Data Sciences Director (Client role)
Maven Advisors is currently conducting a client search for a Director / Senior Director of Data Sciences for a leadership position within our client’s Chicago based headquarters. This role will oversee the design, development and strategic application of the analytics, machine learning and statistical modeling functions within the organization. The Director of Data Sciences will lead a team of Data Scientists responsible for data mining, integration, and preparation for use in advanced analytics and prioritize the Data Scientist resource allocation across the enterprise.
In addition, this position will oversee model integrity and performance while working closely with Data Sciences to continuously improve/enhance advanced analytics effectiveness. The Director of Data Sciences will also serve as the business owner for all advanced analytics tools, including their access and application. In this capacity, they will establish structure, methodological approach, and direction on projects undertaken by the Advanced Analytics team, which will bridge the gap between transactional analysis, business research and strategy.
The Director of Data Sciences will report directly to the VP of Analytics and work closely with the Decision Sciences Team, Data Governance Team, analytics and IT leaders as well as third-party analytics partners.
Position: Data Science Director / Senior Director (Level based on candidate experience)
Location: Near Northwest Suburbs of Chicago, IL (Relocation Available)
Compensation: Competitive base plus 30% bonus
Education: MS or Ph.D. in in Statistics, Mathematics, Data Science, Computer Science or related disciplines preferred
Travel: Available for occasional travel as business requires (less than 5% of time)
Supervision: 7-10 Data Scientists
Business / Leadership Experience: Minimum 10 years progressive experience in applied quantitative analysis in CPG, retail, hospitality, supply chain, distribution/transportation or large B2B services or other vertical with a high volume of transactional data highly preferred. Prior managerial experience required. 7+ years of experience as a proven leader generating advanced analytics solutions to address business needs with experience managing the entire Analytics Software Development Lifecycle. Strong business acumen with proven experience developing analytical models, monitoring them in production, and measuring their business impact.
Technical Knowledge: Experience working with and implementing one or more key technologies / platforms including: Python, R, SQL, SAS, Spark, Hadoop/HDFS, NoSQL databases, Tableau or related technologies, data preparation, model management, machine-generated data visualization platforms, and NLP solutions.