop/reuse analytical tools to explore and perform analysis over the data.
Test, document, and package the tools.
Perform analytics to support research questions.
Develop statistical or ML/DL models from data and integrate them in larger models.

The data will support research on automated driving and transportation energy-efficiency, e.g., when do drivers turn automated driving systems (ADS)? How does ADS compare to human driving energy-wise? How much does temperature affect energy consumption? How do human drivers react to preceding vehicles?

The candidate will join a large multi-disciplinary team that researches technologies to decarbonize transportation and develops recognized simulation tools in support of that. The VMS team collaborates with partners across the lab, with industry and academia, and has access to world-class HPC and experimental facilities.

Position Requirements

Experience in data analytics, including data management, signal processing, analysis and visualization
Experience with large time-series datasets
Knowledge in statistical modeling
Experience in software development, incl. source control, documentation, testing, packaging.
Experience in developing complex Python libraries.
Experience with machine-learning/deep-learning: model selection, model optimization, model training and validation
A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

The selected candidate will be placed at the appropriate level (RD2 or RD3) depending upon depth and breadth of relevant knowledge, skills, and experience brought to the position. The requirements for the desired levels are as follows:

RD2 Level: Bachelor’s and 5+ years; Master’s and 3+ years; Doctorate and 2-4 years, or equivalent
RD3 Level: Bachelor’s and 8+ years; Master’s and 5+ years; or Doctorate and 4+ years; or equivalent.

Preferred Qualifications:

Experience with geospatial data.
Experience with video processing and image recognition.
Experience with following tools/libraries: Tableau, HERE API, Google API, YOLO, Dask, etc

Job Family

Research Development (RD)

Job Profile

Computational Science 2

Worker Type

Regular

Time Type

Full time

As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

Please note that all Argonne employees are required to be vaccinated against COVID-19. All successful applicants will be required to provide their COVID-19 vaccination verification as a condition of employment, subject to limited legally recognized exemptions to COVID-19 vaccination.

Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

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