Sr Data Scientist
Sr Data Scientist
Posted on :
14-07-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
14-07-2025
Job Description
Position : Sr Data Scientist
Location : Reston VA/Washington D.C (Hybrid)
Term : W2/Full Time role
Duration : 12 Months
Exp. : 10 Years
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.
Very comfortable working with ambiguity (e.g. imperfect data loosely defined concepts ideas or goals)
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
Develop and maintain financial software applications. Work closely with the finance team to understand their needs and translate them into functional software. Test software to ensure responsiveness and efficiency. Identify prioritize and execute tasks in the software development life cycle. Collaborate with internal teams and vendors to fix and improve products.
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)
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
Develop and maintain financial software applications. Work closely with the finance team to understand their needs and translate them into functional software. Test software to ensure responsiveness and efficiency. Identify prioritize and execute tasks in the software development life cycle. Collaborate with internal teams and vendors to fix and improve products.
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
Employment Type
Full-time
Key Skills
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