Senior Data Science Engineer (With TS/SCI Clearance and a current Full Scope Poly)

J&T Business Consulting

Annapolis Junction, MD, United States

19 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$245,000.0

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Automation of Tests Microsoft Azure C++ (Programming Language) Cloud Computing Code Review Computer Programming Continuous Integration DevOps Apache Hadoop

+27 more

Python (Programming Language) Machine Learning NoSQL Tensorflow Azure Machine Learning Search Technologies SQL Databases Google Cloud Feature Engineering Data Ingestion Pytorch Large Language Models Apache Spark Generative AI Git Scikit Learn Kubernetes Information Technology Data Analytics Xgboost Integration Frameworks Apache Kafka Machine Learning Operations Software Version Control Data Pipelines Software Library Docker

Job description

Design, build, and deploy machine learning models and data science solutions in production.
Develop scalable data pipelines for data ingestion, transformation, and feature engineering.
Build and maintain end-to-end ML workflows, including model training, evaluation, deployment, and monitoring.
Analyze large, structured, and unstructured datasets to identify trends and business opportunities.
Collaborate with product managers, software engineers, data engineers, and business stakeholders to define data-driven solutions.
Optimize machine learning algorithms for performance, scalability, and reliability.
Implement MLOps best practices, including CI/CD pipelines, model versioning, automated testing, and monitoring.
Ensure data quality, governance, security, and compliance with organizational standards.
Mentor junior data scientists and engineers through technical guidance and code reviews.
Stay current with emerging AI, machine learning, and cloud technologies and recommend innovative solutions.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
5-8+ years of experience in data science, machine learning, or AI engineering.
Strong programming skills in Python (required); experience with SQL and one additional language (Java, Scala, or C++) is a plus.
Experience with machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
Strong understanding of statistics, predictive modeling, optimization, and feature engineering.
Experience with data processing frameworks such as Spark or Hadoop.
Proficiency in SQL and working with relational and NoSQL databases.
Experience deploying machine learning models using cloud platforms (AWS, Azure, or Google Cloud).
Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
Experience with Git, CI/CD, and DevOps practices.
Excellent analytical, communication, and problem-solving skills., * Experience with generative AI, large language models (LLMs), retrieval-augmented generation (RAG), or AI agents.
Knowledge of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
Experience with streaming platforms such as Kafka.
Familiarity with vector databases and semantic search.
Cloud certifications or machine learning certifications.
Experience leading technical projects or mentoring engineering teams.