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Data Scientist

Job in Bentonville, Benton County, Arkansas, 72712, USA
Listing for: Quantum Technologies. LLC
Full Time position
Listed on 2026-11-02
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 90000 - 150000 USD Yearly USD 90000.00 150000.00 YEAR
Job Description & How to Apply Below

We are looking for an experienced Data Scientist responsible for collecting, analyzing, and interpreting large datasets to identify business insights and support data-driven decision-making. The candidate should have strong experience in Python, SQL, machine learning, statistical analysis, data visualization, and predictive modeling.

Roles and Responsibilities:
  • Collect, clean, preprocess, and analyze structured and unstructured datasets.
  • Develop and implement machine learning models to solve business problems.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships.
  • Build predictive models using supervised and unsupervised learning techniques.
  • Develop statistical models and algorithms to improve business performance.
  • Use Python libraries such as Pandas, Num Py, Scikit-learn, and Sci Py for data analysis.
  • Write complex SQL queries to extract, transform, and analyze data from databases.
  • Develop data visualizations and dashboards using Power BI, Tableau, or Matplotlib.
  • Apply feature engineering and feature selection techniques to improve model accuracy.
  • Evaluate machine learning models using performance metrics such as accuracy, precision, recall, F1-score, and RMSE.
  • Work with large datasets using Spark, Hadoop, or cloud-based data platforms.
  • Collaborate with data engineers, business analysts, and stakeholders to understand business requirements.
  • Deploy machine learning models into production environments.
  • Monitor model performance and perform model tuning and optimization.
  • Document data science processes, findings, and recommendations.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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