Note: The job is a remote job and is open to candidates in USA. Kforce Inc's client is seeking a Data Scientist II to support advanced analytics and machine learning initiatives that drive business outcomes. The role develops and evaluates predictive models, analyzes complex datasets, delivers actionable insights, and collaborates with business and technical stakeholders across the data science lifecycle.
Responsibilities
- Develop, test, and optimize machine learning models to solve business challenges and generate actionable insights
- Perform statistical analyses, forecasting, hypothesis testing, and predictive modeling on large and complex datasets
- Partner with business stakeholders to identify opportunities where data science can improve decision-making and operational performance
- Conduct exploratory data analysis to uncover patterns, trends, and opportunities
- Design experiments and evaluate outcomes to support strategic initiatives
- Build and maintain analytical datasets, reports, dashboards, and visualizations
- Present findings and recommendations to both technical and non-technical audiences
- Support model deployment, monitoring, and performance measurement in production environments
- Collaborate with data engineers, analysts, and technology teams throughout the data science lifecycle
- Stay current on emerging machine learning and AI techniques and recommend practical applications
Skills
- • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline
- • 3-4+ years of experience in data science, machine learning, predictive analytics, or a similar role
- • Hands-on experience building and validating machine learning models using Python
- • Strong understanding of supervised and unsupervised learning techniques
- • Experience with statistical analysis, predictive modeling, and data mining methodologies
- • Advanced SQL skills and experience working with large datasets
- • Experience using visualization and reporting tools such as Power BI
- • Excellent communication skills with the ability to translate technical findings into business recommendations
- • Master's degree in a quantitative field
- • Experience working in AWS, Azure, or other cloud-based environments
- • Exposure to MLOps concepts, including model deployment, monitoring, CI/CD pipelines, and model lifecycle management
- • Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or XGBoost
- • Familiarity with predictive analytics, forecasting, optimization, customer analytics, or operational analytics use cases
Benefits
- Medical, dental, and vision insurance for eligible employees
- Health Savings Account (HSA) for eligible employees
- Flexible Spending Account (FSA) for eligible employees
- 401(k) for eligible employees
- Life, disability, and ADD insurance for eligible employees
- Salaried personnel receive paid time off
- Hourly employees on a Service Contract Act project are eligible for paid sick leave
Company Overview
Company H1B Sponsorship