Deloitte Data Scientist in Denver, Colorado
Location: Denver, Seattle, San Francisco, Los Angeles
Do you enjoy exploring datasets? Are you passionate about helping people make sense of terabytes of data? If so, Hux 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.
At Hux, 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:
Having and growing 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
Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models
Being able to interpret the models that are being generated
Developing proofs of concept to verify your ideas
Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients
Working closely with clients throughout
Because this is a senior role, we are looking for candidates that can carry out research in an autonomous fashion, and who can interact closely with clients with varying levels of machine learning experience.
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.
At least 3 years of industry experience outside of academia.
Limited immigration sponsorship may be available.
What you will need to be successful:
Good problem decomposition skills and autonomy when faced with solving data problems.
A Master s or PhD in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. Those withMaster s should also have a quantitative Bachelor s degree.
At least 3 years of industry experience outside of academia.
Experience manipulating large marketing data sets and performing ETL (in SQL).
Excellent hands-on knowledge of modeling approaches such as Boosted Trees and Logistic regression.
Experience with large data sets generated in the Ad Tech or Marketing technology spaces.
Demonstrated communication capabilities. We ask that you be able to explain your insights to people beyond the data science team. This means knowing how tobest craft your message and selecting the right visualizations
Willingness to travel up to 75%
Things that would help you stand out:
Experience with end-to-end Data Science solutions such as H2O Driverless or Data Robot.
Be able to write Python code
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
An appreciation of how, when and where data science methods are most likely to lead to valuable commercial outcomes for specific large enterprises
If you have code in the open domain (for example GitHub) or have written about AI/DS please share this with us
Experience with Deep Learning architectures and/or Reinforcement Learning
How you ll grow
At Deloitte, 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 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. Explore Deloitte University, The Leadership Center. at https://deloitte.zoomforth.com/du
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 https://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html
Deloitte s culture
Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte.
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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. Check out recruiting tips from Deloitte professionals to help you prepare. at https://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html
Category: Management Consulting
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