DATA SCIENCE LEAD

Data Science Lead

Department of Technology & Innovation

Number of Positions : 1

Additional vacancies possible pending budget approval)

Salary : $127,584.00

Applications for this position will be accepted until 11 : 59pm CDT on 07 / 24 / 2024

Under direction, this is a Lead level classification.The class is primarily supervisory in nature overseeing and leading all large and critical initiatives focused on the overall management and maintenance of advanced analytic methods to extract value from data and influence teams and decisions through the presentation of data-based insights, and performs related duties as required.

This class is assigned to the Leadership Technology Job Family which consists of positions responsible for overseeing the identification, prioritization, and delivery of work activities, coach and developing employees, providing thought leadership to business partners, and shaping and executing the technology vision and strategy to maximize business values.

ESSENTIAL DUTIES

• Leads a team of Data Scientists that is accountable for providing 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
• Models complex business problems and discovers insights through the use of statistical, algorithmic, mining, and visualization tools
• Collaborates with cross-functional stakeholders to understand the enterprise usage of data, interacts with project and product teams to provide insights and influence decisions, performs targeted analysis for leaders and works often with Engineers and Technical Administrators to architect specialized databases and computing environments
• Guides and inspires the organization about the business potential and strategy of artificial intelligence (AI) / data science
• Identifies AI business opportunities
• Collaborates 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
• Prioritizes, scopes and manages data science projects and the corresponding key performance indicators (KPIs) for success
• Defines and communicates governance principles
• Discovers new data sources, documents them and promotes reuse
• Designs and creates data pipelines for more efficient and repeatable data science projects, as required
• Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
• Generates hypotheses about the underlying mechanics of the business process
• Tests hypotheses using various quantitative methods
• Displays drive and curiosity to understand the business process to its core
• Networks with domain experts to better understand the business mechanics that generated the data
• Applies various ML and advanced analytics techniques to perform diverse classification or prediction tasks
• Integrates domain knowledge into the ML solution, for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing
• Tests of ML models, such as cross-validation, A / B testing, bias and fairness, stress-testing
• Implements champion / challenger test (A / B tests) on production systems
• Monitors execution and health of production ML models
• Establishes best practices for ML development and production infrastructure (e.g., cloud, Spark, GPUs, containers)
• Trains other business and IT staff on basic data science principles and techniques
• Trains and coaches peers on specialist data science topics
• Networks with internal and external partners

Additional duties may be required for this position

Location : 2. N. LaSalle St.

Days : Monday-Friday

Hours : 9am-5pm

THIS POSITION IS EXEMPT FROM THE CAREER SERVICE

Qualifications

MINIMUM QUALIFICATIONS

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.

NOTE :

Preference will be given to candidates possessing the following :

• 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.

APPLICATION EVALUATION : Initial evaluation will be based on information provided on the application and the documents submitted.

Department of Human Resource staff will review applications after the final posting date.Staff will follow any and all required Employment / Hiring Plan provisions, federal, state and local laws, and Collective Bargaining Agreements when applicable.

Staff will apply hiring preferences as required by the municipal code. Placement on an eligibility list is not an offer or guarantee of an interview nor employment with the City of Chicago.

COMMITMENT TO DIVERSITY : To further our commitment to hiring applicants with diverse experience the City of Chicago has adopted the following ordinances 2-74-020 and 2-74-075.

The ordinances provide a preference to applicants who meet minimum qualifications and who are veterans of the Armed Forces, and / or residents of Socio-Economically Disadvantaged Areas (SEDA) and / or Chicago Public School (CPS) high school graduates to be referred to departments for consideration.

These hiring preferences do not apply to bidders, as Collective Bargaining Agreements define the hiring process for bidders.

For positions covered by a collective bargaining agreement, bidders will be considered before external candidates. To learn more about our hiring practices

ALL REFERENCES TO POLITICAL SPONSORSHIP OR RECOMMENDATION MUST BE OMITTED FROM ALL APPLICATION MATERIALS SUBMITTED FOR CITY EMPLOYMENT.

The City of Chicago in an Equal Employment Opportunity and Military Friendly Employer.

City of Chicago

Brandon Johnson, Mayor