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, PyTorch, 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 Matplotlib and panel
- Strong familiarity with data and visualization tools such as Elasticsearch and Grafana
- Excellent communication skills and the ability to convey complex technical information to non-technical audiences.
Like we said, we are big fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.
What we want you to know:
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
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What We Do
MetroStar is a digital services and management consulting company specializing in emerging technologies within the public sector. MetroStar is a mission accelerator - we embrace disruptions in tech to propel progress. Through our user-centric capabilities, we create new paths to government innovation and shape thoughtful outcomes for the people.
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