Deloitte Senior Data Scientist in Greensboro, North Carolina
Senior Data Scientist
In today s world, customers expect companies to know who they are and what they want. Customers want to have products, services or experiences that best suit their needs delivered to them seamlessly across physical and digital channels.
Customers are human first: driven by dynamic wants, needs, and desires. The ability for brands to make personal, meaningful connections on a human level has never been greater and Hux by Deloitte Digital delivers on those experiences in a way that allows companies to own the customer journey end to end.
Hux is the Human Experience Platform by Deloitte Digital. We help companies connect key data sources to understand what matters most to people; connect to advanced technologies like AI and machine learning to sense and respond to those needs at scale; and connect their systems to unlock insights, create collaboration and drive acquisition, engagement and loyalty. Most importantly, we empower companies to connect with customers in personal, meaningful ways that respect them as people, not just customers.
Hux by Deloitte Digital gives companies the ability to build and leverage the connections between people, systems, data and technologies so they can deliver personalized, contextual experiences to customers at scale.
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 touch point.
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 do
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.
Master's degree in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science)
Limited immigration sponsorship may be available
3 years of industry experience outside of academia.
A proven ability deploying automated data processing pipelines.
Good problem decomposition skills and autonomy when faced with solving data problems.
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.
A PhD in a quantitative field
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.
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
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.
Some experience in Ad Tech or Marketing technology is a plus.
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.
How you ll grow
At Deloitte Digital, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there s always room to learn. We offer opportunities to help sharpen skills, work with industry-leading talent on a daily basis, in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career, while delivering products and services to Fortune 500 clients. Explore Deloitte University, The Leadership Center. at https://zoomforth.com/s/deloitte/du#home
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. at http://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html
Deloitte s culture
Who says work can t be fun? At Deloitte Digital, the worlds of business, creative, and technology intersect to transform the way we work, play, and communicate. We can t quite put our finger on it, but that combo creates something kind of magical. In studios or on the road, we believe in our people, and we understand that quality of life directly impacts quality of work. We pride ourselves on our flexible work environment and distinctive culture. Learn more about life at Deloitte Digital. at https://zoomforth.com/s/deloitte/welcome-to-deloitte-digital
purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte s impact on the world. at http://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-corporate-citizenship.html
We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you re applying to. Check out recruiting tips from Deloitte professionals. at http://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html
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. Certain services may not be available to attest clients under the rules and regulations of public accounting.
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.
Category: Management Consulting
As used in this document, Deloitte means Deloitte LLP and its subsidiaries. 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.