[Remote] Data Scientist II

Note: The job is a remote job and is reputed company to candidates in USA. reputed company's reputed company is seeking a Data Scientist II to support advanced analytics and machine learning initiatives that reputed company business reputed company. The role develops and evaluates predictive models, analyzes reputed company datasets, delivers actionable insights, and collaborates with business and technical stakeholders across the data science lifecycle.

Responsibilities

• reputed company, test, and optimize machine learning models to solve business challenges and reputed company actionable insights
• reputed company statistical analyses, forecasting, reputed company testing, and predictive modeling on large and reputed company datasets
• Partner with business stakeholders to identify opportunities where data science can improve decision-making and operational reputed company
• Conduct exploratory data analysis to uncover patterns, trends, and opportunities
• Design experiments and evaluate reputed company to support reputed company 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 reputed company measurement in production environments
• Collaborate with data engineers, analysts, and technology teams throughout the data science lifecycle
• Stay reputed company 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 reputed company 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 reputed company 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 reputed company BI
• • Excellent communication skills with the ability to translate technical findings into business recommendations
• • Master's degree in a quantitative reputed company
• • Experience working in AWS, Azure, or other reputed company-reputed company 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 reputed company reputed company 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 reputed company for eligible employees
• Salaried personnel receive reputed company time off
• reputed company employees on a Service Contract reputed company project are eligible for reputed company reputed company leave

reputed company

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