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A00 Premium Brands Services LLC
ascena, OH | Full Time
$113k-138k (estimate)
6 Months Ago
Data Scientist
$113k-138k (estimate)
Full Time 6 Months Ago
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A00 Premium Brands Services LLC is Hiring a Remote Data Scientist

Brand Overview: ascena is a leading national specialty retailer offering apparel, shoes, and accessories for women through our brands Ann Taylor, LOFT, and Lou & Grey, Lane Bryant and Cacique. We operate ecommerce websites and over 1200 stores throughout the United States. Ready to apply? We currently have an opportunity for a Data Scientist to join our team located at our Corp Remote Locations-ascena-Pataskala, OH 43062. Position Overview: At ascena, we believe how you do your job is just as important as what you accomplish. We're committed to fostering a community where all Associates lead with their strengths, feel connected to what we stand for, are accountable to growing our culture together, and are supported in their individual development. So, if you love fashion and data science and want to be a part of a healthy, thriving, and inclusive brand, then ascena is the place for you. You're invited to discover the unparalleled opportunities that await you. ascena is a leading national specialty retailer offering apparel, shoes, and accessories for women through our brands Ann Taylor, LOFT, and Lou & Grey, Lane Bryant and Cacique. We operate ecommerce websites and over 1,200 stores throughout the United States. For more information visit: annTaylor.com, LOFT.com, and lanebryant.com. Reports To: AVP, Advanced Analytics Location: This role is based at one of our corporate locations in NY, NJ, OH or MN; remote alternatives in the same geographic region may be considered if consistent with business needs. Overview: ascena’s Advanced Analytics group is seeking an exceptional, highly-motivated and self-directed Data Scientist to join our team. We collaborate with our partner teams to deliver high-impacting data products and models across enterprise-wide functions, including technology, performance marketing, merchandise planning & allocation, ecommerce, customer experience, store operations, supply chain and others as ascena continues to modernize and evolve its machine learning capabilities. In our team, you will make an impact by: Developing technologically advanced solutions that make a large-scale impact and optimize the end-user experience. Operating with a start-up mentality, bringing new ideas to the table, and inspiring those around you to do the same. Identifying areas of opportunity, recommending solution designs and providing guidance to system and process enhancements. Successfully translating requirements into technical solutions. In this role, you will: Build and deploy machine learning and advanced analytics models to solve challenging business problems. Perform and present exploratory analysis to provide insight to business leaders. Deliver analytics thought leadership within the team and larger analytics function. Work in collaboration with other team members and stakeholders to design analytical solutions to business challenges. Coach and train junior data science resources domestically and offshore. Research next-generation machine learning and advanced analytics techniques. Qualifications: 3 years’ experience conducting data analysis and building machine learning models. Strong foundation in math, statistics, and computer science. Proficiency in Python and SQL. Real-world experience building and orchestrating machine learning pipelines (e.g., Kubeflow). Experience working in a cloud environment preferred (particularly AWS). Strong inclination towards exploring and learning new technologies. Very good verbal and written communications skills. Experience with MLOps a plus. Experience with CI/CD, Docker & Kubernetes preferred. Retail experience a plus. Education: Bachelor’s Degree in Computer Science, Engineering, Information Systems, Data Science, Analytics or equivalent required. Master of Science in Data Science or equivalent preferred. The target salary for this role is: $95,000 - $130,000. Actual compensation within that range is influenced by a wide array of factors including, but not limited to, skill set, level of experience, and other job-related factors. Wherever you are in your life journey, we offer a variety of comprehensive and competitive benefit programs to meet your needs. We strive to offer programs that support both mind and body. For more information on our benefits offered, please follow this link: https://www.ascena.com/home/our-careers/our-benefits/ #LI-AM1 Location: Corp Remote Locations-ascena-Pataskala, OH 43062 Position Type: Regular/Full time Equal Employment Opportunity The Company is committed to hiring and developing the most qualified people at all levels. It is our policy in all personnel actions to ensure that all associates and potential associates are evaluated on the basis of qualifications and ability without regard to sex (including pregnancy), race, color, national origin, religion, age, disability that can reasonably be accommodated without undue hardship, genetic information, military status, sexual orientation, gender identity, or any other protected classification under federal, state, or local law. We do not discriminate in any of our employment policies and practices. All associates are expected to follow these principles in all relationships with other associates, applicants, or others with whom we do business. Ascena is a leading national specialty retailer offering apparel, shoes, and accessories for women through our brands Ann Taylor, LOFT, Lane Bryant and Cacique. We operate ecommerce websites and over 1,200 stores throughout the United States. To reduce potential fraud, we remind all applicants: • It won’t cost you money to apply for a job with us. Our brands will never ask for money – that includes a wire transfer or a credit card. There will be no charge for equipment, background checks or other expenses in submitting a job application with us. • We will never ask for your bank account information as part of the interview process. Your bank account information should only be entered during the onboarding process after you are hired to set up direct deposit of wages. • Interviews will be conducted in-person or through a secure video call, using a teleconference application that uses email addresses only (not telephone numbers). • Watch closely for email addresses with misspelled or “spoofed” company names in communications during the interview process. Examples of suspicious addresses include “Info@company.net” instead of “Info@company.com,” and misspelled company names like “Info@companie.com” or “Info@compaany.com.” • If you do apply to our Brands through an official job board site rather than using our official website (https://www.ascena.com/home/our-careers/work-with-us/), report suspicious communication immediately to the site or platform used to submit your job application (such as an official job board site). • If you have any questions or are not sure if you’ve applied to our Brands, please reach out to myHRSupport@AscenaRetail.com to confirm. • If you believe you may be a victim of a scam, please contact your local law enforcement.

Job Summary

JOB TYPE

Full Time

SALARY

$113k-138k (estimate)

POST DATE

09/30/2022

EXPIRATION DATE

01/23/2024

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The job skills required for Data Scientist include Analysis, Data Science, Machine Learning, Python, Insight, Computer Science, 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.

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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.

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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.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

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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.

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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.

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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.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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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.

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