Location: Atlanta, GA Duration: 1 Year (August 2025 - August 2026) Hourly Rate: $63/hour We are currently seeking an experienced Lead Data Scientist to join our team on a 1-year contract basis and help us drive our data strategy forward. The Role: As the Lead Data Scientist, you will play a critical role in leading data science initiatives across the organization. You will work closely with cross-functional teams to develop data-driven solutions that impact key business decisions. This is an exciting opportunity to apply your expertise in machine learning, statistical modeling, and data visualization in a strategic leadership capacity while mentoring junior team members. Key Responsibilities: • Direct and oversee complex data science projects that align with business goals. • Design, develop, and optimize advanced machine learning algorithms (e.g., deep learning, neural networks, ensemble methods). • Create compelling visualizations using tools like Tableau, Power BI, and custom Python libraries (Matplotlib, Seaborn) to communicate insights to both technical and non-technical stakeholders. • Lead and mentor a team of data scientists, fostering their growth and ensuring their work aligns with the organization's data strategy. • Work with engineers, business analysts, and other cross-functional teams to ensure alignment on business needs and data science solutions. • Design and analyze A/B tests to validate changes and improvements. • Ensure data privacy and compliance with regulations such as GDPR, CCPA, and other relevant data protection laws. What We’re Looking For: • Experience: 10-15 years in data science, with a proven track record of leading successful data initiatives and solving complex business problems. • Technical Expertise: Extensive experience with machine learning algorithms, predictive modeling, and data manipulation using Python or R. Familiarity with tools like Hadoop, Spark, and cloud platforms (AWS, Google Cloud) is a plus. • Statistical and Analytical Skills: Deep understanding of statistical analysis and hypothesis testing. • Data Visualization: Proficiency in Tableau, Power BI, or Python libraries (Matplotlib, Seaborn). • Leadership: Proven ability to mentor and lead teams, and communicate technical concepts to both technical and non-technical stakeholders. • Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field. • Big Data & Cloud Technologies: Experience working with large datasets and distributed computing frameworks. Why You Should Apply: • Lead high-impact data science initiatives that will shape business decisions across the organization. • Develop and grow a team of talented data scientists and help them reach their full potential. • A one-year contract role that offers competitive compensation with potential for extension based on performance. • Work in a collaborative, forward-thinking company that values innovation and continuous learning.