Data Scientist

Job Overview:

The Data Scientist develops and executes statistical and mathematical solutions to business problems within the context of moderately 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 medium-sized projects or parts of larger-sized projects that support business decision making for one or more business functions. Performs other duties as assigned.

Essential Functions:

• 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 to advanced 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.
• Interface closely with business teams to understand/define key challenges, data requirements, and domain knowledge/models.
• Helps other team members in own areas of expertise.
• Consistently demonstrates regular, dependable attendance & punctuality.

Qualifications:

Education/Experience:

• Bachelor’s Degree in Applied Statistics/Mathematics/Economics and Operations Research or Computer Science and 4 or more years of related work experience (Master’s Degree preferred)
• 2 -3 years of experience in advanced 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
• Proficiency dealing with extraction and manipulation of relational databases (SQL)
• Programming and analytical experience in major analytics software packages (SAS, R, Python, SPSS, Matlab, Perl, Linear, etc)
• Experience in programming/developing models with contextual data (More Data) and be familiar with different Machine Learning algorithms
• Programming experience in Python, knowledge of Neural networks, Bayesian, Random Forest, K-means clustering, Median Absolute Deviation (MAD), worked on outlier detection models and Predictive Modeling
• Experience with unstructured data sets, cloud based architectures, and deployment frameworks for machine learning algorithms (e.g. Hadoop, Hive, Hbase, Mahout, etc.)

Decision Making:

• Work on diverse issues where analysis of situations or data requires an in-depth evaluation of variable factors
• Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results

Communication Skills:

• Excellent written and verbal communication skills
• Ability to read, write, and interpret business and technical documents
• Ability to communicate complex information

Mathematical Skills:

• Statistics knowledge, including experience with application of statistic to predictive analytics, probabilistic modeling, and unstructured text analysis

Reasoning Ability:

• Works independently with regular supervision
• Projects are short-term and moderate in scope and level of complexity

Physical Demands:

• This position involves regular ambulating, sitting, hearing, and talking
• May occasionally involve stooping, kneeling, or crouching
• May involve close vision, color vision, depth perception, and focus adjustment
• Involve use of hands and fingers for typing on keyboard and using a mouse
• May be a need to move or lift items under 10 pounds

Other Skills:

• Ability to take initiative and deliver tangible results under deadlines
• Flexibility to work across all functions/levels as part of a dynamic team
• Strong attention to detail when identifying data relationships, trends, and anomalies
• Ability to generate quick, iterative solutions to a business problem

Work Hours:

• Ability to work a flexible schedule based on department and company needs

Company Profile:

Macy’s Inc. is one of the nation’s premier retailers. With fiscal 2016 sales of $25.778 billion and approximately 140,000 employees, the company operates more than 700 department stores under the nameplates Macy’s and Bloomingdale’s, and approximately 125 specialty stores that include Bloomingdale’s The Outlet, Bluemercury and Macy’s Backstage. Macy’s, Inc. operates stores in 45 states, the District of Columbia, Guam and Puerto Rico, as well as macys.com, bloomingdales.com and bluemercury.com. Bloomingdale’s stores in Dubai and Kuwait are operated by Al Tayer Group LLC under license agreements. Macy’s, Inc. has corporate offices in Cincinnati, Ohio and New York, New York.

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.