Data Scientist: ML, SQL & Visualization Expert

MACHINE LEARNING TECHNOLOGIES LLC; Bentonville (AR); On-site; USD 110,000 - 150,000; Full time

Job summary

Machine Learning Technologies LLC is seeking a Data Scientist in Bentonville, AR to turn large datasets into actionable insights. You'll collect, clean, and analyze data, build predictive models, and communicate results to stakeholders.

You should be proficient in Python, SQL, machine learning, statistics, data visualization, and deploying models to production environments. Collaboration with engineers and analysts is essential.

Qualifications

• Experience collecting, cleaning, and analyzing large datasets.
• Strong experience with Python and SQL for data processing and modeling.
• Proficiency in machine learning, statistics, and data visualization.

Responsibilities

• Collect, clean, preprocess, and analyze structured and unstructured data.
• Develop and implement machine learning models to solve business problems.
• Perform exploratory data analysis to identify trends and patterns.
• Build predictive models using supervised and unsupervised learning.
• Develop statistical models and algorithms to improve performance.
• Use Python libraries for data analysis (Pandas, NumPy, SciKit-Learn).
• Write complex SQL queries to extract and analyze data.
• Develop data visualizations and dashboards (Power BI/Tableau/Matplotlib).
• Apply feature engineering to improve model accuracy.
• Evaluate models using metrics like accuracy, precision, recall, F1, RMSE.
• Work with large datasets using Spark, Hadoop, or cloud platforms.
• Collaborate with engineers and analysts to understand requirements.
• Deploy models into production environments.
• Monitor model performance and tune as needed.
• Document data science processes and findings.

Skills

Python

SQL

Machine Learning

Statistical Analysis

Data Visualization

Predictive Modeling

Tools

Power BI

Tableau

Matplotlib

Job description

Machine Learning Technologies LLC is seeking a Data Scientist in Bentonville, AR to turn large datasets into actionable insights. You'll collect, clean, and analyze data, build predictive models, and communicate results to stakeholders.

You should be proficient in Python, SQL, machine learning, statistics, data visualization, and deploying models to production environments. Collaboration with engineers and analysts is essential.