Senior Data Scientist, NLP - Hux
New York, NY

Job Description

Senior Data Scientist- Hux

Locations: Denver, CO | Chicago, IL | Greensboro, NC | Seattle, WA | New York, NY

At Deloitte Digital Marketing & Experience Services, we help marketers optimize their customer experience to win in the marketplace. We're combining data, decisioning and real-time delivery to build and manage customer data ecosystems that enable our clients to acquire, engage and retain customers in a dramatically different and improved manner. With customer data as a foundation, we help clients deliver dynamic, personalized customer experiences across all engagement channels using machine learning and artificial intelligence.

What is HUX? HUX is the Human Experience Platform by Deloitte Digital.

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.

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.

Learn more about the Hux practice here.

What you'll do

As the Hux Senior Data Scientist, you will be responsible for creating value from the data running through our buy side ad platform. You are an experienced Data Scientist in

advertising media (programmatic) who excels at employing machine learning and complex data analytics to take our ground-breaking patent technologies to new levels.

They told us that what we accomplished could not be done. You will work collaboratively with a tightly focused team of experienced and passionate engineers, and your ingenuity and skill will help us break even more rules.

Well versed in a variety of theory and techniques in machine learning and data mining such as:

* Supervised and unsupervised clustering, regression and classification, including

Bayesian methods, parameter estimation, support vector machines, neural

networks, decision trees

* Mathematical Optimization, such as linear, quadratic and semi-definite

programming, Markov Chain Monte Carlo and Variational Methods

* Computational Linguistics
* Proficient in Python including NumPy, SciPy, scikit-learn and other packages that

enable data science and machine learning at scale

* MapReduce concepts and distributed computations.

Qualifications

Required:

* A Master's or PhD in a quantitative field (engineering, mathematics, physics, machine learning, statistics or computer science) are the ideal candidates
* Limited immigration sponsorship may be available.

Preferred:

* 6+ years in machine learning and big data science
* 2+ years in AdTech

Part of team that has worked on:

* Architecture for scale in real-time environments
* Distributed, high-transaction database architecture (SQL and NoSQL)
* Machine learning and Big Data concepts and practices
* Architecture for high volume in-memory search
* Multi-processing and distributed computation
* Python, MongoDB, Linux, and AWS, NLP

Understanding of:

* Data management, identity resolution, ad servers, buying platforms, yield

management, attribution, performance measurement

The team

In Hux, we develop traditional, digital and social content for a wide array of consumer and B2B brands at the leading edge of today's client marketing challenges. You'll work with kind, smart, hardworking people (if we do say so ourselves) who care about the work we create. Learn more about the Hux practice here.

How you'll grow

At Hux, we focus on helping people at every level of their career identify and use their strengths to do their best work every day. From entry-level to senior leadership, we believe there's always room to grow. We offer opportunities to help sharpen skills, and work alongside industry-leading talent on a daily basis.

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.

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

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.

Deloitte will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance where applicable. See notices of various ban-the-box laws where available. https://www2.deloitte.com/us/en/pages/careers/articles/ban-the-box-notices.html

Requisition code: E20NATCSSMCG001-CM

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