Job Description
Job Description
We are seeking a highly experienced and strategic Lead Data Scientist to drive data-driven decision-making and lead advanced analytics initiatives across the organization. The ideal candidate will combine strong technical expertise with leadership capabilities to design, develop, and deploy scalable data science solutions. This role requires a hands-on leader who can mentor a team, collaborate with stakeholders, and translate complex data into actionable insights.
Key Responsibilities
Lead the design, development, and deployment of machine learning models and advanced analytics solutions
Define data science strategy aligned with business objectives
Collaborate with cross-functional teams to identify opportunities for leveraging data
Oversee data collection, preprocessing, and feature engineering processes
Build and optimize predictive and prescriptive models
Communicate insights and recommendations to stakeholders and executive leadership
Establish best practices for data science, model governance, and experimentation
Mentor and guide junior data scientists and analysts
Ensure data quality, integrity, and compliance with regulatory standards
Stay current with emerging trends and technologies in data science and AI
Required Qualifications
Must be currently residing in the United States
Valid U.S. work authorization (citizen, permanent resident, or authorized work permit holder)
Proven experience as a Data Scientist with leadership or team management responsibilities
Strong proficiency in Python or R for data analysis and machine learning
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Solid understanding of statistics, probability, and data modeling
Experience working with large datasets and distributed computing tools (e.g., Spark)
Strong knowledge of SQL and data manipulation techniques
Excellent problem-solving, analytical, and communication skills
Preferred Qualifications
Advanced degree (Master's or PhD) in Data Science, Computer Science, Statistics, or a related field
Experience with cloud platforms (AWS, Azure, or Google Cloud)
Familiarity with MLOps practices and tools
Experience in building data pipelines and data engineering workflows
Knowledge of data visualization tools (Tableau, Power BI)
Work Environment
Fully remote role with flexible scheduling options
Must be available to work within U.S. business hours
Leadership responsibilities across distributed teams
Compensation & Benefits
Opportunity for long-term engagement or full-time conversion (if applicable)
Professional development, conference, and certification support