Data Scientist

Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA

Summary

A data scientist is responsible for developing advanced analytical models and applying machine learning techniques to extract insights from complex and large-scale datasets. This role supports strategic decision-making, predictive analytics initiatives, and data-driven business transformation across the organization.

Key Responsibilities

• Design, develop, and deploy predictive models and machine learning algorithms to solve business problems.
• Analyze large and complex datasets to identify trends, patterns, correlations, and actionable insights.
• Collaborate with business stakeholders, analysts, and product teams to understand data needs and define analytical objectives.
• Build data pipelines and feature engineering processes to support model development and deployment.
• Create data visualizations, dashboards, and analytical reports to communicate insights to technical and non-technical audiences.
• Optimize data collection, storage, and retrieval processes to improve performance and scalability.
• Ensure model accuracy, reproducibility, scalability, and compliance with data governance standards.
• Conduct A/B testing, experimentation, and hypothesis testing to validate business strategies and product enhancements.
• Monitor model performance in production and continuously refine algorithms based on feedback and new data.
• Document models, assumptions, methodologies, and data sources for transparency and auditability.
• Evaluate emerging tools, frameworks, and algorithms to improve analytical capabilities.
• Work closely with data engineers to integrate models into enterprise data platforms.
• Provide guidance on data science best practices and promote a data-driven culture across teams.
• Mentor junior data scientists, analysts, and engineers to build technical excellence within the organization.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• 3-6 years of hands-on experience in data science, advanced analytics, or machine learning.
• Proficiency in Python, R, SQL, and popular machine learning libraries and frameworks.
• Strong foundation in statistics, probability, and applied mathematics.
• Demonstrated ability to translate complex data into business-relevant insights.

Preferred Skills / Duties

• Experience working with cloud-based data platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• Knowledge of deep learning, natural language processing (NLP), and artificial intelligence (AI) frameworks.
• Familiarity with big data technologies, distributed computing, and data engineering pipelines.
• Excellent data storytelling, visualization, and presentation abilities.
• Strong communication, problem-solving, and stakeholder collaboration skills