Data Scientist

Washington, AR - USA

Monthly Salary: Not Disclosed

Posted on: 15-10-2025

Vacancies: 1 Vacancy

Job Summary

Job Title- Data Scientist

Project Location Onsite in Washington District of Columbia

Duration- 6 months contract

Visa- USC

Must have PHD

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 required.
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

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.

Job Title- Data Scientist Project Location Onsite in Washington District of Columbia Duration- 6 months contract Visa- USC Must have PHD Minimum Qualifications: Work or educational background in one or more of the following areas: machine learning computational linguistics deep learning r...