Thank you for your interest in joining our team! Qurate Retail Group comprises six leading retail brands - QVC®, HSN®, Ballard Designs®, Frontgate®, Garnet Hill® and Grandin Road® - all dedicated to providing a more human way to shop. Qurate Retail Group is the largest player in video commerce (\"vCommerce\"), which includes video-driven shopping across linear TV, ecommerce sites, digital streaming and social platforms.
The Opportunity

Reporting to the Manager, Data Scientist, the Sr. Data Scientist takes an active role in advancing the Data Science practice at Qurate, not only by executing some of the most complex and highest-priority modeling and measurement projects, but also by proactively identifying and building support for projects and capabilities that will provide the greatest business impact.

The Sr. Data Scientist is expected to own at least one advanced model from end to end. This means being responsible for researching and developing the analytical approach, engineering input data sets, building, testing and revising models, presenting results to stakeholders, incorporating feedback, and, where applicable, coordinating with Tech teams to promote models to production systems.

As a thought leader, the Sr. Data Scientist makes project and strategy recommendations by synthesizing their deep understanding of business functions and systems with an up-to-date understanding of what is possible in advanced analytics. In order to both gain the requisite business understanding and build consensus, a successful Sr. Data Scientist must develop strong, ongoing, collaborative relationships with stakeholders and business partners. They should feel comfortable representing the team on cross-functional projects, and should demonstrate strong communication and organization/prioritization skills.

Given their subject-matter expertise, the Sr. Data Scientist also performs a critical consulting role on others team members' and business partners' analytics projects, ensuring best practices are in place across the organization.

• This role is hybrid-remote and can be performed in West Chester, PA or St. Petersburg, FL

Who We Are

At Qurate Retail Group, we believe in a Third Way to Shop® - beyond transactional e-commerce or traditional brick-and-mortar stores - for customers who crave engaging shopping experiences. We're a select group of like-minded businesses that provide customers with curated collections of unique products, made personal and relevant by the power of storytelling. We combine the best of retail, media, and social to curate experiences, conversations, and communities for millions of highly discerning shoppers. We bring joy, inspiration, and humanity to shopping.

The Purpose of the Data Science Organization at Qurate is to Transform enterprise commercial and operational decision making by leveraging cutting-edge Data Science and Advanced Analytics as a competitive advantage for QVC, HSN, New Business Ventures (NBV),and Operations BUs. We do this by delivering automated, self-learning decision support systems solutions that provide predictive, optimization, and measurement outputs andrecommendations, that respond to changes in internal and external data and factors, while improving timeliness and accuracy of the decisions, to grow revenue, customer file, and profitability. Our work is mainly project-based and supports a wide variety of business functions, including marketing, ecommerce, broadcast, product, and operations. Example projects include marketing mix optimization, airtime and programming optimization, price elasticity estimation, and personalization, recommendation, and targeting models.

Your Impact

• Construct analytic data sets for exploration, modeling, insight generation
• Conduct in-depth data analysis, data and prepare visualizations summarizing key features of the data
• Develop accurate predictive models for forecasting and inference
• Develop and implement large-scale optimization models to allocate scarce resources (e.g., airtime) given a variety of hard and soft constraints (e.g., availability)
• Develop test designs, hypotheses, success metrics, and test requirements, and execute test analysis
• Identify new opportunities to add business value through advanced analytics
• Collaborate on long-term, cross-functional projects (project management)
• Work with stakeholders to define business questions and success criteria
• Present results and consult the business on next steps
• Conduct change management for new methodologies
• Provide manager / project leader with clear updates on timelines on deliverables
• Work with IT on production processes and data accuracy
• Develop novel techniques or maintain legacy code when needed
• Research best practices, technologies, tools, and trends
• Guide and mentor other analytics team members on areas of expertise (Center of Excellence)

What You Bring

• 5+ years of experience accessing and manipulating data in SQL or NoSQL database environments
• 4+ years of experience with scientific scripting languages (e.g., Python, R, SAS), as well as big data frameworks such as Hadoop MapReduce
• 6+ years of experience of Data Science model development with a combination of Bayesian statistics, regression analysis (beyond linear regression), forecasting/predictive analytics, multivariate testing, supervised learning, unsupervised learning or time-series analysis, implementing large-scale optimization models (mixed integer and linear programming, genetic algorithms) and using optimization packages such as Gurobi, CPlex,or others
• 8+ years of overall analytics experience, can be inclusive of post graduate work; 5+ years of experience in management consulting, strategy, analytics, at a specialized analytics company or in an analytics organization in a corporate setting (e.g. retail or some other B2C e-commerce)
• Experience in data visualization and exploration tools (Tableau preferred)
• Must be able to think conceptually, strategically, and creatively with little oversight or direction (i.e. display thought leadership vs. simply "do" or execute something that was developed or directed by someone else)
• Strong statistical knowledge and knowledge of test design
• Must have experience developing, driving and delivering complex analytical projects
• Bachelors in Business Analytics, Economics, Operations Research, Engineering, Computer Science, Statistics, Mathematics, Econometrics or similarly related analytical field
• Masters in Lieu of 1 year of experience; PhD in Lieu of 3 year of experience
• Demonstrated history of identifying, executing and securing adoption of advanced analytics projects
• Experience leading or representing analytics teams on ongoing cross-functional projects
• Experience with practical machine learning using frameworks such as scikit-learn, H2O, TensorFlow, Caffe, Mllib
• Experience with parallelized programming via Spark, Hadoop, etc.
• Experience with Microsoft Azure, Google BigQuery and/or AWS cloud platforms. Familiarity with Azure and Databricks ideal
• Expertise in various statistical and machine learning methodologies such as regression analysis, cluster analysis, decision trees, factor analysis/principal component analysis, time series, survival models, neural networks
• Strong problem-solving skills and analytical approach to problem solving.
• Experience working with large (5 MM+ records) datasets
• Disposition to simplify: streamline work processes, simply communicate complex statistical concepts
• Initiative, creativity and a passion to deliver results that make a difference to our clients
• Ability to work independently, as well as within a team
• Strong interpersonal, written and communication skills

Remote work is not permitted in NYC

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