Lead Data Scientist, National AI & Predictive Analytics

Overview of the Lead Data Scientist Role

The Lead Data Scientist for National AI & Predictive Analytics will spearhead innovative data-driven projects, fostering a culture of analytical excellence across the organization. This senior-level role demands the ability to leverage extensive experience in statistical modeling, machine learning, and big data technologies to drive actionable insights that inform strategic business decisions. The candidate will lead a multidisciplinary team, advocating for best practices in data governance, predictive modeling, and AI ethics while also collaborating with stakeholders at all levels to align analytical initiatives with organizational goals. Additionally, the successful candidate will need to exemplify exceptional problem-solving skills, strategic thinking, and the ability to translate complex technical concepts for non-technical audiences, ensuring the delivery of high-impact solutions that enhance both operational efficiency and customer experience.

Key Responsibilities

• Lead the design, implementation, and refinement of predictive models and algorithms that drive actionable insights and improve business efficiency.
• Manage and mentor a team of data scientists and analysts, providing guidance on best practices, methodologies, and technical skills to foster a high-performance culture.
• Collaborate with business leaders and stakeholders to identify key performance indicators, data requirements, and analytical needs to inform strategic initiatives.
• Oversee the integration of data from various internal and external sources, ensuring data accuracy, consistency, and accessibility for analysis.
• Communicate complex analytical findings in a clear and compelling manner, utilizing data visualization techniques to enhance stakeholder understanding and buy-in.
• Stay abreast of the latest trends and advancements in AI, machine learning, and big data analytics, incorporating relevant innovations into the organization's strategies.
• Develop and implement robust data governance frameworks and ethical guidelines for AI applications, ensuring compliance with legal and regulatory standards.
• Drive a culture of experimental thinking and data-driven decision-making across the organization, influencing the adoption of a holistic analytics strategy.
• Initiate and manage partnerships with academic institutions, industry experts, and technical vendors to continuously enhance the organization's analytical capabilities.
• Assess and mitigate risks associated with data projects, ensuring that all projects are delivered on time and within scope while meeting business objectives.

Job Requirements

• A minimum of 12 years of experience in data science, machine learning, or related fields, with progressive leadership roles demonstrating the ability to manage and mentor teams.
• Expertise in advanced statistical methods, machine learning algorithms, and predictive modeling techniques, backed by a strong portfolio of successful implementations in real-world applications.
• Proficiency in big data technologies (e.g., Hadoop, Spark, or related platforms) and experience handling large datasets across various environments.
• A deep understanding of data visualization tools (e.g., Tableau, Power BI, or similar) and experience in communicating insights effectively to diverse stakeholders.
• Strong programming skills in languages such as Python, R, or SQL, with demonstrated experience in leveraging these languages for analytics and data manipulation.
• Extensive experience in developing and deploying AI solutions, with a solid understanding of ethical AI principles and data privacy regulations.
• Proven ability to collaborate with cross-functional teams and influence stakeholders by clearly articulating the value of data-driven decision-making.
• Excellent presentation and storytelling capabilities, with a track record of conveying complex data insights in an engaging manner to both technical and non-technical audiences.
• A strong academic foundation, preferably with a Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.

Required Skills

• Advanced statistical and mathematical prowess with the ability to apply these concepts to real-world business scenarios.
• Strong leadership and team management skills, demonstrating the ability to inspire and guide a diverse group of professionals toward common goals.
• Exceptional problem-solving abilities, with a strategic mindset capable of translating analytical findings into actionable business recommendations.
• High-level proficiency in programming languages commonly used in data analysis and machine learning, including Python, R, and SQL.
• Expertise in data visualization best practices, with a knack for storytelling through data to effectively communicate insights and drive organizational change.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, or Google Cloud) and their applications in data storage, processing, and analysis.
• Excellent interpersonal and communication skills, with the ability to foster relationships and facilitate collaboration across diverse teams.
• An in-depth understanding of AI ethics, data privacy regulations, and the implications of bias in machine learning algorithms.
• Proven track record of managing multiple projects simultaneously in fast-paced environments while consistently meeting deadlines and objectives.
• Strong analytical thinking and a deep curiosity for uncovering insights that can drive business value.

Key Skills/Competency

• Data Science Leadership
• Predictive Modeling
• Machine Learning
• Big Data Technologies
• AI Ethics
• Data Governance
• Statistical Analysis
• Python/R/SQL
• Data Visualization
• Stakeholder Communication