Data Scientist III

Posted 8 days agoViewed

💎 Seniority level: Senior, 3+ years

📍 Location: Remote or State College, PA

🔍 Industry: Weather services

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: PythonData AnalysisImage ProcessingKerasMachine LearningMLFlowNumpyPyTorchPandasTensorflow

3+ years of experience in applying machine learning and deep learning algorithms (CNNs, GANs, LSTMs, etc.).
A strong interest and passion for image processing, feature extraction, object detection and recognition, image classification, and motion analysis.
Experience with Python (especially Numpy, Pandas, and Scikit-learn) and the main deep learning frameworks (MLflow, TensorFlow, PyTorch, Keras, Jax, etc.).
Strong background in mathematics, including statistics and optimization.
High level of critical thinking and analysis to resolve complex challenges effectively.
Ability to make prompt, sound decisions faced with complex alternatives.
Self-driven with strong problem-solving skills and adaptability.
Strong verbal and written communication skills along with excellent collaboration abilities.

Build and train complex machine learning models leveraging AccuWeather’s extensive data archives towards the prediction of weather phenomena.
Regularly present model findings and verifications along with areas for further refinement.
Assemble large, complex data sets that align with business requirements, ensuring data integrity and quality.
Perform extraction, transformation, loading, and optimization of data from various sources.
Work closely with internal and external stakeholders including product and executive teams.
Deploy machine learning and deep learning models into production environments.

Posted 3 months ago

📍 United States

🔍 Healthcare

Four (4) plus years of experience working with large disparate data sets, using quantitative and qualitative analysis to derive business insights and leverage ML.
Healthcare data experience is required. EMR (Epic, Cerner) or EDI (claim and remittance) is strongly preferred.
Python and SQL experience required. R experience is a plus.
Experience with feature engineering and creation is required.
Experience with supervised ML is required, including tree-based ML (Random Forest, GBM, XGBoost, etc.).
Experience with unsupervised ML and encoding is strongly preferred (clustering, Transformers, LSTM, etc.).
Strong communication skills, both oral and written.
Must be a team player and willing to collaborate and assist members of the team.
An advanced degree (MS or higher) in applied data science, statistics, economics, computer science, or a related field is preferred.
AWS Cloud experience is a plus.
Snowflake experience is a plus.

Act as a key contributor to the development of Sift’s current RevCollect Denials Prioritization ML products and pipelines.
Operationalize ML for client launches.
Develop ML pipelines for new product features.
Enhance ML through attribute ideation and creation.
Investigate and manipulate large datasets to uncover and resolve issues.
Contribute to Sift’s ML Ops initiatives.
Work and communicate effectively across teams.

PythonSQLMachine LearningData scienceCommunication Skills

Posted 3 months ago

Posted 3 months ago

📍 United States

🧭 Full-Time

💸 $148,750 - $175,000 per year

🔍 Healthcare technology

🏢 Company: Cedar👥 101-250💰 $68,361,000 Series D about 2 years ago🫂 Last layoff over 2 years agoMedical Billing Payments Health Care FinTech

5+ years of work experience in data/ML/AI (must-have), including 1+ year of experience applying Large Language Models (or significant side projects using LLMs and GenAI technology).
Deep understanding of best practices in AI, such as effective prompt engineering techniques, chaining, retrieval, vector search, fine-tuning of LLMs.
Up to date with the latest advancements in generative AI and applying these advancements to ongoing projects.
Experience in processing, annotation, and augmentation of natural language data to create high-quality datasets.
Expertise in both SQL and Python is required.
Has shipped production algorithms to customers and has an understanding of software engineering principles.
A mindset focused on growth and learning.

Develop a deep understanding of Cedar’s data and create curated datasets using a variety of inputs (including audio data, unstructured natural language data, structured data).
Design and develop AI-powered features to enhance servicing solutions (e.g. chatbots, virtual assistants, automation of workflows) and improve the patient experience (e.g. AI-generated bill explanations, guidance on options to improve bill affordability).
Define and utilize evaluation frameworks to rigorously test, monitor, and measure the performance of LLMs and other models.
Collaborate closely with stakeholders in engineering and product to productionize AI solutions.
Research customer workflows and stay up-to-date with advancements in AI technologies to identify new opportunities for applying AI to drive business value.
Present and clearly communicate on your technical approach, methodology, and results to partners across all levels of the organization.
Keep Cedar up-to-date with advances in AI through demos, L&D sessions.

PythonSQLArtificial IntelligenceProduct DevelopmentAlgorithmsData science

Posted 3 months ago

🔧 Requirements