Senior Data Scientist

Ciklum

31d

About The Position

Ciklum is looking for a Senior Data Scientist to join our team full-time in the
US .

We are a custom product engineering company that supports both multinational
organizations and scaling startups to solve their most complex business
challenges. With a global team of over 4,000 highly skilled developers,
consultants, analysts and product owners, we engineer technology that redefines
industries and shapes the way people live

About the role:

As a Senior Data Scientist, become a part of a cross-functional development team
engineering experiences of tomorrow.

Client is building an Agentic AI health platform to focus on risk stratification
for chronic diseases by creating a value based PMPM model to increase longevity
by attacking these conditions. As their main goal is to focus on lifestyle based
pathways,
they are starting with weight loss management and diabetes.
Need is to establish a team who can work with in US and come to customer
meetings with him to lay out Data analytics, population health risk
stratification and other thoughts.

Requirements

• Solid understanding of object-oriented design patterns, concurrency/multithreading, and scalable AI and GenAI model deployment
• Strong programming skills in Python, PyTorch, TensorFlow, and related libraries
• Proficiency in RegEx, Spacy, NLTK, and NLP techniques for text representation and semantic extraction
• Hands-on experience in developing, training, and fine-tuning LLMs and AI models
• Practical understanding and experience in implementing techniques like CNN, RNN, GANs, RAG, Langchain, and Transformers
• Expertise in Prompt Engineering techniques and various vector databases
• Familiarity with Azure Cloud Computing Platform
• Experience with Docker, Kubernetes, CI/CD pipelines
• Experience with Deep learning(), Computer Vision(), CNN, RNN, LSTM
• Experience with Vector Databases (Milvus, Postgres, etc.)(), Database Technologies

Responsibilities

• Sr Health Informatics/Data Scientists: deeply technical in statistical analysis, data science and ML algorithms; hands-on experience with Python to build data models specific to Risk Stratification and RISK TIER migration in US healthcare; familiar with reimbursement codes for Medicare, Medicaid, etc
• Health informatics leader - data analytics, architect, pop health, risk stratification, risk modeling - part time is ok if full time is not available - this will be the key person here for him. he/she needs to be. in customer meetings with him
• Collaborate with engineers, data scientists, and BA to understand requirements, refine models, and integrate LLMs into AI solutions
• Embed generative AI solutions into consolidation, reconciliation, and reporting processes
• Dev and implementation of Deep learning algorithms for AI solutions
• Stay updated with recent trends in GENAI and apply the latest research and techniques
• Preprocess raw data, including text normalization, tokenization, and other techniques, to make it suitable for use with NLP models
• Setup and train LLMs and other state-of-the-art neural networks
• Conduct thorough testing and validation to ensure accuracy and reliability of model implementations
• Perform statistical analysis of results and optimize model performance for various computational environments, including cloud and edge computing platforms
• Perform model audits to identify and mitigate risks
• Monitor and optimize generative models for performance and scalability

Benefits

• Strong community: Work alongside top professionals in a friendly, open-door environment
• Growth focus: Take on large-scale projects with a global impact and expand your expertise
• Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
• Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
• Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company’s Benefit Plans

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed