Senior Data Scientist

Management Consulting | Customer & Marketing

Denver, Colorado, United States

Position Summary

Senior Data Scientist

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. 

At Deloitte Digital Marketing Services, we combine our clients’ customer data across all channels (in-store, online & call center) in order to develop state-of-the-art decisioning models that give them an edge in the marketplace.

We’re expanding fast and need brilliant data scientists like you to fuel our continuing innovation and growth. Along the way, you’ll find exceptional development opportunities limited only by your hunger for learning and applying new technologies in our exciting, start-up-like environment.

What you will be doing

As a 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 
  • Perform 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 model that are being generated 
  • Develop 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 that the proposed solution is performing as it should once it is released 

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

Our team

You’ll join a team of passionate, talented data scientists who collaborate to design, build and maintain cutting-edge models that arm our clients with the ability to spot customer value and act upon it. If you’re intellectually curious, hardworking and solution-oriented, you’ll fit right into our fast-paced, collaborative environment. In addition to working with our data science team, you’ll also work closely with our data engineering team to develop top-of-the-line data pipelines.

Qualifications

What you will need to be successful:

  • Master's degree in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science)
  • Good problem decomposition skills and autonomy when faced with solving data problems. A PhD in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) is one way to acquire this experience. Master's degrees will still be considered as long as they can demonstrate the required ability. 
  • At least 3+ years of industry experience outside of academia. 
  • 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) 
  • Be able to write high quality Python code. This means being familiar with unit testing, source control and code review 
  • Experience working in Agile teams and using Scrums to organize work 
  • Demonstrated communication capabilities. We ask that you be able 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
  • Limited immigration sponsorship may be available
  • Ability to travel up to 30%, on average, based on the work you do and the clients and industries/sectors you serve

Things that would help you stand out:

  • 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
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Our people and culture

Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture.

Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.


As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Requisition code: 109875

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