Data Scientist

AtkinsRéalis•Los Angeles, CA

4d•Hybrid

About The Position

We are seeking a Data Scientist to join our Constructions Data Intelligence team in Los Angeles, CA. Under supervision, work collaboratively with industry experts to uncover hidden insights that solve important and impactful real-world problems within a growing team of data specialists. Utilize advanced technology stacks to analyze complex datasets to build and deliver solutions to diverse problems. Carries out job functions within small, project-oriented, multidisciplinary teams of Data Science professionals and supports direct interaction with clients within the context of project progress meetings, design reviews, operations, and project production and delivery.

Requirements

BS or BA in data science, computer science, mathematics, statistics, or other related degree.
Minimum 2 years since Bachelor’s or 1 year since Master’s in related experience in data analytics/data science.
Non-degree practitioners must demonstrate at least six (6) years relevant experience in lieu of degree.
Must be familiar with industry standard database software, dashboard software and have scripting experience with python or “r” software.
Development of dashboards in MS PowerBI and/or Tableau.
Good technical writing, analytical and communications skills essential, including ability to present concepts verbally.
Working knowledge of Microsoft Office products, including Word, PowerPoint, Excel, and Access is desired.
Familiarity with the use of Microsoft Outlook or equivalent e-mail program is desired as well as the use of Internet and other information processing and storage techniques to support research of alternatives and the definition of designs and concepts.

Nice To Haves

MS degree preferred.

Responsibilities

May participate in collection, conversion, and assembly of data in a variety of formats.
Assist in the analysis of data to help clients improve efficiency of operations.
Assist in development of data collection systems and databases.
Collect and organize data from many different sources, including structured and unstructured data.
Discover trends and patterns, combine various algorithms and modules.
Use machine learning tools to select features, create and optimize classifiers.
Work with team members and leaders to develop a data strategy.
Develop dashboards and other reporting tools to present data for decision makers.
Performs other such duties as the supervisor may from time to time deem necessary.