Data Science Manager

Description:

As a Data Science Manager, you will play a key role in leading the delivery, building capabilities, and pursuing new data science opportunities in high-growth areas including retail analytics, customer analytics, marketing analytics, and optimization solutions. You will take a lead in delivering advanced analytics solutions and advisory services to high-growth organizations, managing and supporting a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders.

You will be responsible for client communication, from sales and business problem definition to final delivery, knowledge transfer, and model maintenance. You will guide your team through solutioning and delivery, including advanced analytics model design and development, insight generation, and the development of AI and ML models. As a key part of this process, you will make most appropriate model selection and ensure quality and delivery of statistical and AI/ML models, computations, and data ETL by the data science team, to deliver best-of-breed analytical solutions for clients’ business problems. You and your team will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will be a principal link between data science team and the client and will regularly communicate insights on client projects and provide support in planning and data collection. You will both lead and support pitches and proposal bids to drive business development.

About The Team Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-one experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

Enough about us, let’s talk about you You are someone with these required skills, experience and qualifications:
 

• 5+ years of experience in applying analytics or model development using data in a professional context.
• Significant experience with statistical techniques, data mining, optimization (linear programming), and predictive models.
• Significant hands-on experience in Optimization / Linear Programming (LP)
• Retail/consumer analytics such as product, offer, pricing models, and demand forecasting
• Customer and marketing analytics such as segmentation, acquisition, retention modeling, marketing mix, attribution models
• Proficiency in hands-on data analysis and modeling using Python.
• Experience with databases and programming languages (SQL, Oracle, Hadoop, NoSQL) for data manipulation and integration.
• Experience with cloud ML platforms (AWS, GCP, Azure) is an asset.
• Experience with natural language processing and/or GenAI is an asset.