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Senior Data Scientist Engineer – SFL Scientific Data and Analytics

United States, Los Angeles - California

SpringCube

Full-time - Senior Engineer

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 leading global strategy and transactions consultancy is seeking a Senior Data Scientist Engineer to join its specialized SFL Scientific team. This team delivers integrated programs that transform client businesses through advanced data science, AI, and analytics solutions. Projects range from healthcare and drug discovery to autonomous systems and consumer product innovation, providing opportunities to work on complex R&D challenges with high business impact.

Position Summary
The Senior Data Scientist Engineer will collaborate with clients to design and develop innovative data science projects and AI solutions. This role requires expertise in advanced analytics, machine learning, and AI model deployment, with a focus on driving practical business outcomes and research innovation. Candidates will work alongside interdisciplinary teams to create cutting-edge tools, products, and AI services across multiple domains.

Key Responsibilities

  • Guide clients in AI strategy, exploratory data analysis, model development, validation, and deployment
  • Lead client initiatives to deliver AI/ML solutions, including thought leadership, strategy, and long-term maintenance
  • Research and implement novel machine learning approaches, including state-of-the-art network and solution design, training, and hardware optimization
  • Validate AI models and algorithms through code reviews, unit tests, and integration tests
  • Prioritize project performance and model development to maximize business impact
  • Collaborate with data engineers, data scientists, project managers, and business teams to align delivery with client objectives
  • Work on interdisciplinary projects in domains such as cancer detection, drug discovery, population health, clinical trials, autonomous systems, and consumer product innovation

Qualifications

  • Ability to work independently and collaboratively in a team environment
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Strong interpersonal skills and professional demeanor
  • Proven ability to lead projects or workstreams and provide guidance to others
  • Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment
  • Experience with AI/ML model development, deployment, and strategy
  • Strong analytical, problem-solving, and technical skills

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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