Director, AI and Data Science

2 weeks ago

Chicago, United States Request Technology, LLC Full time

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 (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
  • Familiarity with DevOps practices and tools (e.g., Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions.
  • Understanding of MLOps principles to streamline the machine learning lifecycle 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-caliber, 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.

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