Sr. Data Science Analyst (Hybrid) jobs in United States
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Belk · 1 month ago

Sr. Data Science Analyst (Hybrid)

Belk is a prominent retail company seeking a Senior Data Science Analyst to enhance customer strategies through analytics. The role involves building and automating reports, extracting data to develop models, and creating AI/machine learning tools to provide insights for various departments.

E-CommerceRetailRetail Technology
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H1B Sponsor Likelynote

Responsibilities

Automating reports, dashboards, and other performance tools
Data engineering/mining (collecting, transforming, cleansing and analyzing)
Providing valuable business analytics and insights out of data samples thru hypothesis testing
Utilizing different databases and connections and 3rd party data sets to enhance analytics scope
Building data visualizations in Tableau, R-Shiny or other
Providing ad-hoc analysis and presenting results in a clear manner
Building AI/machine learning tools to optimize analytics and processes within the company
Applying statistical methods and building machine learning algorithms (such as k-NN, Naive Bayes, SVM, Decision Forests)
Using query languages such as SQL
Utilizing data science toolkits such as R and Python (excellence in at least one of these)
Maintaining expert-level knowledge on data science trends, technologies, and methodologies
Scoring of key attributes used in deep statistical analysis and modeling
Leading in defining the project methodologies and approach
Data affinity with attention to detail
Solution and problem-solving oriented
Strong Communication Skills (ability to communicate complex data in a simple way)
Strong Presentation Skills and Technical Writing Skills
Ability to work within a diverse background team or independently
Able to quickly interpret the data and transition it into tangible business recommendation

Qualification

Data engineeringMachine learningSQLTableauPythonRCommunication skillsProblem-solvingPresentation skillsTechnical writing

Required

Bachelor's Degree in data science, statistics, computer science, business or related field
Strong data analytical skills
Technical skills used in data engineering (mining from multiple sources/systems)
Predictive scenario modeling knowledge
Machine learning knowledge
Automating reports, dashboards, and other performance tools
Data engineering/mining (collecting, transforming, cleansing and analyzing)
Providing valuable business analytics and insights out of data samples thru hypothesis testing
Utilizing different databases and connections and 3rd party data sets to enhance analytics scope
Building data visualizations in Tableau, R-Shiny or other
Providing ad-hoc analysis and presenting results in a clear manner
Building AI/machine learning tools to optimize analytics and processes within the company
Applying statistical methods and building machine learning algorithms (such as k-NN, Naive Bayes, SVM, Decision Forests)
Using query languages such as SQL
Utilizing data science toolkits such as R and Python (excellence in at least one of these)
Maintaining expert-level knowledge on data science trends, technologies, and methodologies
Scoring of key attributes used in deep statistical analysis and modeling
Leading in defining the project methodologies and approach
Data affinity with attention to detail
Solution and problem-solving oriented
Strong Communication Skills (ability to communicate complex data in a simple way)
Strong Presentation Skills and Technical Writing Skills
Ability to work within a diverse background team or independently
Able to quickly interpret the data and transition it into tangible business recommendation
Strong analytical and data wrangling skills allowing to move quickly through large volumes of data
Aggressive in pursuing opportunities and focused on providing technical and analytical business solutions to drive store level results
Creative thinker focused of problem solving, finding efficiencies and streamlining processes
Strong communicator with ability to work in group environment
Flexible and adaptable, team-player able to work in a dynamic group environment
Passionate for coaching and development of talent
Ability to manage time and workload effectively with flexibility to shift focus/priorities at a moment's notice
An ability to influence cross-functionally across a wide range of business areas and levels
Excellent written and verbal communication skills
Proven success in using data-driven analysis to assess opportunities and drive results

Company

Belk, Inc. is the mainline department store company with 305 stores located in 16 Southern states.

H1B Sponsorship

Belk has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (20)
2024 (19)
2023 (20)
2022 (31)
2021 (32)
2020 (64)

Funding

Current Stage
Public Company
Total Funding
$485M
2024-07-23Debt Financing· $485M
2015-08-24Acquired
2011-11-23IPO

Leadership Team

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Don Hendricks
Chief Executive Officer
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H
Hyon Park
EVP, CIO
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Company data provided by crunchbase