Director of Data Science, AI/ML

Position Overview

The Hands-on Director of Data Science, AI/ML will lead the data science and artificial intelligence/machine learning (AI/ML) initiatives within our organization. This hands-on role involves driving strategy, developing advanced AI models, and ensuring the successful deployment of AI solutions across various business functions. The ideal candidate will have a strong background in data science, extensive experience with AI/ML technologies, and the ability to lead and mentor a diverse team of data scientists, engineers, and analysts.

Strategic Leadership

What You’ll Do for Us:

• Develop and implement the strategic vision for data science and AI/ML initiatives.
• Collaborate with executive leadership to align data science goals with business objectives.
• Identify and prioritize opportunities to leverage data science and AI/ML for competitive advantage.

Technical Leadership

• Provide hands-on leadership in the development, deployment, and maintenance of AI/ML models and algorithms.
• Model Development: Develop, implement, and optimize ML and AI algorithms to predict outcomes and derive insights from large structured and unstructured datasets.
• Data Insights: Visualize and interpret data, creating actionable reports and insights.
• Scalability: Partner with ML Ops and other cross-functional teams to scale and operationalize ML and AI use-cases.
• Knowledge Sharing: Build and maintain a robust library of reusable data science solutions, templates, and code.
• Automation: Utilize CI/CD principles to automate deployments and improve repeatability.
• Oversee the end-to-end lifecycle of data science projects, including data collection, data cleaning, feature engineering, model training, validation, and deployment.
• Ensure the scalability, reliability, and efficiency of data science solutions.

Team Management

• Lead, mentor, and develop a high-performing team of data scientists, machine learning engineers, and data analysts.
• Foster a culture of continuous learning, innovation, and collaboration within the team.
• Conduct regular performance reviews and provide constructive feedback to team members.

Collaboration And Communication

• Work closely with cross-functional teams, including product management, engineering, and business stakeholders, to identify and solve complex problems.
• Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.
• Advocate for data-driven decision-making across the organization.

Innovation And Research

• Stay current with the latest advancements in data science, AI/ML, and related technologies.
• Drive innovation by exploring new methodologies, tools, and technologies to enhance the organization's data science capabilities.
• Foster relationships with academic institutions, industry groups, and research organizations.

Qualifications And Requirements

• Education: Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Experience: 10+ years of experience in data science and AI/ML, with a proven track record of delivering impactful projects. 3+ years in a leadership role, managing and mentoring teams.
• Technical Skills: Expertise in programming languages such as Pyspark, Python, etc. Proficiency with data science and machine learning frameworks (e.g., AzureML, Scikit-learn). Experience with big data technologies (e.g., Spark, Azure Synapse Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud). Strong knowledge of statistics, machine learning algorithms, and data visualization techniques. Familiarity with generative AI techniques such as GANs, autoencoders, and transformers.

What We Offer

• Innovation & Technology: The chance to work with an award-winning team on the cutting edge of innovation.
• Leadership Exposure: Opportunities to interact with global technology leaders and expand your network.
• Agile Environment: A work environment that embraces agile principles, empowering you to experiment, iterate, and innovate.