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Data Science Manager, Gen AI – SFL Scientific

United States, Los Angeles - California

SpringCube

Full-time - Engineering Manager

IT Services & Consulting

Posted 4 weeks ago

Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A global professional services organization provides end-to-end strategy and transformation support to clients across industries, including healthcare, life sciences, manufacturing, consumer, and energy. The organization delivers integrated consulting solutions spanning valuation modeling, cost optimization, restructuring, business transformation, M&A, infrastructure, and sustainability. This specialized team focuses on applying AI and advanced analytics to solve complex client challenges while driving measurable business and scientific outcomes.

Position Summary
The Data Science Manager will lead the design, development, and deployment of AI and GenAI solutions across multiple industries. This role combines technical expertise, strategic leadership, and client engagement to deliver innovative data science solutions. The manager will oversee technical delivery, mentor team members, and guide clients in leveraging AI to address real-world business problems.

Responsibilities

  • Lead the development and management of a team delivering AI and GenAI solutions
  • Define technical strategy, project roadmap, and prototyping for client-specific AI/ML solutions
  • Support identification of high-value AI opportunities and communicate AI strategy to clients
  • Guide clients on AI adoption, exploratory data analysis (EDA), model building, validation, and deployment
  • Oversee predictive and generative AI initiatives, ensuring scalability, efficiency, and compliance with AI standards
  • Collaborate with interdisciplinary teams of data scientists, engineers, and solution architects to achieve delivery objectives
  • Research and implement best practices for model validation, deployment, testing, and code review
  • Present technical findings and deployment options to key stakeholders
  • Mentor, motivate, and coach junior data scientists on technical best practices
  • Develop leadership and delivery skills to grow into senior technical or non-technical management roles

Qualifications

  • Strong expertise in AI/ML, including computer vision, natural language processing (NLP), time-series analysis, and graph neural networks
  • Proven ability to work independently and collaboratively in a team environment
  • Excellent written and verbal communication skills
  • Strong attention to detail and quality of work product
  • Ability to manage multiple projects in a fast-paced, dynamic environment
  • Experience leading projects or workstreams and mentoring junior team members
  • Strong interpersonal skills and professional demeanor
  • Ability to build and sustain professional relationships and meet deadlines

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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