Senior Data Scientist – Sfl Scientific

Senior Data Scientist at Deloitte's SFL Scientific practice, focusing on designing and developing novel AI/ML solutions for clients. Responsibilities include defining data strategy, exploratory analysis, building and validating models, deploying them into production, and leading client initiatives. The role involves working on cutting-edge areas like cancer detection, drug discovery, autonomous systems, and agentic solutions.

What you'd actually do

  1. Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
  2. Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
  3. Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
  4. Validate AI models and algorithm via code reviews, unit, and integration tests
  5. Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives

Skills

Required

  • AI strategy and development
  • exploratory data analysis
  • building and validating models
  • deploying models into production
  • thought leadership
  • long-term maintenance
  • AI strategy objectives
  • novel machine learning approaches
  • state-of-the-art training
  • solution design
  • network design
  • hardware optimization
  • AI models and algorithm validation
  • code reviews
  • unit tests
  • integration tests
  • project performance prioritization
  • model development prioritization
  • business impact maximization
  • collaboration with data engineers, data scientists, project managers, and business teams
  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

What the JD emphasized

  • novel projects and solutions
  • novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation
  • novel projects and use cases
  • novel machine learning approaches
  • advancing state-of-the-art training
  • novel and complex projects

Other signals

  • AI strategy and development
  • deploying models into production
  • AI/ML solutions
  • novel machine learning approaches
  • advancing state-of-the-art training
  • AI models and algorithm validation
  • AI solutions delivered to maximize business impact