Senior, Data Scientist (Remote Opportunity)

Bloomingdale's; United States; Remote; USD 126,000 - 210,000; Full time

Job summary

Bloomingdale’s is seeking a Data Scientist to join its Data Analytics group. The successful candidate will utilize their expertise to develop analytical strategies aimed at enhancing marketing, loyalty, and promotion efforts. You will collaborate closely with various teams to create impactful visualizations that inform business decisions, ensuring a data-driven approach in a diverse work environment.

Benefits

401k

Medical/vision/dental/life/disability insurance options

PTO accruals

Holidays

Performance-based incentives/bonuses

Qualifications

• 3-5 years direct experience in data science or a related field.
• Expert knowledge of analytical tools and scripting languages.
• Excellent communication and leadership skills.

Responsibilities

• Develop innovative analytical approaches to customer and marketing strategies.
• Use statistical and machine learning techniques to answer complex business questions.
• Create interactive visualizations to enhance decision-making capabilities.

Skills

Statistical techniques

Machine learning

Data visualization

SQL

SAS

R

Python

Education

Master's Degree

M.S. or Ph.D. in Statistics, Computer Science, Engineering, or Economics

Tools

Hadoop

Map/Reduce

Hive

Power BI

Tableau

STATA

Matlab

SPARK

Job description

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This range is provided by Bloomingdale's. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$126,000.00/yr - $209,880.00/yr

About

Bloomingdale’s makes fashion personal and fun, aspirational yet approachable. Our mission is to guide and inspire our customers to make style a source of creative energy in their lives. We will always strive to make Bloomingdale’s like no other store in the world. Across all brand touchpoints—from Bloomingdales.com to our newest small store concept, Bloomie’s—everyone plays a critical role bringing our mission to life. Our inclusive culture promotes diversity of background, thought and opinion. Regardless of position, we believe all colleagues have a voice and access to share their thoughts with every level of leadership. Our colleagues are passionate, driven, entrepreneurial and collaborative, while having a lot of fun along the way.

Job Overview

The Data Scientist is a part of the Data Analytics group. The Data Scientist will develop innovative analytical approaches to customer, loyalty, promotion, and marketing strategies. The Data Scientist will create practical methods to forecast demand, understand customer preferences, simulate business outcomes, and optimize major investments. The Data Scientist will work closely with cross functional groups to enhance analytical capabilities, identify new growth opportunities, and develop persuasive interactive visualizations.

Essential Functions

• Answer complex business questions by using appropriate statistical or machine learning techniques on available data, or designing and running experiments to gather data
• Develop novel applications of simulation, optimization, summarization, and machine learning techniques for classification and forecasting
• Work closely with cross functional teams to encourage best practices for experimental design and data analysis
• Create compelling interactive visualizations and presentations to enhance decision making capabilities throughout the company
• Perform other duties as assigned
  
  

Qualifications And Competencies

• Education/Experience:
• Master's Degree
• 3-5 years direct experience
• M.S. or Ph.D. in relevant technical fields such as Statistics, Computer Science, Engineering, or Economics
• Communication Skills:
• Practices open and continuous communication, values keeping others informed, effectively presenting information in a clear, concise manner
• Excellent leadership, facilitation, and interpersonal skills, with the ability to work across functional lines and at many levels
• Technical Skills:
• Expert knowledge of analytical tools such as SAS, R, SPARK, Matlab, or STATA and scripting languages such as Python, Perl, or PHP. Expert knowledge in relational databases and SQL
• Experience with large data sets and distributed computing tools such as Hadoop, Map/Reduce, Hive, H2O
• Familiarity with visualization tools such as Tableau, Power BI or Spotfire
• Other Skills:
• Ability to think creatively, strategically and technically
• Ability to work a flexible schedule based on department and Company needs
• Physical Requirements:
• Requires prolonged periods of sitting, with occasional standing. Occasionally requires walking, bending, reaching, hearing and talking. Continuous use of computers and other office equipment
  

This job description is not all inclusive; additionally, Macy’s, Inc. reserves the right to amend this job description at any time. Macy’s, Inc.: including Macy’s, Bloomingdale’s, and Bluemercury: is an equal opportunity employer, committed to a diverse and inclusive work environment.

This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Additional benefit details are available at bloomingdalesJOBS.com.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Retail Apparel and Fashion, IT Services and IT Consulting, and Retail

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