Data Scientist

We have partnered with our client in their search for a Data Scientist to work Hybrid in Chicago, IL. As a Data Scientist will perform analytical tasks and initiatives on huge amount of data to support data-driven business decision and development. Your mission is to cultivate a data-driven product development culture, utilizing insights to optimize our digital investments. Drive the expansion of revenue and customer base by enhancing dealer business operations and elevating product utilization through enhanced customer engagements.

Responsibilities

• Directing the data gathering, data mining, and data processing in large volume; creating appropriate data models.
• Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
• Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
• Evaluating and conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.

Skills Required

• Solid knowledge in applying Python (NumPy, SciPy, Pandas, etc.) programming to solve business challenges.
• Working knowledge and experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
• Experience with AWS services, Cloud ELT/ETL, Snowflake, SQL.
• Strong knowledge of end-to-end data lifecycle across traditional data warehouses, relational databases, operational data stores, business intelligence reporting, as well as new concepts such as data fabrics, data mesh, and data lake house.
• Strong understanding of data governance, metadata management, data quality, data modeling, and data architecture concepts.
• Knowledge of data technology products and components for Big Data and Cloud (AWS, Data Lakes, and similar)
• Ability to clearly communicate complex technical ideas, regardless of the technical capacity of the audience.
• Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
• Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
• Analytics Programming Language: Python, R, SQL and SAS
• Data Engineering and Warehousing: Snowflake
• ML Platform: PyTorch or Tensorflow
• Insights Delivery: PowerBI; Rshiny / Dash / Streamlit
• Cloud Platform: AWS (S3, EC2, LAMBDA, Glue, Sagemaker) or its equivalent in Azure
• AI and Gen AI Orchestration: Ollama, AWS Bedrock / Sagemaker or Azure ML / Azure OpenAI

Education & Work Experience

• Master's degree with 5 years of experience or a Bachelor's degree with 10 years of experience in Computer Science, Mathematics, Engineering, Accounting, Statistics, Data Science, Business Analytics, or a closely related field with extensive coursework in mathematical and statistical modeling.

Title: Data Scientist

Location: Chicago, IL

About Korn Ferry

Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at