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

J&T Business Consulting
Jessup, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 245K

Job location

Jessup, United States of America

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Automation of Tests
Azure
C++
Cloud Computing
Code Review
Computer Programming
Continuous Integration
DevOps
Hadoop
Python
Machine Learning
NoSQL
TensorFlow
Azure
Search Technologies
SQL Databases
Google Cloud Platform
Feature Engineering
Data Ingestion
PyTorch
Large Language Models
Spark
Generative AI
GIT
Scikit Learn
Kubernetes
Information Technology
Data Analytics
XGBoost
Integration Frameworks
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.

Apply for this position