About Us: At GE Oil & Gas Digital, we are creating technology and solutions to enable social, mobile, analytical and cloud capabilities for the Industrial Internet. The Industrial Internet is an open, global network that connects people, data and machines. It’s about making infrastructure more intelligent and advancing the industries critical to the world we live in. At GE, we believe it’s about the future of industry—energy, healthcare, transportation, manufacturing. It’s about making the world work better. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Role Summary: The Sr Staff Data Scientist – Security will be a key member of the Data Science & Analytics team in GE O&G Digital. You will lead teams as the data science expert addressing cyber security analytics. You will be responsible for the development and delivery of analytics products that conform to world class technology principles and maximize re-use and commercial opportunity.
You will work closely with Product Management & Strategy teams to arrive at the overall strategy & delivery plans of various features in the Asset Performance Management (APM) suite of products. You will be responsible for shaping security technology, product, and service roadmaps for image and video analytics in alignment with business strategy and blueprint. You will also be responsible for developing and coaching employees within the function.
As the Sr Staff Data Scientist – Security, you will:
Develop cyber security analytics strategy for the Oil & Gas industry and deliver differentiation for the O&G Digital products.
Provide thought leadership for security analytics for enterprise-grade applications
Participate in data science workouts to security analytics opportunities and identify opportunities to use data science to create customer value
Guide cross-functional teams to translate algorithms into commercially viable products and services.
Investigate and apply cyber security analytics using machine learning and deep learning techniques to create outcome summaries, and create high-fidelity modeling capabilities for various product requirements.
Guide and otherwise contribute to technical teams in development, deployment and application of applied analytics, predictive analytics and prescriptive analytics.
Architect and design self-learning systems that can detect intrusions and take mitigative actions based on information learned from a variety of data sources including time series data, images and videos.
Gather and analyze data, devise innovative data science solutions and build prototypes to enable development of security algorithms for solutions in scalable, product-ready code.
Initiate and propose unique and innovative security analytics product features, develop new and innovative algorithms and technologies, pursuing patents where appropriate
Stay current on published state-of-the-art algorithms and competing technologies.
Contribute to the development of software and security analytics delivery platforms that are service-oriented with reusable components across teams (multiple teams) that can be orchestrated together into different methods for different businesses.
Lead the research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support activities to for multiple teams or complex scenarios.
Provide leadership, technology guidance and mentors others throughout the domain.
Takes a holistic systems perspective to solve large-scale problems.
Envisions, compares and contrasts multiple potential long-range enterprise-wide futures.
Effectively drives consensus while empathizing with multiple points of view
Experience in one or more of the following areas: mobile and distributed systems/cloud computing security, protocols and network security, cryptography and cryptanalysis, cryptocurrencies, data and application security, malware and program analysis, user and data privacy, assurance and formal methods, and related fields.
MS Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math)
A minimum of 8 years of technical experience along with established leadership credentials across product lines.
With a minimum of 5yrs as a Data Scientist in security analytics.
Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job
Must be willing to work out of an office located in San Ramon, CA
Must be willing to travel roughly 5%of the time
PhD in computer science or in “STEM” Majors (Science, Technology, Engineering and Math)
Expertise in technical project management and a proven track record for delivering projects on time with limited budget and resources
Strong distributed systems and architecture knowledge, and experience with multitier architecture
Mission critical systems experience is preferred
Experience developing applications in an agile/DevOps environment would be a distinct advantage, including previous experience of writing code
Experience working in a Java web development shop
Solid understanding of software development tools & infrastructure
Proven experience in security analytics techniques and frameworks including deep learning frameworks
Experience coding in C/C++/Java/Python
Strong implementation experience with high-level languages and frameworks such as R, Python, Perl, Ruby, Scala, Apache Spark, Storm, SAS or MATLAB.
Demonstrated ability working with embedded systems
Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data
Experience with end-to-end modeling projects, from research to solutions to analytics products
Participates in enterprise strategy development, including environmental analysis, opportunity identification, value cases and business innovation portfolio development. Reviews and/or analyzes and develops architectural requirements at domain level, aligning architectural requirements with software development strategy.
Leads and facilitates the domain’s architecture governance process based on EA’s governance structure.
Create, analyze and manage projects that provide direct business benefit; demonstrate detailed knowledge of business operations and strategic direction, including merger & acquisition opportunities
Understand industry trends and competitive landscape and the implications for your GE business
Partner with business leaders to align projects with business goals and needs.
Develops the business case for approval.
Provides leadership, technology guidance and mentors others throughout their domain.
Facilitates dialogues that produce new perspectives and trigger recommendations for substantial innovative / enhancements, and analysis of consequences.
Participates with senior business leaders and subject matter authorities in defining strategies and courses of action that will impact the enterprise.
Challenges conventional thinking and traditional ways of operating and invites stakeholders to identify issues and opportunities.
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