Senior Data Scientist
Chicago, IL, United States
We are seeking a Senior Data Scientist to join our growing IT Data Science team to work on modernizing and transforming our use of data to provide accurate and actionable insights for our customers. The Senior Data Scientist will work cross functionally, be hands-on and analyze sophisticated business processes and ideas to create innovative solutions. You will have autonomy and the ability to collaborate with team members, business colleagues, and directly with customers.
Duties and Responsibilities :
Work with business stakeholders, understand their needs and develop innovative analytical solutions.
Enhance the data science domain through your knowledge and expertise
Mentor junior data scientists and create data science domain awareness among peers and customers
Assist in the scoping and development of new analytical initiatives
Collect, connect, and preprocess relevant structured and unstructured data from disparate sources, including internal databases, open data platforms, and third-party providers
Perform exploratory data analysis (EDA), generate and test working hypotheses, and uncover interesting trends and relationships in member data, particularly in the context of increasingly difficult open-ended questions
Develop statistical analyses and build machine learning models that help explain and predict trends along dimensions of membership growth, retention, and engagement
Design and integrate visualizations in comprehensive dashboards that enable key stakeholders to monitor and react to important membership trends
Stitch together a comprehensive and compelling story that helps describe analytical results and strengthen insight-driven decision-making
Support ad hoc analytical requests from colleagues in the group
Assist in the acquisition and integration of new data sources into the data lake
Interact with external clients, collaborate with stakeholders, and take ownership of projects from start to finish
Work with disparate data sets and fuse them to create research papers, dashboards, and deliverables
Keep up to date with the latest news and innovations within Data Science and adjacent fields to ensure projects and visions stay relevant
Other duties, as assigned
Qualifications :
3 to 5 years of relevant experience as a Data Analyst, Data Scientist, or another analytical-oriented position is required
3 to 5 years of experience coding in Python, R, or Scala
3 to 5 years of experience with data processing (ETL) and traditional structured databases like SQL or Oracle
3 to 5 years of experience building supervised and unsupervised machine learning methods and deploying into production (i.e. regression models, random forests, NLP, visual recognition, clustering)
Experience with data visualization tools such as Power BI, Tableau, matplotlib, or ggplot
Experience with cloud services and their compute, storage and analytics services
Experience with Azure or AWS AI tools and services, ML platforms and frameworks
Experience with project and task management tools
Experience working in a collaborative team using code repositories and processes utilizing GitHub and code check in, review and check out cycles
Excellent communication and presentation skills