Data Scientist, Forecasting and Planning (macys.com) - Full-time / Part-time

Job Overview:

As a Data Scientist on the Decision Sciences, Forecasting and Planning team, you will work with a world-class multidisciplinary team to deploy scalable predictive modeling, media mix models, time series analyses, forecasting models, data mining algorithms, and A/B testing capabilities, as well as extract/transform Big Data. Familiarity with large data sets is desirable.

There will be collaboration with both internal clients and technology partners. You need to be able to multi-task through stages of multiple projects and be able to deliver quality insights and impactful recommendations on a regular basis to drive business decisions and business growth.

Performs other duties as assigned.

Essential Functions:

• Deploy predictive modeling algorithms/solutions to measure the incremental impact of online marketing tactics on web traffic and sales.
• Build time series models to forecast future daily sales.
• Research, develop and implement media mix models.
• Understand the traditional sources of media (TV, Radio, Print, etc.) and digital tactics, and measure their impact on future MCOM sales.
• Implement mixed (random effects) modeling to build DMA level forecasting models and media mix models.
• Conduct A/B tests and designing and analyzing experiments to measure and validate the effects of key marketing channels.
• Define data needs, evaluate data quality, and extract/transform data for analytic projects and research.
• Interface closely with Marketing Systems and Operations to understand/define requirements, domain knowledge/models, and data needs.
• Effectively communicate and document technical analyses and results.
• Ensure analyses and solutions drive business decisions.
• Act as business partner to facilitate testing and implementation of models and algorithms.
• Conceptualize problems, apply appropriate theory, explore approaches, simulate, and implement.
• Regular, dependable attendance & punctuality.

Qualifications:

Education/Experience:

• Graduate degree in Applied Statistics, Econometrics, Operations Research, or Applied Mathematics with at least two-three years’ experience preferred.
• Experience in building regression models.
• Strong programming and analytical skills in major analytics software packages (e.g. SAS, R, Stata, TreeNet, or Enterprise Miner).
• Expertise in data extraction & transformation, relational databases & SQL.
• Preferred, but not required, to have experience in building time series forecasting models, Big Data sets, cloud based architectures, and deployment frameworks for machine learning algorithms (e.g. Hadoop, Hive, Hbase, Mahout, etc.).
• Experience in conducting A/B tests and designing and analyzing experiments is preferred, but not required.
learning algorithms (e.g. Hadoop, Hive, Hbase, Mahout, etc.).

Communication Skills:

• Excellent customer focus, with excellent written and verbal communication skills.

Reasoning Ability:

• Ability to apply theoretical or experiential knowledge on predictive modeling, regression analyses, forecasting methods, machine learning to solve large scale retail problems, to research and create cutting edge solutions.
• Strong attention to detail to identify data relationships, trends, and anomalies.

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.
• Involves 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.
• Ability to work independently with minimal direction and familiarity with data mining analysis processes.
Flexibility of working across all functions/levels as part of a team.

Work Hours:

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

Company Profile:

As the fastest growing part of Macy's Inc. business, macys.com is achieving record sales and broadening our workforce. With offices in New York and San Francisco, macys.com is the best of all worlds. The entrepreneurial thinking of a Web business complements the stability and support of a national brand. Creativity and ingenuity partner with business acumen and tech savvy to build a unique business poised for continued growth. Employees at macys.com have long term opportunities and are encouraged to utilize their Supervisors and Human Resources for cross-functional movement to further their careers. At macys.com we are committed to giving back to the community by partnering with local charitable organizations. By skillfully combining the power of the Internet with the best in retailing, macys.com is reaching new heights.


This job overview is not all inclusive. In addition, Macy’s, Inc. reserves the right to amend this job overview at any time. Macy’s is an Equal Opportunity Employer, committed to a diverse and inclusive work environment. Macy’s, Inc. – including Macy’s and Bloomingdale’s – will consider for employment qualified applicants with criminal convictions in a manner consistent with SFPC Art. 49 and LA MC ch.XVIII Art. 9 .