Data Scientist: ML, Predictive Modeling & Visualization

Machine Learning Technologies, LLC; Bentonville (AR); On-site; USD 110,000 - 150,000; Full time

Job summary

Machine Learning 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 requires strong Python, SQL, machine learning, statistics, and data visualization skills, with hands-on work building, evaluating, and deploying predictive models. You will collaborate with data engineers and stakeholders to create dashboards and monitor model performance in production.

Qualifications

• Experience collecting, cleaning, preprocessing, and analyzing structured and unstructured datasets.
• Ability to develop and implement machine learning models to solve business problems.
• Experience performing exploratory data analysis to identify trends and relationships.
• Proficiency in building predictive models using supervised and unsupervised learning.
• Strong background in developing statistical models and algorithms to improve performance.
• Proficient with Python libraries such as Pandas, NumPy, Scikit-learn, SciPy.
• Ability to write complex SQL queries to extract, transform, and analyze data.
• Experience creating data visualizations and dashboards (Power BI, Tableau, or Matplotlib).
• Knowledge of feature engineering and model evaluation metrics; RMSE, F1, etc.
• Experience deploying models into production and monitoring 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

Job description

Machine Learning 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 requires strong Python, SQL, machine learning, statistics, and data visualization skills, with hands-on work building, evaluating, and deploying predictive models. You will collaborate with data engineers and stakeholders to create dashboards and monitor model performance in production.