Data Scientist

Quantum Technologies. LLC; Bentonville (AR); On-site; USD 90,000 - 150,000; Full time

Job summary

Quantum Technologies. LLC is seeking an experienced Data Scientist to collect, analyze, and interpret large datasets to identify business insights and support data-driven decision-making. The role focuses on Python, SQL, ML, statistics, and data visualization tools.

You will develop and deploy predictive models, perform EDA, and build dashboards using Power BI, Tableau, or Matplotlib, collaborating with data engineers and stakeholders to drive production-ready solutions.

Qualifications

• Experience collecting, cleaning, and analyzing large datasets.
• Ability to develop and deploy ML models to solve business problems.
• Proficiency in exploratory data analysis (EDA) to identify trends and relationships.
• Experience building predictive models using supervised and unsupervised learning.
• Develop statistical models and algorithms to improve business performance.
• Proficient with Python libraries for data analysis (Pandas, NumPy, Scikit-learn, SciPy).
• Write complex SQL queries to extract, transform, and analyze data from databases.
• Create data visualizations and dashboards (Power BI, Tableau, Matplotlib).
• Apply feature engineering to improve model accuracy.
• Evaluate models using metrics such as accuracy, precision, recall, F1-score, RMSE.
• Work with large datasets using Spark, Hadoop, or cloud-based platforms.
• Collaborate with data engineers, analysts, and stakeholders to understand requirements.
• Deploy models into production and monitor performance.

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, NumPy, Scikit-learn, and SciPy 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.

Skills

Python

SQL

Machine learning

Statistical analysis

Data visualization

Predictive modeling

Tools

Pandas

NumPy

Scikit-learn

SciPy

Power BI

Tableau

Matplotlib

Spark

Hadoop

Job description

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, NumPy, Scikit-learn, and SciPy 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.