Lead Data Scientist

Role Description: 

As a Lead Data Scientist, you will be a key player in driving the success of our data science initiatives, leading the execution of impactful projects, and mentoring a team of talented data scientists. You will act as a bridge between technical expertise and cross-functional teams in Sales, Marketing, Customer Success, and Product Development to identify opportunities for AI and ML to solve complex problems and drive strategic growth. This role requires a blend of technical proficiency, leadership skills, and a strong understanding of business goals. 

Responsibilities: 

• Lead and mentor a team of data scientists, providing technical guidance, fostering professional development, and promoting a collaborative work environment. 
• Collaborate with stakeholders across departments to understand business needs, translate them into data-driven solutions, and communicate technical concepts effectively to non-technical audiences. 
• Lead the design, development, and implementation of innovative data science solutions, including machine learning models, statistical analyses, and predictive algorithms. 
• Develop and maintain robust data pipelines for data acquisition, cleaning, transformation, and feature engineering, ensuring data quality and efficiency. 
• Train, validate, and deploy ML models using various algorithms, including regression, classification, clustering, time series forecasting, and reinforcement learning. 
• Evaluate model performance, identify opportunities for improvement, and implement optimization strategies. 
• Propose and implement best practices and standards for data science development, ensuring consistency, efficiency, and quality across projects. 
• Lead the execution of complex projects, guiding the team through all stages of the data science lifecycle. 
• Identify new opportunities for leveraging data science to gain a competitive advantage and drive business growth. 
• Contribute to the development and execution of the data science roadmap, aligning initiatives with overall business objectives and prioritizing projects for maximum impact. 
• Stay up to date on the latest trends and advancements in machine learning, data science, and related technologies. 
• Champion the adoption of data science best practices across the organization, fostering a data-driven culture. 

Qualifications: 

• Master's degree in Statistics, Computer Science, Data Science, or a related field. 
• 7+ years of experience in a data science role, with a proven record of accomplishment developing and deploying successful machine learning solutions. 

Strong proficiency in Python, R, or other statistical programming