Data Scientist
Role details
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Tech stack
Job description
Join HOPPR as a Data Scientist and play a pivotal role in shaping the future of multimodal AI in medicine. Collaborate with researchers, engineers, and clinicians to enhance data infrastructure and develop impactful solutions with vast amounts of unstructured datasets like radiology scans, patient reports, and electronic health records (EHRs). You'll tackle complex challenges and drive innovations that transform patient care., * Design and develop robust pipelines using advanced methods with large language models (LLMs) to extract features and label data from unstructured datasets
- Create and implement rigorous evaluation metrics to assess feature extraction processes, ensuring continuous improvement aligned with clinical and product goals.
- Enhance and maintain scalable, reproducible data science infrastructure to support agile development and secure operations across partitioned client environments.
- Design and implement MLOps practices to streamline, scale, and automate machine learning workflows.
- Manipulate, analyze, and manage large-scale datasets using Python, SQL, and other tools.
- Work closely with engineers, clinicians, and product teams to ensure data solutions are aligned with user needs and drive meaningful outcomes.
- Thrive in a dynamic and rewarding environment that emphasizes excellence, autonomy, and impact., As an NLP Data Scientist, you'll work on various projects involving NLP and LLMs, developing models with unstructured workplace data and collaborating with cross-functional teams. Top Skills: AWSBedrockGensimHuggingface TransformersNltkPandasPyarrowPythonScikit-LearnSpacyStatsmodels Optum
Requirements
- Master's or PhD in Computer Science, Engineering, Data Science, or a related field. Senior and Principal roles considered based on experience.
- 1+ years of professional data science experience, with a proven ability to train, evaluate, and deploy machine learning models, including large language models.
- Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow), as well as experience with data manipulation tools like SQL, pandas, or NumPy.
- Familiarity with ML Ops practices and deploying models into production pipelines (preferred).
- Knowledge of healthcare data, such as radiology images or EHRs, is a plus.
- Strong ownership mindset, entrepreneurial spirit, and product-focused approach to solving impactful problems.
Benefits & conditions
- Competitive base salary + equity.
- A key role in a fast-growing startup with immense potential.
- Generous benefits: medical/dental/vision, 401k, PTO, and parental leave.
- Remote first with hybrid options available at our NYC and SF Bay Area offices.
- An innovative, collaborative, and supportive work environment.
- Incredible teammates who inspire growth and learning.
HOPPR is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Important Note: This opportunity is open exclusively to US citizens and permanent residents. We kindly request that recruiters and agencies refrain from contacting Dr. Khan Siddiqui or any HOPPR team members directly regarding this role. Unrequested outreach from recruiters will not be entertained or responded to. Thank you for respecting this directive and helping us maintain a focused and efficient hiring process., 4 Days Ago Remote or Hybrid 161K-175K Annually Mid level 161K-175K Annually Mid level Big Data * Consumer Web * Fintech * Mobile * Payments * Social Impact * Financial Services The Data Scientist will evaluate new data sources, enhance model governance, develop analytical tools, and collaborate with teams to support decision-making and operational efficiency. Top Skills: PythonSQL, Workhuman, 12 Days Ago In-Office or Remote 113K-193K Annually Senior level 113K-193K Annually Senior level Artificial Intelligence * Big Data * Healthtech * Information Technology * Machine Learning * Software * Analytics As an Associate Actuarial Director / Data Scientist, you'll conduct hospital claim re-pricing studies, develop SAS/Python solutions, and communicate findings. Focus on data extraction and analysis within healthcare environments is essential. Top Skills: CloudPythonSAS
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