Sr. Decision Science Analyst (Remote)

Sr. Decision Science Analyst is is reporting to the Director of Customer Analytics and is responsible for developing and implementing processes to support the Marketing Effectiveness pillar.
In this role candidate will design and analyze marketing tests to ensure test objectives are measured successfully and align to company priorities as well as be the company expert in the company's Marketing Mix Model (MMM). The person in this role must possess strong data analytical skills and technical skills used in data analysis.
Analytics & Data engineering:
• Automating reports, dashboards, and other performance tools
• Data engineering/mining (collecting, transforming, cleansing and analyzing)
• Providing valuable business analytics and insights out of data samples thru hypothesis testing
• Utilizing different databases and connections and 3rd party data sets to enhance analytics scope
• Providing ad-hoc analysis and presenting results in a clear manner
• Ability to engage with Senior Leaders to understand business objectives and translate them into analytical problems
Experimental Design:
• Experience in experimental design, power analysis, ANOVA, and ANCOVA
• Applying statistical methods and building machine learning (such as k-NN, Naive Bayes, SVM, Decision Forests)
• Using query languages such as SQL
• Utilizing data science toolkits such as R, Alteryx, and Python (excellence in at least one of these)
• Maintaining expert-level knowledge on data science trends, technologies, and methodologies
• Leading in defining the project methodologies and approach
Other skills:
• Data affinity with attention to detail
• Solution and problem-solving oriented
• Strong Communication Skills (ability to communicate complex data in a simple way)
• Strong Presentation Skills and Technical Writing Skills
• Ability to work within a diverse background team or independently
• Able to quickly interpret the data and transition it into tangible business recommendation
Education / Experience Requirements:
Intermediate Level
Minimum Education & Experience:
• Bachelor's degree in data science, statistics, computer science, business or related field, required
• Proven success in using data-driven analysis to assess opportunities and drive results
Preferred Education & Experience:
• Master's degree in data science, statistics, computer science or related field preferred
• Prior Retail Experience with min 3 years in Customer Analytics or Marketing preferred
• PhD in data science, statistics, computer science or related field welcome
Knowledge / Skills Requirements:
• Strong analytical and data wrangling skills allowing to move quickly through large volumes of data
• Aggressive in pursuing opportunities and focused on providing technical and analytical business solutions to drive store level results
• Creative thinker focused of problem solving, finding efficiencies and streamlining processes
• Strong communicator with ability to work in group environment
• Flexible and adaptable, team-player able to work in a dynamic group environment
• Passionate for coaching and development of talent
• Ability to manage time and workload effectively with flexibility to shift focus/priorities at a moment's notice
• An ability to influence cross-functionally across a wide range of business areas and levels
• Excellent written and verbal communication skills
Physical Requirements:
• Remote Work Frequency Quarterly
Reporting Relationships:
Supervisor :
Director Customer Analytics
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We are an Equal Opportunity Employer:
We treat all our associates and candidates as equals. We require all associates and managers to do so too and comply with employment laws and regulations. All personnel actions are conducted in the spirit of equal employment. We are committed to recruit, train, promote and retain associates without regard to race, color, religion, gender, gender identification and expression, national origin, marital status, age, disability, genetic information, military status, sexual orientation or any other characteristic protected by applicable local, state or federal laws.