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.
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.
What you will need to be successful :
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
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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