Senior Data Scientist
Remote-NZ
You’ll build machine learning models that matter. Your work will impact the lives of over a million patients, you’ll support clinicians across the US and will help drive Vital forward.
This is a full time, permanent position and can be based anywhere in New Zealand or the United Kingdom. Vital has embraced a remote-first way of working, and you can read more about how we achieve this, here.
Vital's software keeps patients informed during an ER or Hospital visit: AI-powered wait time estimation and medical to English translation, human-centered explanation of lab results, clinical decision support tools and more!
We’re having an impact on one million patients each year, and growing. The opportunity to help us scale Vital further is yours for the taking. Check out our dedicated Engineering career hub to learn more about each of our teams, and how we work together.
Machine Learning at Vital
- The Machine Learning team is responsible for all Machine Learning research and delivery at Vital. Our ML Models are built to improve patient experience, make clinicians more effective and to support medical providers.
- We build & serve machine learning models using a modern, serverless stack. We use Chalk for featurization, Databricks as our data warehouse, Jupyter Notebooks for model development and serve applications on AWS.
- We work closely with product, and other engineering teams, who are based across New Zealand, the United States and the United Kingdom.
Responsibilities
- Ideate and develop machine learning models that solve real world problems for patients and clinicians
- Design and execute experiments to validate the impact of new techniques e.g. embedding optimizations on model quality and performance.
- Develop strategies for launching and measuring success of machine learning models in partnership with our Product Managers.
- Explore large and complex data sets to identify patterns, trends, and insights to guide model development
- Contribute to the development of tools and infrastructure that support efficient training and evaluation of models and embeddings.
- Demonstrate an ability to communicate at different levels for audiences with varying levels of technical background, such as to our Client Success, Medical, or Customer Support teams.
Experience
- Evidence of excellent technical ability.
- Experience delivering impactful engineering projects or research using embeddings or NLP, preferably both. Come prepared to talk about this.
- Experience with Python, and potentially machine learning technologies like PyTorch, TensorFlow, CUDA.
- Experience with SQL, and technologies like Databricks, featurisation platforms and business intelligence (BI) platforms.
- Experience with AWS services.
- Experience leading the technical delivery of machine learning projects, either independently or as part of a team.
- Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience).
Benefits
- Every team member at Vital gets to share in our success in the form of stock options.
- We’ll provide you with the equipment you’ll need to work remotely or in a shared office space.
- Annual L&D budget to support your career development & a stipend for your home office set up!
- Employee Assistance Program to support your wellbeing.
- Paid Parental Leave
- We’re working on problems which have a real impact on people’s lives. When we succeed, patients get better care.
- Diversity, Equity, and Inclusion are important to us. Every team member must abide by our shared code of conduct. We believe this approach will help us attract and grow a diverse bunch of talented people that are supportive, calm, clear, empathetic, and results-oriented.
- We prefer working smarter, not longer. You're not expected to put in wild hours, that's just not what we do.
- We're constantly improving our systems and processes, and you'll be expected to continue to shape this as we journey together.
Culture & Screening. This is where you introduce yourself, and we introduce ourselves and the company, explaining what we're about, why we're doing what we're doing, and the type of person we're looking for.Technical. This is where we'll sit with you to talk about technical problems relevant to the role you're applying for, looking to see if you can demonstrate the skills required to fulfil the role.Executive. This is where you get to meet our leadership team and ask questions about the company and its founders/leadership team.
We are committed to providing all candidates with constructive feedback during this process.
Vital was founded with the goal of providing modern healthcare software to providers and patients everywhere, regardless of identity or circumstances. We’re striving to build a diverse and inclusive team who are equally as passionate about our mission as we are - that being said, if you are excited about improving healthcare and patient experiences, but don’t think you tick every box in our job ad, please still consider applying - we’d love to hear from you.
Vital is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive culture and celebrate authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, or any other legally protected characteristics.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Business Intelligence Computer Science CUDA Databricks Data warehouse Engineering Jupyter Machine Learning ML models NLP Python PyTorch Research SQL TensorFlow
Perks/benefits: Career development Equity Gear Home office stipend Medical leave Parental leave
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Data Manager jobs
- Open Data Science Manager jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs