Data Scientist

Overview:

• The Associate Data Scientist develops and executes statistical and mathematical solutions to business problems within the context of well-defined procedures.
• Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions to optimize the customer experience across all touch points. Assigned smaller projects that support business decision making for one or more business functions.
• Performs other duties as assigned.
• Develops and codes software programs, algorithms, mathematical approaches and automated processes to solve business problems.
• Uses analytical rigor and statistical methods, machine learning, programming, data modeling, simulation and advanced mathematics to analyze large amounts of data, recognizing patterns, identifying opportunities, posing business questions and making valuable discoveries.
• Researches new ways for modeling and predictive behavior. Generate and test hypotheses, designing experiments to answer targeted questions of moderate complexity.
• Define data needs, evaluate data quality, and extract/manipulate data in a “Big Data” environment. Documents projects including business objective, data gathering and processes, leading approaches, final algorithm, detailed set of results and analytical metrics. Interprets and communicates insights and findings. Consistently demonstrates regular, dependable attendance & punctuality.

Qualifications:

• Bachelor's Degree in Applied Statistics/Mathematics/Economics and Operations Research or Computer Science and less than 2 years related experience (Master's Degree preferred).
• Excellent written and verbal communication skills. Ability to read, write, and interpret business and technical documents. Ability to communicate complex information.
• Statistical knowledge, including experience with application of statistic to predictive analytics, probabilistic modeling, and unstructured text analysis.
• Receives general supervision under well-defined procedures. Project are smaller in scope and moderate in complexity.

Skills Summary:

• Statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis, and data mining.
• Experience working with large datasets in a 'Big Data' environment, preferably in retail/e-commerce or other customer facing industry. Experience with extraction and manipulation of relational databases (SQL).
• Programming and analytical experience in major analytics software packages (SAS, R, Python, SPSS, Matlab, Pearl, Linear, etc).
• Programming experience in Python, knowledge of Neural networks, Bayesian, Random Forest etc. ?
• Strong attention to detail when identifying data relationships, trends, and anomalies.
• Ability to generate quick, iterative solutions to a business problems, from online marketing to merchandising.
• Exposure to unstructured data sets, cloud based architectures, and deployment frameworks for machine learning algorithms (e.g. Hadoop, Hive, Hbase, Mahout, etc.).
• Ability to take initiative and deliver tangible results under deadlines. Flexibility to work across all functions/levels as part of a dynamic team.

Work Hours: Ability to work a flexible schedule based on department and company needs.


Decision Making: Determine tools, techniques and makes recommendation based on data interpretation. Exercises judgment within defined procedures and practices to determine appropriate action.

Macy's Systems & Technology (MST) is the information technology division of Macy's Inc. Macy's Inc. is the nation's largest operator of department stores with over 800 department store locations in 46 states. In addition, we operate major catalog and internet operations for Bloomingdale's and Macy's. Macy's Systems & Technology is headquartered in Johns Creek, a suburban setting northeast of Atlanta, Georgia.

We offer competitive salaries, comprehensive benefits and a merchandise discount.

This job description is not all inclusive. Macy’s Inc. reserves the right to amend this job description at any time. Macy's Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.