Data Scientist, Consultant
Ascendiun
With an account: save jobs, track applications, build tailored resumesAlready have an account? Log in
- Location
- Oakland, CA
- Job type
- Full time
- Posted
- Oct 22
- 2 days ago
Career path
See where this role leads
Jigup maps the next three moves from a job like this one, with the titles and the skills each step asks for.
About the company
Ascendiun
Hospital & health care · 2 to 10 employees
What you'll do
- Develop and deploy novel applications using machine learning, statistical methods, and generative AI
- Work across partner teams to deliver solutions and maximize impact
- Translate cutting-edge AI research into real-world products
- Design, build, and ship production-grade AI products
- Embed AI products into customer-facing applications and enterprise workflows
What you need
- Bachelor's degree in computer science, statistics, quantitative discipline, or equivalent practical experience
- 7 years of experience in software development, applied AI/ML, and statistical analysis
- Advanced degrees in a relevant field may be considered in lieu of a portion of the required experience
- Demonstrated track record of building and shipping software products rapidly, not just developing models or analyses
- Working knowledge of machine learning and statistical analysis methods, with experience applying these techniques to business problems
- Strong software engineering skills and proficiency in Python, including building APIs and backend services
- Experience with ML design and ML infrastructure, including model deployment, evaluation, and data processing, and working with machine learning frameworks and libraries
- Hands-on experience with deep learning and LLM application frameworks, including PyTorch, TensorFlow, LangChain, and LangGraph
- Hands-on experience building applications that leverage generative AI models, including prompt engineering and retrieval-augmented generation (RAG)
- Master's degree; or a PhD with relevant experience
- Experience with generative AI research or applications
- Experience building agent-based systems and working with orchestration frameworks
- Experience with cloud computing platforms and infrastructure (e.g., Azure, Google Cloud, or AWS), and scalable data processing with SQL or Spark
- Solid MLOps and LLMOps practices, including CI/CD, monitoring, and model lifecycle management
- Experience rapidly developing and shipping software in a fast-paced, customer-facing environment, adapting to changing priorities
- Understanding of responsible AI and governance for regulated or healthcare environments
Key skills
machine learning modelsstatistical methodsgenerative AILLM-powered applicationsAI agentsretrieval-augmented generation (RAG)searchAI-enabled automation
Keywords for your resumePro
The words this employer's screening is likely to look for.
This job lists resume keywords
The terms this posting uses, pulled out so you can mirror them in your resume. Jigup Pro members see the list on the job board.
See full description on company page, apply now
Read the full posting here
The Data Scientist, Consultant will develop and deploy novel applications that leverage machine learning models, statistical methods, and generative AI. This role focuses on rapidly developing new features and working across partner teams to deliver solutions and maximize impact, translating cutting-edge AI research into real-world products and taking features from 0 to 1. You will design, build, and ship production-grade AI products, including LLM-powered applications, AI agents and copilots, retrieval-augmented generation (RAG) and search, statistical models, and AI-enabled automation, embedded directly into customer-facing applications and enterprise workflows such as claims, payment integrity, clinical insights, and member experience.