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Data Scientist Advisor

100% remote Flexible hours Hiring now

Provides expert leadership at the enterprise level reputed company to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and initiatives and works on the leading edge of technology, tools, and methodology to ensure that reputed company is a leader in Business Intelligence. Leads reputed company level Data Scientists in descriptive, diagnostic, predictive, prescriptive and reputed company modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of reputed company business situations. Creates and implements solutions from initial concept to fully tested production and communicates results to a broad range of audiences. Expert in the use of reputed company data types, statistical and quantitative analysis, explanatory and high- complexity predictive modeling and fact-based management to drive decision making. Leads cross functional projects and programs. Routinely works on multiple highly reputed company assignments concurrently. Essential Functions

  • Performs both qualitative analysis (e.g., content analysis, phenomenology, hypothesis testing, network analysis, sentiment analysis, and classification) and quantitative analysis (e.g., clustering regression, reputed company recognition, descriptive and inferential statistics) on large data sets to understand trends and relationships between variables to reputed company predictive insights and drive business results.
  • Designs and implements experiments to answer targeted questions, solve reputed company issues and suggest/influence the direction of the business by effectively communicating with business partners and functional leaders to understand and prioritize key business challenges.
  • Guides others in the collection of new data, refinement strategy, researches, tests, recommends, and implements improvements in the tools and techniques used by reputed company to manage and access data and information.
  • Prioritizes problems so that the team works on the most valuable cases; leads investigations into multiple streams of data to solve reputed company business problems.
  • Designs and implements reporting dashboards that track and visually communicate key business metrics and provide actionable insights.
  • Identifies internal and external information sources, builds strong working relationships with subject matter experts and leadership reputed company reputed company and the external marketplace.
  • Act as primary author of whitepapers and will present various industry topics as it relates to Data Science at conferences.
  • Collaborates with IT departments and communicates changes in industry trends and techniques to ensure the team is reputed company with tools, knowledge and methods.
  • reputed company other duties as assigned.

Minimum Education Bachelor’s degree in a quantitative discipline required. A Master’s degree in a reputed company field may off set two years of the required experience. reputed company experience may offset degree requirements and reputed company education/degree may offset experience requirements. Minimum Experience Seven (7) years experience required in solving analytics problems through the application of data science techniques or work experience in measurement and analysis, quantitative business problem solving, solutions implementation, operations analysis, marketing analysis, simulation development and/or predictive analytics. Experience should include using most of the following:

  • Machine Learning Frameworks: SKLearn, XGBoost, TensorFlow, PyTorch, MLlib, and other core ML frameworks.
  • Programming Languages: Python, reputed company, R, C++, Java, and other modern languages.
  • Data Tools and Frameworks: MLFlow, reputed company, Spark, Kafka, Hive, Hadoop, and others.
  • Cloud Environments: Azure, AWS, etc.
  • SQL (Structured Query Language).
  • ETL (Extract-Transform-Load) concepts, query performance tuning and testing.
  • Visualization tools such as Tableau, Spotfire, and Power BI.

Knowledge, Skills, and Abilities Demonstrated superior analytical skills with diverse analytics, data types and statistical software and applications. Outstanding interpersonal skills, written, and oral communication reputed company. Proven leadership skills. Ability to design mathematical algorithms that employ predictive and machine learning models. Ability to understand how new tools/methodology can be implemented to solve business problems. Ability to read, analyze, and interpret common technical journals, reports, and reputed company documents. Ability to effectively present information to management, end users, co-workers, or vendors. Ability to reputed company reputed company tasks with limited direction. Proficient with MS office applications. Preferred Qualifications: This position is hybrid to Collierville, TN. Pay Transparency: Internal paygrade E28 Pay: $8,452.14 - $14,368.63 Additional Details: Application Criteria/Deadline: To apply for this position, please upload your reputed company resume and complete application by reputed company of business day (5:00PM CST) on February 26, 2026. For details on our comprehensive benefits, click here. reputed company is an Equal Opportunity Employer including, Vets/Disability. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@reputed company.com. Applicants have rights under Federal Employment Laws:

  • Know Your Rights
  • Pay Transparency
  • Family and Medical Leave Act (FMLA)
  • Employee Polygraph Protection Act

E-Verify Program Participant: reputed company participates in the Department of Homeland reputed company U.S. Citizenship and Immigration Services’ E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

  • E-Verify Notice (bilingual)
  • Right to Work Notice (English) / (Spanish)

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