Senior Data Scientist - NLP

Senior Data Scientist - NLP

Location: Remote

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.

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.

Work you'll do

As a Senior Data Scientist specializing in Natural Language Processing you will be tasked with solving NLP problems end to end. This means:

• Having and growing an understanding of the problem spaceand its applications to helping brands provide better experiences for their customers, and get more business value by doing so
• Performing passive interpretation of text as well as meta-tagging with descriptors that can be used in downstream models
• Being able to quickly iterate over common feature transformation and model types to find the best predictive models
• Implementing generative systems that can create new text content
• Developing conversational AI solutions such as chat-bots, call center prompts etc.
• Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood by stakeholders

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.

The team

Advertising, Marketing & Commerce

Our Advertising, Marketing & Commerce team focuses on delivering marketing and growth objectives aligned with our clients' brand values for measurable business growth. We do this by creating content, communications, and experiences that engage and inspire their customers to act. We implement and operate the technology platforms that enable personalized content, commerce and marketing user-centric experiences. In doing so, we transform our clients marketing and engagement operations into modern, data-driven, creatively focused organizations. Our team brings deep experience in creative and digital marketing capabilities, many from our Digital Studios.

We serve our clients through the following types of work:

• Cross-channel customer engagement strategy, design and development
• (web, mobile, social, physical)
• eCommerce strategy, implementation and operations
• Marketing Content and digital asset management solutions
• Marketing Technology and Advertising Technology solutions
• Marketing analytics implementation and operations
• Advertising campaign ideation, development and execution
• Acquisition and engagement campaign ideation, development and execution
• Agile based, design-thinking, user-centric, empirical projects that accelerate results

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 Masters' should also have a quantitative Bachelor's degree
• At least 5+ years of industry experience outside of academia
• Excellent hands-on knowledge of NLP modeling libraries and APIs.
• Experience manipulating big data using opensource frameworks. This means being familiar with tools such as Spark and Kubeflow. In addition, because we handle very large volumes of data past work with cloud-based environment is required.
• Be able to write high quality Python code. This means being familiar with unit testing, source control and code review
• Limited immigration sponsorship may be available.

Preferred:

• Good problem decomposition skills and autonomy when faced with solving data problems
• Experience with large data sets generated in the Natural Language Processing space
• 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

Things that would help you stand out:

• 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-source projects.
• 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

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