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- Tasks: Develop automated solutions and support NATO's strategic decision-making with data science expertise.
- Company: Veteran-owned tech company focused on innovative IT solutions for defence.
- Benefits: Comprehensive health coverage, 401(k), tuition assistance, and generous PTO.
- Other info: 100% onsite role with opportunities for professional development.
- Why this job: Join a mission-driven team making a real impact on global security.
- Qualifications: Master’s in Data Science and extensive experience in big data and AI/ML.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Who We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team).
Job Description: NATO HQ Supreme Allied Command Transformation (NATO SACT) is seeking contract support to access to leading-edge capabilities necessary to adapt to future threats, integrate advanced technologies to modernize the force, explore long-term military strategy to shape how NATO's forces will operate in the future, and promote interoperability between current and next-generation platforms. To support our NATO customer, SimIS seeks a Senior Data Scientist to apply business and data manipulation principles and methods to technical problems to arrive at automated solutions and support the development and integration of emerging technologies to support NATO force design and strategic decision making.
Education and Qualifications
- Master’s degree in Data Science, Computer Science, or Statistics.
- 8 years of data science experience in defense/security sectors.
- 5 years’ experience in designing, developing, and maintaining big data platforms/fabrics.
- Experience in AI/ML and predictive analysis applications.
- Expertise in Programming Languages: Python, R, SQL, Spark, TensorFlow/PyTorch.
- Expertise in Data Visualization tools (Tableau, Power BI, D3.js).
- Coding knowledge/experience: Java, JavaScript, C, C++, etc.
- A Data Science Professional Certificate is highly desirable.
Responsibilities
- Support cloud-based big data design and development requirements for software prototypes, systems, and applications.
- Provide cloud-based solutioning for internal R&D efforts to develop software prototypes and technical documentation.
- Evaluate R&D prototypes and develop software technical documentation, specifications, and user guides.
- Develop and evaluate data requirements, perform data analysis on large data sets, translate raw data into usable knowledge and information, and provide expertise on creating usable data constructs.
- Interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently; designs, develops and implements the most valuable business cloud solutions for the organization.
Benefits:
- Medical, Dental, and Vision
- Short-Term Disability (at no cost to you) & Long-Term Disability
- Life Insurance
- 401(k) Savings Plan
- Flex Spending Accounts
- Tuition Assistance Program
- Professional Development
- Paid Time Off (PTO)
- 11 Federal Holidays each year
SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer.
Senior Data Scientist (N) in Norfolk employer: SimIS
Contact Detail:
SimIS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (N) in Norfolk
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data science. We recommend doing mock interviews with friends or using online platforms. The more comfortable you are, the better you’ll perform when it counts!
✨Tip Number 3
Showcase your skills through projects! Create a portfolio of your work, especially those that highlight your experience with AI/ML and big data platforms. We love seeing real-world applications of your expertise, so make sure to share them during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who align with our values, so let’s get your application in!
We think you need these skills to ace Senior Data Scientist (N) in Norfolk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience in data science, especially in defence or security sectors, and showcase your skills in programming languages and data visualisation tools that match the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for SimIS and how your values align with theirs. Don’t forget to mention specific projects or experiences that demonstrate your expertise in AI/ML and predictive analysis.
Showcase Relevant Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's big data platforms or cloud-based solutions, showing off your hands-on experience can really set you apart from other candidates.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at SimIS
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in AI/ML and predictive analysis. Be ready to discuss your experience with programming languages like Python, R, and SQL, as well as your familiarity with big data platforms. They’ll want to see how you can apply these skills to real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges in the past. Think about times when you developed automated solutions or worked on cloud-based projects. This will demonstrate your ability to think critically and innovate, which is key for a Senior Data Scientist role.
✨Familiarise Yourself with NATO's Mission
Since you'll be supporting NATO, it’s crucial to understand their objectives and how data science can enhance their operations. Research NATO's current strategies and challenges, and be ready to discuss how your skills can contribute to their mission success.
✨Prepare Questions to Ask
Interviews are a two-way street, so come prepared with insightful questions about the company culture, team dynamics, and the specific projects you might be working on. This shows your genuine interest in the role and helps you assess if it's the right fit for you.