Sr. Customer Data Scientist
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Description The Senior Customer Data Scientist will lead the development, testing, and implementation of statistically sound customer models and other deep-dive analytical projects that directly grow both top and bottom line for DSW. This individual will also be responsible for accelerating personalized initiatives for DSW's customers. The role will synthesize business data into powerful models and insights to drive decisions which propel the business forward. This is a senior role within the digital department and the individual stepping into the role is expected to independently lead projects without supervision, identify data sources and their location, develop insights, and influence senior leaders.Essential Duties and Responsibilities:• Proactively identifies business opportunities and leads the development of machine learning models and other statistics-based analytics• Develops software programs, algorithms, and other mathematical approaches to capture new opportunities and solve business problems• Uses text data (reviews, surveys, IoT) to build customer sentiment machine learning models that enhance the customer experience at all touch-points• Develops personalized affinity models on product, brand, category, channel, etc. to drive recommended content and channel communications to the customer• Influences the business in its decision making process by leading deep-dive analytics projects that uncover key insights of customers and unlocking competitive advantages• Collaborates directly with key business partners and leaders to solve business problems or knowledge gaps and identify analytical opportunities to drive innovative decision making• Extracts key insights from analytical projects into a format easily understood by business partners and leaders, both technical and non-technical; presents insights and recommendations to senior leadership• Accesses, combines, aggregates, and cleans data sets from multiple key sources (RDBMS, Big Data Storage, Web, etc.) using a variety of programming languages, for use in analytical projects• Leads the businesses understanding of current and emerging techniques in analytics (machine learning, deep learning, AI) and applies them to solve day to day business challenges (daily demand forecast, pattern of redemption, propensity modeling, etc.)• Understands the broader Marketing and Retail landscapes to proactively identify analytical opportunities to impact the business• Applies the Scientific Method (design of experiments) to all analytical projects• Participates in peer review process to ensure accuracy and data integrity are present at levels of analytical projects• Mentor and foster growth and development among team members through one-on-one and group training sessions, and encouraging creative and mathematically rigorous solutions to business problemsExperience:• 5+ years of analytical and database experience• Experience developing machine learning and statistical models from end to end as a full stack developer• Experience with R or Python for statistical modeling and other machine learning applications• Experience with SQL and NoSQL database environments and is adept at aggregating and combining large, complex data sets• Proven track record of various machine learning techniques to cr Requirements Azure SQL Database, BigSQL, Microsoft SQL, Microsoft SQL Server Database, MySQL Database, NoSQL, BigQuery, Google Compute Engine, TensorFlow, iPython, Python, PHP Python, Tableau, Tableau Desktop, Tableau Server Technology Doesn't Change the World, People Do.®Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.Robert Half puts you in the best position to succeed by advocating on your behalf and promoting you to employers. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - even on the go. Download the Robert Half app and get 1-tap apply, instant notifications for AI-matched jobs, and more.Questions? Call your local office at Robert Half will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. All applicants applying for U.S. job openings must be authorized to work in the United States. Benefits are available to temporary professionals. Visit https://roberthalf.gobenefits.net/ for more information.© 2022 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use.