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Lead Data Scientist, Marketing Analytics

Company: Hudson's Bay Company
Location: New York
Posted on: May 6, 2021

Job Description:

job description What This Position is All About: The Lead Data Scientist, Marketing Analytics will directly serve internal Marketing/Media leads and support the director to guide strategic conversations around Personalization, CRM, Targeting, Promotion and Marketing Effectiveness and Optimizations. This role will oversee multiple analytic functions including Personalization, CRM and Data Science catered to a variety of use cases. The Senior Analyst will focus on providing best in-class support to marketing teams in executing personalized targeted marketing across Email, Direct Mail, Acquisition Media and Mobile by managing priorities through effective communication and business benefit estimation. The Data Science function will focus on building new techniques and the use of Machine Learning / Artificial Intelligence (ML/AI) to add additional tools for Marketing Analytics to drive customer-facing outcomes. Who Are You: * Calm and comfortable in ever-changing environment; results-driven with an ability to effectively multi-task in a fast-paced environment * Self-driven, curiosity and initiative, building and enriching new, rapidly growing tools & insights * Inquisitive thinker, with the ability to continuously iterate to drive efficiencies in processes and effective in collaboration across cross functional teams * Have a deep understanding of very large data sources and industry best practice research methods and applied statistics, including sampling approaches, causal modeling, time series analysis, and data mining techniques in collecting and predicting consumer sentiment, behavior and feedback You Also Have: * Experience with SQL, Python, R, SAS as well as sound understanding of enabling marketing programs through advanced analytics, data science and business rules. * Proficiency with command-line statistical analysis software (e.g. SAS or R) or with a high-level programming language (e.g. C++, Java, Python, SQL, VB, etc), including familiarity with databases, website and app tagging, data maintenance, cleaning; knowledge of web analytics packages (e.g. Omniture, Coremetrics or Google Analytics) * Business Acumen- should be comfortable with '80-20' output to drive meaningful, actionable business results. * Bachelor's degree in Computer Science, Statistics, Decision Science, Applied Math, or other quantitative field. * 3+ years in Data Science or Advanced Analytics via predictive or explanatory models and/or experimentation processes. * Preferred experience includes collecting and analyzing data and driving insights to understand and shape customer experiences, lifetime value, segmentation, digital marketing, ecommerce or other business outcomes * Ability to synthesize sophisticated analytics topics, translate them into relevant conclusions/deliverables, and develop and deliver meaningful presentations, visualizations, and infographics * Core mathematical ability to understand, utilize and innovate on state-of-the-art machine learning algorithms and/or statistical modeling * Demonstrated strong technical, analytical skill set to work with analytics toolkit (R, Python, Spark, SQL, Hadoop, Amazon Web Services (AWS), Tableau, scheduling tools) on large data sets. * Experience working in a production environment with large data sets and tools including cloud architecture, version control, etc. As Lead Data Scientist, Marketing Analytics, you will: * Be responsible for idea generation and roadmap management * Play a key role in building out the Tech-Analytics roadmap as it relates to Data Engineering pipelines, new data exploration needed and operationalizing customer facing marketing programs and creating longitudinal behavior data stores for customers. * Act as the analytic expert behind Saks OFF 5TH's omni channel data architecture & CDAP/CRM investigations and initiatives, playing a key role in targeted marketing and personalization performance measurement and key enabler of personalization * Be responsible for working cross-functionally and at all levels to incorporate best practices into marketing analytic process and practice across brands, and working with the broader analytics team, agencies and vendors * Liase with Data Engineering and peer-Analytics teams to manage the collection and organization of customer/product analytics data for data science, management of model-ready variables, governance over effective cross-analytics collaboration and participate in personalization discussions to solution or scope the ask to Tech teams. Your Life and Career at Saks OFF 5TH: * Be part of an empowered, innovative team; work with an adventurous spirit and a customer-centric mindset; play a critical role in making decisions that will position us to win * Exposure to rewarding career advancement opportunities across different functions within our corporate offices, retail stores, photo studios, and distribution centers * A culture that promotes a flexible work environment * Benefits package for all eligible full-time employees (including medical, dental and vision) * An amazing employee discount and other exciting perks Thank you for your interest with Saks OFF 5TH. We look forward to reviewing your application. Saks OFF 5TH provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Saks OFF 5TH complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Saks OFF 5TH welcomes all applicants for this position. Should you be individually selected to participate in an assessment or selection process, accommodations are available upon request in relation to the materials or processes to be used.

Keywords: Hudson's Bay Company, New York , Lead Data Scientist, Marketing Analytics, Advertising , New York, New York

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