ConvergeCONSUMER – Data Science Lead

Company Details

Data Science Lead , DemandBrain Product, ConvergeCONSUMER, Deloitte Consulting

ConvergeCONSUMERâ„¢ is a product-driven business that combines differentiated consumer insights with next-generation decision and experience platforms to help consumer-focused businesses optimize decision making and deliver personalized experiences to drive growth, consumer loyalty and profitability. We operate with the speed and agility of a startup, inside the world’s largest professional services firm.

We drive value for our clients by optimizing decisions and actions at a level of granularity only made possible with today’s data and technology.ConvergeCONSUMER’s suite of solutions help consumer-facing businesses prosper in a world being re-shaped by convergence, in which the lines between industries, competitor and collaborator, consumer and supplier, and even human and artificial intelligence have blurred. Our approach for addressing this complexity is simple: we’re combining Deloitte’s next-generation technology platforms with decades of experience in the consumer sector and requisite understanding of its unique issues and challenges to drive profitability and future growth for our clients

As the DemandBrain Data Science Lead, you will be responsible for ensuring that our products continually integrate the latest data science techniques to address top of the mind use cases for our clients. Our DemandBrain product encompasses demand forecasting and “demand decomposition” – also understanding the drivers and detractors of demand. Your days will be spent helping frame business problems into data science solutions, researching latest data science techniques, and providing technical direction to product teams. If you thrive in an environment where colleagues teach and learn from each other to be at our analytical best, we want to hear from you.

Work you’ll do

  • Work closely with the Product Managers and Product Owners to understand market needs and provide hands-on technical thought leadership to solve these problems through advanced AI / ML capabilities
  • Lead the design and development of production grade AI / ML product capabilities
  • Stay abreast of AI / ML technologies, academic research and analytical trends
  • Evaluate different technical approaches to solve problems and articulate recommendations on the right methodologies that ML engineers should follow
  • Stay involved in the agile software development lifecycle by reviewing user stories and participating in sprint reviews


  • Bachelor’s Degree in a relevant field from a top-tier university; Advanced Degree (Masters or PhD) in a relevant field is a plus
  • 5+ years’ experience leading / implementing data science solutions
  • Familiarity with consumer related data and a general interest in the retail, consumer products manufacturing, automotive, transportation, or hospitality sectors
  • Deep understanding of data science principles, including machine learning, deep learning and artificial intelligence concepts
  • Analytical mind with proven ability to dissect problems, devise data science solutions, and drive business outcomes
  • Knowledge of and experience working with data architectures, data models, and data security and data governance
  • Experience developing, implementing and maintaining machine learning and advanced statistical algorithms
  • Experience working with large quantitative and qualitative datasets both hands on and managing teams doing the work
  • Proven skills in various programming and database languages, such as Python, PySpark, SQL
  • Experience with BI/analytics tools, such as Tableau, PowerBI, or similar tools
  • Experience using statistical computer languages to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling
  • Experience working with data science tools, e.g., TensorFlow/Keras, PyTorch, Sklearn
  • Experience in cloud-based eco-systems such GCP, AWS, or Azure for development and deployment of models
  • Strong storytelling skills with experience presenting to large technical and non-technical audiences
  • A desire to take initiative and continuously work on improving the products you are responsible for

Qualified applicants must be able to work in the Unites States without need for sponsorship now or in the future




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