Sr Data Scientist

• Work or educational background in one or more of the following areas: machine learning computational linguistics deep learning ratification intelligence data science and/or data analytic generative AI symbolic AI causal AI operations research computer science Mathematics business analytics or knowledge management.
• Demonstrated experience programming with R/Python Linux and Spark in AWS cloud environment or knowledge and algorithmic design experience in Python (3 years)
• Proficient with Amazon AWS Sagemaker Jupyter Notebook and Python Scikit Deep Learning Machine Learning tools such as TensorFlow
• Experience with image processing models such as Coco CLIP ResNet or comparable models
• Demonstrated experience with machine learning techniques including natural language processing and Large language Models (GPTv4-o1 o3 OpenAI APIs Llama Claude etc).
• Experience developing AI agents and development proficiency using agentic programming
• Proficient in Natural language processing (NLP) and Natural language generation (NLG) including prior projects in any of the following categories: top modeling of text sentiment analysis of text part of speech tagging Name Entity Recognition (NER) Bag of Words text extraction
• Experience building and working with any of these components: Vector DB BERT RoBERTa (or comparable tools) Spacy LLM and GenAI tools. Experience with LoRA LangChain RAG LLM Fine Tuning and PEFT Knowledge Graphs.
• Strong skills in developing GraphRAG Chain of Thought (CoT) Tree of Thought (ToT) Reinforcement learning and AI development architectures with Human-in-the-Loop (HITL
• Demonstrated experience with SQL and any relational database technologies such as Oracle PostgreSQL MySQL RDS Redshift Hadoop EMR Hive etc.
• Demonstrated experience processing structured and unstructured data sources data cleansing data normalization and prep for analysis
• Demonstrated experience with code repositories and build/deployment pipelines specifically Jenkins and/or Git/GitHub/GitLab.
• Demonstrated experience using Tableau or Kibana Quicksights or other similar data visualizations tools.
• Very comfortable working with ambiguity (e.g. imperfect data loosely defined concepts ideas or goals)

• Education: MS in Computer Science Statistics Math Engineering or related field PhD preferred
• 3 years of relevant experience in building large scale machine learning or deep learning models and/or systems
• 1 year of experience specifically with deep learning (e.g. CNN RNN LSTM)
• 1 year of experience building NLP and NLG tools.
• Experience with wide range of LLMs (Llama Claude OpenAI Cohere etc.) LoRA LangChain RAG LLM Fine Tuning and PEFT are preferred.
• Demonstrated skills with Jupyter Notebook AWS Sagemaker or Domino Datalab or comparable environments
• Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment
• Knowledge in Python and SQL object oriented programming service oriented architectures
• Strong scripting skills with Shell script and SQL
• Strong coding skills and experience with Python (including SciPy NumPy and/or PySpark) and/or Scala.
• Knowledge and implementation experience with NLP techniques (topic modeling bag of words text classification TF/IDF Sentiment analysis) and NLP technologies such as Python NLTK or Spacy or comparable technologies
• Knowledge and implementation experience with statistical and machine learning models (regression classification clustering graph models etc.)

• Hands on experience building models with deep learning frameworks like Tensorflow Keras Caffe PyTorch Theano H2O or similar
• Experience with LLM Agents Agentic programming
• Experience with search architecture (for instance: Solr ElasticSearch AWS OpenSearch)
• Experience with building querying ontologies such as Zeno OWL RDF SparQL or comparable are preferred
• Knowledge & experience with microservices service mesh API development and test automation are preferred
• Demonstrated experience using Docker Kubernetes and/or other similar container frameworks are preferred
• Strongly prefer a PhD in math computer science stat or comparable field with experience in data science AI development and deep learning advanced analytics

• Ability to translate business ideas into analytics models that have major business impact.
• Demonstrated experience working with multiple stakeholders.
• Demonstrated communication skills e.g. explaining complex technical issues to more junior data scientists in graphical verbal or written formats.
• Demonstrated experience developing tested reusable and reproducible work.
• Transparently documenting code and methodologies.
• Ability to work in Agile Lean and rapid development processes

Cloud BC Labs Inc is a digital transformation organization aimed at creating seamless solutions for clients to effectively manage their business operations. The company specializes in Business and Management Consulting AI/ML Data Analytics & Visualization Cloud Data Warehouse Migration Snowflake Implementation Informatica Implementation & Upgrade Staffing Services and Data Management Solutions