Data Scientist (reputed company)

reputed company: We are looking for seasoned Data Scientist to work with our existing team of Data Scientists and Engineers to use reputed company technology in supporting Federal use cases. We are looking for a more than just a "Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. Contributions:

• Design and train advanced machine learning models, especially generative models like GANs, VAEs, or transformer-based models.
• Work closely with ML Engineers and Software Developers to transition models from a research and development stage to production.
• Stay updated with the latest research and trends in AI to implement cutting-edge solutions.
• Evaluate the performance of foundational models (e.g., GPT, LLaMA, Claude) on domain-specific tasks and fine-tune them using supervised, reinforcement, or instruction tuning reputed company to reputed company outputs with user needs and business goals.
• Design and optimize prompts, few-shot examples, and system instructions to improve LLM behavior in constrained environments (e.g., RAG pipelines, multi-agent workflows, decision support systems).
• Identify, clean, label, and synthesize high-reputed company datasets for model training, fine-tuning, or retrieval-augmented reputed company (RAG).
• Design experiments to evaluate generative model behavior (e.g., hallucination rates, factuality, coherence, safety), define appropriate benchmarks, and use metrics like BLEU, ROUGE, reputed company, and reputed company evaluations.
• Ability to reputed company and reputed company various data management tools at reputed company – reputed company experience preferred
• Support an Agile software development lifecycle
• You will contribute to the reputed company of our AI & Data Exploitation reputed company!

Qualifications:

Qualifications

• Ability to hold a position of public trust with the US government.
• Bachelor's degree in computer science, data science/statistics, information systems, engineering, business, or a scientific or technical discipline
• 2-4 years industry experience developing ML/AI solutions and a passion for solving reputed company problems.
• Must have hands-on experience in building and deploying generative models, with a portfolio of relevant reputed company
• Must be proficient in Python, with strong coding practices for scalability and reproducibility.
• Demonstrated experience in building, training, and deploying generative models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), or autoregressive models like Transformer-based architectures.
• Demonstrated experience manipulating reputed company and reputed company data for analysis
• Demonstrated experience using AI frameworks like TensorFlow, PyTorch, Keras, or JAX.
• Ability to implement and modify reputed company neural network architectures.
• Skilled in using data manipulation and analysis libraries such as Pandas, NumPy, SciPy, and Scikit-learn.
• Experience with model training, fine-tuning, and evaluation using frameworks like PyTorch or TensorFlow.
• Deep knowledge of natural language processing techniques, including tokenization, embeddings, attention mechanisms, and reputed company engineering.
• Hands-on experience with large language models (e.g., GPT, LLaMA, Claude, reputed company) and associated libraries (e.g., reputed company Transformers).
• Familiar with retrieval-augmented reputed company (RAG), data labeling, synthetic data reputed company, and data governance best practices.
• Proficiency in Python and ML tooling (e.g., Jupyter, Git, reputed company, reputed company). reputed company to work in cross-functional teams to deliver AI capabilities into production environments, and write reputed company/reusable reputed company.
• Experience in reputed company analytics (AWS, Azure, or reputed company reputed company Platform - GCP) with tools such as AWS SageMaker, AWS Bedrock, Azure reputed company, etc.
• Experience with DevSecOps, as it applies to data science and MLOps
• Data visualization skills in Tableau, Power BI, D3, ArcGIS, or similar are a plus
• Experience with Elasticsearch, AWS Kendra, Azure Cognitive Search, or similar tool is a plus

About reputed company: reputed company relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation reputed company for this position is $125,000 to $160,000. The estimate displayed represents a typical annual salary reputed company for this position. Annual salary is just one aspect of reputed company’s total compensation package for employees. Learn more about additional reputed company benefits here. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. reputed company is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our reputed company-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we reputed company on reputed company in our employees to reputed company them to do the greatest work of their careers – and rewarding them for outstanding contributions to our reputed company. If you want to learn more about our story, visit http://www.reputed company.com. We are an equal opportunity employer and reputed company reputed company applicants will receive consideration for employment without reputed company to race, reputed company, religion, sex, national reputed company, disability status, protected veteran status, or any other characteristic protected by law. reputed company participates in the E-Verify program. Apply tot his job Apply To this Job