Data Scientist

DLR Group
Minneapolis, MN Full Time
POSTED ON 4/18/2022 CLOSED ON 10/10/2022

What are the responsibilities and job description for the Data Scientist position at DLR Group?

DLR Group is an integrated design firm that aspires to be the most creative enterprise on the planet. Our brand promise is to elevate the human experience through design. If that challenge is appealing, you're at the right place.

DLR Group has an opening for a innovate and motivated Data Scientist.

Position Summary:

As a Data Scientist at DLR Group you will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better designs and products for our clients. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

We are an employee-owned firm where everyone is empowered to use their design voice; this inspires our culture and fuels the passion for the work we do around the world. Bring your creativity and passion and come join us in our mission to elevate the human experience through design!

The successful candidate will:

  • Work with engineers, architects, and management to frame open ended problems in terms of deliverables that can be generated using data science techniques.
  • Work with subject matter experts to evaluate multiple internal and external datasets for applicability and usefulness in achieving model objectives.
  • Work with management and user community to scope and prioritize project efforts using risk vs value criteria.
  • Explore and examine data from a variety of angles using appropriate profiling techniques to understand the data and determine hidden weaknesses, trends, and/or opportunities.
  • Employ appropriate visual, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling.
  • Create data driven solutions that provide structure, assist in the decision making process, and facilitate automation.
  • Devise new algorithms to solve problems and tools to automate work efforts.
  • Appropriately evaluate and tune models to insure business objectives are achieved.
  • Effectively communicate recommendations to stakeholders and management.
  • Periodically evaluate existing models to insure continued effectiveness.
  • Help champion the appropriate use of machine learning and statistical methods as an effective means to decision making and automation
  • Creates training materials, and delivers formal and informal training sessions to increase awareness and utilization of quantitative methods for evaluating data and decision making.
  • Provides mentoring for those seeking to machine learning and statistical methods.
  • Assist in the evaluation of tools for doing visual and quantitative analysis, as well as tools and techniques for deploying predictive and prescriptive solutions.
  • Assist in identifying opportunities to improved data collection techniques.

Required Qualifications:

  • 4-year degree or equivalent experience required, advanced degree beneficial
  • 5 years’ experience developing models for decision support and process automation
  • Excellent understanding of machine learning techniques and algorithms such as Regression, Decision Trees, k-NN, Naïve Bayes, and Neural Networks especially with sklearn
  • Experience deploying decisions enhancing tools and analysis that have impacted your organization
  • Simulation analysis
  • Data manipulation with pandas and or the tidyverse
  • Experience with survey analysis
  • Cluster analysis with dbscan, hdbscan, kmeans, kmodes
  • Dimensionality reduction with pca, t-sne
  • Experience with network analysis and tools like networkx, especially community detection
  • Experience with spatial data analysis and leaflet or leaflet based tools
  • Excellence within NLP, word2vec, text mining, transformer with tools like genism, nltk, and tensorflow.
  • Dashboarding with powerbi, tableau, shiny, dash, panel. Panel and powerbi preferred.
  • Experience monitoring, maintaining and retraining deployed ML models.
  • Working knowledge of R and Python Data science ecosystems, and excellence in at least one.
  • Proficiency in SQL

Preferred Qualifications:

  • Experience in hospitality, mixed-use, k-12, justice & civic
  • Experience working with IoT
  • Architecture education
  • Experience with revit and or grasshopper
  • Extensive C# programming experience

DLR Group is a 100% employee-owned firm. Our brand promise is to elevate the human experience through design. This promise inspires sustainable design for a diverse group of public and private sector clients; local communities; and our planet. DLR Group fully supports the initiatives and goals of the 2030 Challenge and is an initial signatory to the AIA 2030 Commitment. Visit dlrgroup.com and follow us on Twitter, and at LinkedIn.

We are proud to be an EEO/AA employer M/F/D/V.

Please visit our website at www.dlrgroup.com to learn more about DLR Group and the exciting work we are doing.

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