Senior Data Scientist

Company Overview:CBC 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.

Job Description

Position : Sr. Data ScienceLocation : Reston, VA (hybrid)Term : W2/Full Time role onlyVisa : Any Visa Job Description :

Minimum Qualifications:

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.

• Qualifications & Requirements

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.)

Preferred Qualifications

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

Additional Job Qualifications:

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*

• Qualifications & Requirements 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.) Preferred Qualifications 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 analyticsAdditional Job Qualifications: 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

Job Types: Full-time, Contract, Temporary

Pay: $100,000.00 - $200,000.00 per year

Benefits:

• Health insurance

Schedule:

• 8 hour shift

Work Location: Remote