Senior Analyst, Data Science
The Senior Analyst, Data Science will support efforts to execute company-wide strategy for data and analytics. He/she will define processes, techniques and technology to extract, manage, and analyze data in a scalable way, and to make use of this data to improve Catalina’s capabilities to deliver personalized digital media. He/she will work closely with a small team within the Analytics Department, and also will have direct communication with Analytics leadership to execute key strategies. The data scientist Senior Analyst should also be aware of data analysis and predictive modeling best practices and drive innovation in these areas within Catalina. Key areas of expertise will include big data, statistics, recommender systems, and machine learning implementation.
Job Responsibilities: MANAGING WORK: Understands scope, priority and timelines of assigned workManages own workload to deliver quality deliverables that meet requirementsCommunicates to supervisor status of assignmentsNotifies supervisor of issues that impact productivity or ability to meet expectationsFollows standards/uses standard toolsetsIdentifies opportunities to improve existing conditions and processesCreative in problem solving Does not miss important itemsDoes not need to be told the same thing multiple timesChecks work in to central repositoriesADDITIONAL RESPONSIBILITIES: Help build machine learning models (including predictive models and recommender systems), mine data to detect for patterns, opportunities and insights using appropriate suite of software with a data product as the end goal.Oversee the continued development of the analytic capabilities within the Network, identify opportunities to improve the processes and streamline activities.Clearly communicate and summarize findings for the team to help develop better products.Participate in the development and testing process of future products Your Qualifications: EDUCATION: Bachelor's Degree in Business, Statistics, Math, Finance, Economics, Market Research or other quantitative oriented fields (Decision Sciences, etc.)EXPERIENCE: 2-5 years working in a data analysis environment, market research, promotion/advertising. Experience in syndicated research &/or consumer packaged goods preferredSPECIAL SKILLS: Experience building machine learning models in h2o, R, Python or SAS, including linear / logistic regression, tree-based models and SVMs.Ability to extract, transform and clean data sets from multiple sources.Experience designing and analyzing experiments to measure the impact of marketing campaigns. This includes sampling techniques and testing for statistical significance.Advanced knowledge of SQLFamiliarity managing, querying and aggregating large data in a Hadoop environment.Experience with web analytics, online recommendation systems, reinforcement learning and multivariate testing preferred.Market Research, Retail / Grocery marketing and CPG experience a plusCore Competencies: CUSTOMER FOCUS: Maintains strong relationships with customersUnderstands and strives to meet customer needsExcellent communication skillsTEAM ORIENTATION: Works well othersLEADERSHIP: Maintains a positive attitudeAsks questionsUnderstands what is being asked of youIs accountable for everything doneDisplays persistence until goals are metApplies problem solving skills to overcome obstaclesAttempts to solve problems, yet asks for help before productivity is impactedAdapts to given situationsUnderstands and works effectively with ambiguityNegotiates complex situations with various stakeholdersCOMMUNICATION SKILLS: Excellent verbal and written communication skillsStrong listening skillsWritten communications are succinct, clear and completePERSONAL QUALITIES: Displays professionalism, honesty, integrity, self-confidence, maturity, respect and convictionMaintains a positive attitudeSELF DEVELOPMENT: Accepts and addresses constructive feedback Pursues practices to improve knowledge and skills Keeps skills updated and asks for coaching or formal training, if necessaryABOUT CATALINA: For 30 years, Catalina has influenced the preferences, purchases and behavior of consumers by delivering the right message to the right audience in the right environment. We help the world’s leading CPG brands and retailers drive lift and loyalty by personalizing the consumer’s path to purchase through mobile, online and in-store networks powered by the largest shopper history database in the world.Mobile – Catalina’s personalized mobile display and video network reaches 70 million households. Each month, our mobile commerce network influences 1 million shoppers, driving more than $1 billion in annual purchases.Online – Our personalized online display and video network reaches 50 million households and our affiliate network of private-labeled sites reaches 12 million shoppers.In-Store – Each month, Catalina’s in-store media network influences 280 million shoppers in the United States and millions more through an expanding global network.Catalina is based in St. Petersburg, FL, with operations in the United States, Europe, and Japan.Follow us on Twitter @catalina.The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform other job-related tasks other than those specifically presented in this description. All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. We are proud to be an EEO employer M/F/D/V.
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