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Data Scientist

Experienced

CentralSquare Technologies | Development | Greensboro, NC

The Central Square Labs team is seeking a data scientist to join the team in building new, innovative solutions for public safety and administration.  You will work with a team of other data scientists, engineers, UI/UX designers, and product managers to create cloud-based applications that use data analysis and machine learning to support new capabilities across the Central Square product line.  You have experience working on a high performing team, applying machine learning to solve problems, and want to iteratively craft user-centric solutions that are both scalable and supportable.  Your entrepreneurial energy and desire to have an impact in society make you challenge the status quo and strive to apply new tools and approaches to solve difficult problems.  Your experience working with product managers to translate requirements into data science solutions will help the team execute on our product vision.

About Central Square Labs

The innovation Lab at Central Square is a new team tasked with prototyping and scaling new, emerging solutions to support the broader Central Square mission of improving communities through our public safety and administration solutions.  As a new team, we are ramping up our engineering efforts with a focus on creating cloud-based data analysis pipelines that use machine learning to improve the efficiency and effectiveness of government agencies.  For instance: How can machine learning make police patrols more efficient and equitable?  How do we craft ML models that are not only accurate but also fair and transparent?  How do we deliver ML services to other teams in a supportable and scalable manner?  If these questions speak to you, then the Labs team is the right environment in which to answer them.

What You’ll Do

  • Craft classification and regression predictive models using machine learning techniques
  • Build and maintain modeling pipelines
  • Propose data science architectures to fulfill requirements
  • Give feedback on data science code through code reviews
  • Collaborate with engineers to support feature engineering and production roll-outs
Skills & Requirements

You Should Have

  • 2+ years of data science experience
  • Experience with ML tools (Tensorflow, Pytorch, or Sci-kit Learn)
  • Proficiency in processing tabular data (e.g. Pandas / R / Spark dataframes)
  • Understanding of common ML techniques (k-NN, random forests, boosting, penalized regression, deep learning) and best practices (cross validation, hyperparameter tuning)
  • Excellent verbal and written communication skills
  • Proficiency with Python

You Get Extra Points For

  • Degrees relevant to Computer Science, Mathematics, Statistics and Data Science
  • Experience with anomaly detection, multi-armed bandits, or recommendation systems
  • Experience with SQL
  • Experience with data visualization tools (D3, Plotly, ggplot2)
  • Experience using big data analytics platforms such as Dask or Apache Spark
  • Experience with additional programming languages such as Scala or R.
  • Experience with designing data structures and relational databases
  • Experience with Agile methodologies (e.g. Scrum, backlog grooming, sprint planning)