As Sr. Data Scientist I, you’ll lead efforts in model optimization using diverse network data sources. The ideal candidate will have strong experience in Python, modeling and simulation, and a deep understanding of data science principles. Familiarity with Army networking is a significant advantage. This role involves designing and optimizing models to analyze complex network systems, identify patterns, and develop actionable insights that enhance decision-making processes.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Analyze and preprocess network data to ensure it is suitable for modeling and simulation.
• Develop and optimize machine learning models to identify patterns, predict outcomes, and enhance network operations.
• Conduct simulations to evaluate the performance of proposed solutions in various network scenarios.
• Collaborate with engineering teams to integrate models into operational systems.
• Document and present findings to stakeholders, providing actionable insights and recommendations.
• Stay informed about emerging trends in data science, machine learning, and network optimization to incorporate cutting-edge techniques.
• Troubleshoot and resolve technical challenges related to data integration, modeling, or simulation.

What you’ll need to succeed:

• An active DoD Secret clearance
• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (Master’s or PhD preferred).
• 5+ years of experience in data science, with a focus on model development and optimization.
• Hands-on experience with Python for data analysis, modeling, and simulation.
• Experience working with network data sources
• Strong proficiency in Python and associated data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, MLFlow).
• Experience with simulation tools and techniques to model and analyze network systems.
• Solid understanding of machine learning concepts, statistical analysis, and algorithm design.
• Strong analytical and problem-solving skills, with attention to detail and accuracy.
• Ability to visualize complex data and present results clearly using tools such as Elasticsearch, Grafana, or Tableau.
• Excellent communication skills and the ability to convey complex technical information to non-technical audiences.