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Deloitte Senior Data Scientist - Hux in Denver, Colorado

Senior Data Scientist - Hux

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 touchpoint.

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.

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

Required:

  • A Master s or PhD in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates. Those with Master s should also have a quantitative Bachelor s degree.

  • 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 with Master 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 to best craft your message and selecting the right visualizations

  • Willingness to travel up to 30%

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://zoomforth.com/s/deloitte/du#home

Benefits

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

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.

Corporate citizenship

Deloitte is led by a purpose: to make an impact that matters. This 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

Recruiter tips

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

Category: Management Consulting

About Deloitte

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.

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