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Scope of Position
This role will be responsible for being the SME for leveraging Azure and other applications to help build out various analytical models for key leaders to make better real-time decisions as trends change. This role will start with known projects & priorities and ultimately transition into a role where top AI opportunities to leverage and drive actionable insights are derived from a collaborative effort between various stakeholders.
Ideal candidate: This person should have proven experience in the ability of taking high-level OKRs (Objectives and Key Results), breaking each down into specific actionable deliverables determining effort and timeline to achieve each objective while not sacrificing overall integrity towards each OKR. To be successful in this role, they will need to be intellectually curious, constantly questioning the way things are done constructively while thriving on change that improves results as our department is tasked with Continuous Improvement.
Overview of Intelligence Department: The Intelligence Department is tasked with the KSI of Continuous Improvement by leveraging both data and analytical tools to provide actionable insights to key stakeholders and steering the Analytical Strategy of the company. It also plays a critical support role to various other departments, working very closely with Technology, Finance, FP&A collaborating & coordinating where required. It also works cross-functionally with other departments as required such as Store Operations, Donations & Logistics, Marketing, People & Culture, Online, Wholesale, and Asset Management. This department currently consists of two main teams: Data & Analytics
Responsibilities
Big projects in the 1st 12 months:
Qualifications
Full Time
Professional Associations
$102k-125k (estimate)
06/26/2024
08/18/2024
peoplesuite.com
MOORESVILLE, NC
<25
2012
GARY PRESTON
<$5M
Professional Associations
Creating long-term value by building exceptional teams, PeopleSuite believes that recruiting is both a science and an art. We are laser-focused on speed, delivery, and detailed requirements, and our seasoned professionals approach every client and candidate with curiosity, creativity and empathy, keeping a thoughtful eye on individual story and cultural fit. We ask the right questions, with the right language. And we embody ownership and authenticity. PeopleSuite understands that the leadership decisions you make today shape your legacy tomorrow. Specialties: Executive Retained Search, Conting...ency Direct Hire, Contract Placement, Assessment, HR Services. Industries: Retail & Merchandising, Manufacturing and Operations, Marketing & Sales, Accounting & Finance, Human Resources, Office Support, Life Sciences and Real Estate & Construction.
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The job skills required for Data Scientist include Data Science, Machine Learning, Python, Insight, Algorithms, SQL, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
12/22/2021: Dallas, TX
Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
02/17/2022: Lompoc, CA
A data scientist develops software to structure the raw data.
02/16/2022: Lansing, MI
Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
02/12/2022: San Diego, CA
Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
02/01/2022: Peoria, IL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
01/31/2022: Passaic, NJ
Data scientists lay a solid foundation to help perform all kinds of analysis.
01/31/2022: Champaign, IL
Data scientists are also expected to have stronger software engineering skills that data analysts.
02/19/2022: Springfield, OR
Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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Step 3: View the best colleges and universities for Data Scientist.