Lead Data Scientist

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