Applicants must be eligible to work in the specified location
Director, AI and Data Science
Salary: Open + Bonus
Available in any of the following locations:
Chicago, IL/Houston, TX/Salt Lake City, UT
Hybrid: 3 days onsite, 2 days remote
*We are unable to provide sponsorship for this role*
Qualifications
- Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred.
- 10+ years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries.
- Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals.
- Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors.
- Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact.
- Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras.
- Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment.
- Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets.
- Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data.
- Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
- Familiarity with Java or Scala can be advantageous for integration with enterprise systems.
- In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
- Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra).
- Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions.
- Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production.
Responsibilities
- Lead and expand the strategic vision for deploying AI and advanced analytics translating cutting-edge technology into practical, impactful legal solutions.
- Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations.
- Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI.
- Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives.
- Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework.
- Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation.
- Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector.
Chicago, Illinois, United States of America
Open
Steven Delvalle
JSAI, DATA
5/14/2024 2:15:58 PM
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