Data Scientist

• Job ID:

J53542

• Job Title:

Data Scientist

• Location:

Bentonville, AR

• Duration:

24 Months + Extension

• Domain Exposure:

IT/Software

• Work Authorization:

US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

• Client:

To Be Discussed Later

• Employment Type:

W-2, 1099, C2C

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:

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• 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.

Equal Opportunity

Employer

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.