Data Science Lead

3 days ago

Chicago, Illinois, United States City of Chicago Full time
Job Summary

The City of Chicago is seeking a highly skilled Data Science Lead to join our team. As a key member of our department, you will be responsible for leading a team of data scientists and overseeing the development and implementation of advanced analytics methods to extract value from data and influence teams and decisions through the presentation of data-based insights.

Key Responsibilities
  • Lead a team of data scientists to provide data that is congruent and reliable, propose innovative ways to look at problems using data mining approaches, validate findings using experimental and iterative approaches, and present back their findings by exposing their assumptions and validation in a way that can be easily understood by enterprise stakeholders.
  • Model complex business problems and discover insights through the use of statistical, algorithmic, mining, and visualization tools.
  • Collaborate with cross-functional stakeholders to understand the enterprise usage of data, interact with project and product teams to provide insights and influence decisions, perform targeted analysis for leaders, and work often with engineers and technical administrators to architect specialized databases and computing environments.
  • Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science.
  • Identify AI business opportunities.
  • Collaborate across the business to understand IT and business constraints and with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options.
  • Prioritize, scope, and manage data science projects and the corresponding key performance indicators (KPIs) for success.
  • Define and communicate governance principles.
  • Discover new data sources, document them, and promote reuse.
  • Design and create data pipelines for more efficient and repeatable data science projects, as required.
  • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA).
  • Generate hypotheses about the underlying mechanics of the business process.
  • Test hypotheses using various quantitative methods.
  • Display drive and curiosity to understand the business process to its core.
  • Network with domain experts to better understand the business mechanics that generated the data.
  • Apply various ML and advanced analytics techniques to perform diverse classification or prediction tasks.
  • Integrate domain knowledge into the ML solution, for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing.
  • Test of ML models, such as cross-validation, A/B testing, bias and fairness, stress-testing.
  • Implement champion/challenger test (A/B tests) on production systems.
  • Monitor execution and health of production ML models.
  • Establish best practices for ML development and production infrastructure (e.g., cloud, Spark, GPUs, containers).
  • Train other business and IT staff on basic data science principles and techniques.
  • Train and coach peers on specialist data science topics.
  • Network with internal and external partners.
Requirements
  • Graduation from an accredited college or university with a Bachelor's degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, Economics, Engineering, or Physics, or a directly related field, with five (5) years of project work experience in launching, planning, and executing data science projects, or an equivalent combination of education, training, and experience.
  • Previous work/project experience in machine learning, artificial intelligence, cognitive science, or data science.
  • Previous work/project experience in text analytics, image recognition, graph analysis, or other specialized ML techniques such as deep learning, etc.
  • Previous work experience in executing end-to-end significant data science projects with the ability to manage large data science projects and diverse teams.
Selection Requirements

This position requires applicants to complete an interview. The interviewed candidate(s) possessing the qualifications best suited to fulfill the responsibilities of the position, based on the interview, will be selected.

Commitment to Diversity

The City of Chicago is committed to diversity and inclusion. We welcome applications from diverse candidates and encourage applicants to self-identify as veterans, residents of socio-economically disadvantaged areas, or Chicago Public School graduates.

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