MUST BE IN CHICAGOLAND AREA FOR CONSIDERATION

Essential Duties and Responsibilities

• Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.
• Identify and apply best analytical techniques to achieve business objectives.
• Design, develop, and deploy advanced analytics solutions, including predictive and prescriptive outputs, insights, and visualizations to enable business users to make better data-driven decisions.
• Execute analytic activities supporting solution development, including data gathering, cleansing, and integration, statistical transformation and modeling, and feature engineering and selection.
• Develop deep understanding of internal and external data.
• Create appropriate standards and processes to ensure quality and consistency solutions.
• Direct activities of associate/senior data scientists, third-party contractors, and consultants for specific business projects.
• Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
• Maintain professional and technical knowledge by attending educational workshops, professional publications, establishing personal networks, and participating in professional societies.
• Contribute to the team effort by accomplishing related results and participating on projects as needed.

Experience:

• 5 years of relevant work experience
• Expert knowledge of statistics and machine learning methods, including regression, classification, time series analysis, clustering, simulation, dimension reduction
• Demonstrated aptitude distilling complex business problems into clear data science and advanced analytics models and solutions that can and will be adopted and implemented
• Ability to effectively lead projects from conception to conclusion, both independently and in a team environment (including working with both internal and external business partners)
• Expertise developing and applying machine learning algorithms
• Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights
• Proficient in Python, R, SQL
• Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure)
• Proven track record of leading projects and cross-functional teams
• Strong problem-solving and analytical thinking skills

Education/Certifications:

• Master’s degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study

Preferred Experience:

• Experience working with Agile methodologies
• Experience using data visualization tools (e.g., Power BI)
• Experience with IOT, software-defined customer experiences, private equity backed companies