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Data Scientist at Deloitte (Chicago, IL)

Hux Data Scientist

 NOTE: to be considered for this position you must have 3 or more years experience on the job as a Data Scientist. 

Locations: New York, NY – Greensboro, NC - Chicago, IL – Raleigh, Durham, Chapel-Hill, NC

At Deloitte Digital Marketing & Experience Services, we help marketers optimize their customer experience to win in the marketplace. We're combining data, decisioning and real-time delivery to build and manage customer data ecosystems that enable our clients to acquire, engage and retain customers in a dramatically different and improved manner. With customer data as a foundation, we help clients deliver dynamic, personalized customer experiences across all engagement channels using machine learning and artificial intelligence.

Do you enjoy exploring datasets? Are you passionate about creating algorithms that operate on terabytes of data?  If so, Deloitte Digital is seeking creative minds and persistent problem solvers to build and support cutting-edge marketing data science solutions that help our clients deliver customer value at every touchpoint. 

We’re growing fast and need brilliant Data Scientists like you to fuel our continuing innovation and help us scale.  Along the way, you’ll find exceptional growth opportunities limited only by your hunger for learning and ability to apply best practice methodology in our start-up-like environment.

 Work you’ll do

As a Hux Senior Data Scientist, you will be tasked with solving data problems end to end.  This means: 

  • Being able to get an understanding of the multi-channel marketing optimization problem space 
  • Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes 
  • Specifying a research plan 
  • Running experiments and extracting the necessary data 
  • Being able to interpret the models being generated 
  • Developing a proof of concept to verify your ideas 
  • Assisting the Data Engineering team in setting your proof of concept live in our production environment 
  • Closing the loop to make sure the proposed solution is performing as it should once it is released 

Because this is a senior role, we’re looking for candidates that can carry out research in an autonomous fashion. 

The team

Advertising, Marketing & Commerce

Our Advertising, Marketing & Commerce team focuses on delivering marketing and growth objectives aligned with our clients’ brand values for measurable business growth. We do this by creating content, communications, and experiences that engage and inspire their customers to act.  We implement and operate the technology platforms that enable personalized content, commerce and marketing user-centric experiences. In doing so, we transform our clients’ marketing and engagement operations into modern, data-driven, creatively focused organizations. Our team brings deep experience in creative and digital marketing capabilities, many from our Digital Studios.

We serve our clients through the following types of work:

  • Cross-channel customer engagement strategy, design and development
  • (web, mobile, social, physical)
  • eCommerce strategy, implementation and operations
  • Marketing Content and digital asset management solutions
  • Marketing Technology and Advertising Technology solutions
  • Marketing analytics implementation and operations
  • Advertising campaign ideation, development and execution
  • Acquisition and engagement campaign ideation, development and execution
  • Agile based, design-thinking, user-centric, empirical projects that accelerate results


Master’s degree required, PhD in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) preferred.

  • 3+ years of industry experience outside of academia. 
  • 3+ years of experience manipulating big data using opensource frameworks.  This means being familiar with tools such as Spark, Kafka, Hadoop, Impala and Luigi.  In addition, because we handle very large volumes of data, past work with cloud-based environment is required. 
  • Knowledge of current modeling tools such as XGBoost or Vowpal Wabbit (or equivalent) 
  • Ability to write high-quality Python code and familiarity with unit testing, source control and code review 
  • Experience working in Agile teams and using Scrums to organize work 
  • Demonstrated communication capabilities.  Ability to explain your insights to people beyond the data science team.  This means knowing how to best craft your message and selecting the right visualizations
  • Good problem decomposition skills and autonomy when faced with solving data problems. 

Helpful, but not required:

  • A proven ability deploying automated data processing pipelines. 
  • A deep interest in Data Science and AI.  A good measure of this would be competition participation (Kaggle or other) as well as participation in open courses 
  • If you have code in the open domain (for example GitHub) or have written about AI/DS please share this with us 
  • Some experience in Ad Tech or Marketing technology is a plus.