Senior Manager, Data Science
San Ramon, CA
October 27, 2016
Position Type:
Full Time
Information Technology
About Us:

Desired Characteristics (continured):

Personal Attributes:

+ Uses critical thinking skills and disciplined approaches to help leaders and leadership teams resolve issues and define solutions. Evangelizes and contributes to the GE standards for critical thinking best practices and methodologies across the enterprise. Defines new critical thinking methods. Engages with external thought-leaders and communities on analytical and critical thinking methodologies

+ Excellent communication skills and the ability to interface with senior leadership with confidence and clarity

+ Evangelizes the notion that anything worth doing takes repeated effort and failure. Drives the organization toward a continued excitement of attaining the vision and goal in the face of resistance

+ Innovates and integrates new processes and/or technology to significantly add value to GE. Identifies how the cost of change weighs against the benefits and advises accordingly. Proactively learns new solutions and processes to address seemingly unanswerable problemsGE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.

At GE 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.

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GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at . 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.

Essential Responsibilities:

As the Senior Manager, Data Science, you will apply your knowledge of management, analytic development methodologies, best practices and proven processes to deliver analytic service and product commitments directly and through your team of data scientists. You will guide, lead, and work in teams as technical domain expert addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.

In this role, you will:

+ Lead a team of Data Scientists to develop, verify, and validate analytics to address customer needs and opportunities

+ Provide technical project and program oversight to ensure appropriate technical rigor is applied to Data Science engagements

+ Guide cross-functional teams to translate algorithms into commercially viable products and services.

+ Guide and otherwise contribute to technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.

+ Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value

+ Demonstrate very strong technical leadership and people management skills including solid communication and analytical skills with thorough understanding of analytic discovery and development practices, problem definition, decomposition, estimation and resolution

+ Support process improvements which guide the development, sustaining & support activities

+ Work cross functionally with other Data Science Leadership to align activities and deliverables

+ Drive world-class quality in the development and support of service offerings and products

+ Communicate effectively both within immediate team and GE leadership. Ensure team receives consistent messages and has clear understanding of business direction, strategy and results


+ Masters Degree in Computer Science or in "STEM" Majors (Science, Technology, Engineering and Math)

+ A minimum of 2 years of functional management with direct reports in a data/data science development, or data science product development organization.

+ A minimum of 10 years of professional experience in Data Science

Eligibility Requirements:

+ Legal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills. Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen

+ Must be willing to travel 10%

+ Must be willing to work out of an office located in San Ramon, CA

Desired Characteristics:

Technical Expertise:

+ Recognizes patterns and complexity in problems. Extracts decomposition algorithms, and strategically plans how to execute programs by understanding how best to decompose to expose / protect against risk

+ Demonstrates expertise in big data systems, architectures, and environments (e.g., Hadoop, Spark) and emerging trends in data science methods and tools (e.g. deep learning).

+ Demonstrates expertise in methodologies used to expose value in big data and subsequently develop analytic models and solutions to leverage identified opportunities in production environments.

+ Demonstrated expertise in translating customer need into data and analytics requirements

+ Demonstrated expertise in the design, development, verification, and validation of descriptive, applied, predictive, and prescriptive analytics for industrial applications

+ Demonstrated expertise in one or more development tools and languages (e.g., R, Python)

+ Demonstrated expertise in one or more industry sectors where GE operates (i.e., Aviation, Oil & Gas, Power & Water, Transportation, Mining, Healthcare)

+ Ph.D

Business Acumen:

+ Demonstrated expertise in partnering with cross-functional colleagues to deliver customer value, from initial engagement, through deliverable handoff and/or product release and support.

+ Evangelizes new technology, predicts trends, and identifies new opportunities based on trends. Acts as industry expert by participating in defining standards and open source initiatives

+ Creates a culture of customer focus and high performance to drive innovation. Creates and pitches value for the GE investor while balancing that with the sometimes competing value for the external customer. Continuous engagement with focus on GE strategy for customer satisfaction

+ Demonstrated influencing and negotiating skills for navigating between conservative engineering design and analysis methodologies and emerging iterative data-driven methodologies.


+ Establishes framework for a culture of successful collaboration by defining a common understanding of who has decision rights and accountability, and how collaboration and transparency are rewarded

+ Establishes vision, Identifies and champions internal/external best practices, tools, and ideas to improve execution and quality. Drives an organization of efficiency, accountability and ownership

+ Able to verbalize what is behind decisions and downstream implications. Continuously reflecting on success and failures to improve performance and decision-making. Understands when change is needed. Participates in technical strategy planning


Locations: United States ; California; San Ramon

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at . 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.
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