Auf einen Blick
- Aufgaben: Entwickle datengetriebene Lösungen und arbeite an spannenden analytischen Projekten.
- Unternehmen: Innovatives Unternehmen im Bereich Insights & Intelligence mit flexibler Arbeitskultur.
- Vorteile: Gesundheitsversorgung, bezahlte Freizeit, flexible Arbeitszeiten und jährliche Boni.
- Weitere Informationen: Hybrid-Remote-Rolle mit hervorragenden Karrierechancen und einem unterstützenden Team.
- Warum dieser Job: Nutze deine Datenanalysefähigkeiten, um echte geschäftliche Herausforderungen zu meistern.
- Qualifikationen: Mindestens fünf Jahre Erfahrung in der Datenwissenschaft und starke Python-Kenntnisse.
Das prognostizierte Gehalt liegt zwischen 90000 - 170900 € pro Jahr.
Northrop Grumman's Insights & Intelligence division is recruiting a Principal Data Scientist to drive analytical programs and deliver production-grade data science solutions that inform engineers, program managers, and leaders.
This remote-hybrid role emphasizes translating business challenges into rigorous analytics and strategic insights across the organization.
Responsibilities
- Collaborate with engineers, program managers, and subject-matter experts to scope problems, frame the right analytical questions, and translate business needs into robust data science strategies
- Break down complex problems with critical thinking, evaluate data quality and relevance, challenge assumptions, and design methods that address the business objective
- Develop statistical models, machine learning solutions, and analytical frameworks that yield actionable insights and guide operational decisions
- Build user-friendly, production-ready ML/AI applications (for example Streamlit, Dash) and analytic artifacts that deliver insights to teams across the enterprise
- Write production-grade Python code and assemble analytics pipelines on cloud platforms (AWS, Databricks) to support scalable, reproducible workflows
- Deliver insights through executive recommendations, analytical reports, interactive dashboards, and direct discussions with business leaders
- Own the technical quality and business impact of your work by making thoughtful methodological choices, validating approaches, and standing behind recommendations
- Stay current on analytical methods, statistical techniques, and domain-specific best practices to continually improve quality and impact
Requirements
- At least five years of hands-on experience in data science, data analysis, or related professional roles
- Strong proficiency with Python, SQL, and Git
- Solid understanding of statistical methods, machine learning algorithms, and selecting appropriate analytical techniques
- Experience developing and deploying machine learning models in production environments
- Proven ability to translate complex business problems into rigorous analytical frameworks
- Demonstrated problem-solving and critical-thinking skills to tackle complex analytical challenges
- Excellent communication skills with the ability to present actionable recommendations to non-technical stakeholders
- Proven ownership and accountability for technical decisions and project outcomes
- Technologies
- Python
- SQL
- Git
- Streamlit
- Dash
- AWS
- Databricks
- Py Spark
- Docker
Benefits
- Health insurance coverage
- Life and disability insurance
- Savings plan
- Company paid holidays
- Paid time off for vacation and/or personal matters
- Overtime eligibility
- Shift differential eligibility
- Discretionary bonus
- Annual bonuses
- Long-term incentives
- Relocation assistance
- No relocation assistance available
- Clearance required for start
- None
- Clearance type
- None
- Travel
- Yes, 10% of the time
- Work arrangement
This is a hybrid/remote role.
The majority of the team is based in the Northern Virginia area, but the organization operates primarily remotely and values flexibility.
The standard schedule is a 9/80, with nine-hour days Monday through Thursday and every other Friday off.
- Salary
- Location
- Remote (hybrid)
- Preferred qualifications
- Experience with AWS and Databricks for data processing and model development
- Experience with Py Spark for large-scale data transformation and analytics
- Proven experience building and deploying web-based visualization or decision-support tools (Streamlit, Dash)
- Knowledge of MLOps concepts and best practices for deploying models to production
- Understanding of containerization and cloud-based deployment
- Familiarity with advanced analytical techniques such as causal inference, experimental design, time series forecasting, optimization, or Bayesian methods
- Domain experience in program management, business management, operations research, earned value management, or financial forecasting
- Background in consulting or client-facing technical roles where ambiguous business problems were translated into technical solutions
- #J-18808-Ljbffr
Principal Data Scientist Insights & Intelligence Arbeitgeber: Northrop Grumman
Northrop Grumman Australia ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern nicht nur die Möglichkeit bietet, an bedeutenden Verteidigungsprojekten zu arbeiten, sondern auch eine Vielzahl von Vorteilen und Entwicklungsmöglichkeiten. Mit einem starken Fokus auf berufliche Weiterbildung, flexiblen Arbeitsmodellen und einem unterstützenden Arbeitsumfeld fördert das Unternehmen eine Kultur, in der jeder zählt und Vielfalt geschätzt wird. Die Standorte in Brisbane, Canberra, Adelaide und Sydney bieten zudem einen echten Vorteil bei den Lebenshaltungskosten, ohne auf hochqualitative Verteidigungsarbeit verzichten zu müssen.
