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 (Masters 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
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