Location : San Jose, United States of AmericaThales people architect identity management and data protection solutions at the heart of digital security.
Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more.
More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.
TOGETHER WE MAKE THE BIG AMBITIONS OF TOMORROW HAPPEN TODAY
Guavus is an analytics company solving some of the largest and more complex problems in the world. We hire people who are ready to work on some of the greatest challenges in telecommunications, security, avionics and transportation and make an impact on millions of users.
At Guavus data scientists routinely work on massive scalable, large-scale applications and models. Our production deployment experience in complex, massive networks around the globe coupled with our deep expertise in analytics applications and artificial intelligence development delivers proven solutions to improve customer experience, reduce costs, and achieve the scale and security required by the Internet of Things (IoT).
A Sr. Scientist at Guavus is responsible for transforming an innovation idea or customer stated business need into a precise technical problem / hypothesis and leading the design and execution of a data mining / machine learning / machine intelligence solution.
This includes designing a set of measurements, validating datasets, creating and driving the implementation of the analytics solution.
This is a highly technical role that is focused on enabling customers to create real, practical value through advanced analytics on their streaming data, both structured and unstructured.
Sr. Scientists work closely with our product, engineering and field teams and represents the company in analytics discussions with customers and partners.
Typical activities involve building statistical and mathematical models from multiple data sources to provide advanced analytics results that are communicated via dashboards or directly to machines for action.
Scientists have to demonstrate an ability to create novel, mathematically sound algorithms, perform proof of value and write production quality code to move the research into production.
He / she would help in the development of solutions to significant problems in a scientific and / or business data analysis domain.
The position will reside in either San Jose, California or Montreal, Canada
Key Responsibilities :
Develop customers’ and internal ideas in to solvable technical problems and create analytics solutions, identify state of the art techniques to solve the problem
Quickly design and conduct tests with the associated data to ascertain a proof of value.
Lead team members and contribute to implementations which convert the business problem definition into validated and productizable results
Build predictive and / or prescriptive models in Java / Scala
Own core machine learning / intelligence algorithms and designs in our product lines.
Must be self-driven and capable of prioritizing, organizing, and managing a substantial workload as well as supervising the work of others
Participate in the creation of mathematically based algorithms for use in the predictive and prescriptive, streaming analytics of high volume and high velocity data
Document data analysis work and results
Present results to colleagues, customers, and partners
Mentor team members
Work effectively in a globally distributed team
Required Skills and Experience :
Ph.D. in Science, Statistics or similar technical field plus a minimum of 3 years of experience, 5+ years of experience preferred OR a Masters degree with a minimum of 5 years of experience, 7+ years of experience of preferred.
Prior research evidencing a strong mathematical background and / or heavy emphasis on data analysis including data mining / machine learning / machine intelligence
Algorithmic understanding of advanced machine learning methods coupled with industry experience applying to business situations
Expert knowledge of SQL and at least one of Java, Scala or Python
Self-driven with the ability to collaborate as a respected domain expert in a multidisciplinary technical team
Excellent oral and written communication skills, including the ability to present effectively to both business and technical audiences
Preferred Skills and Experience :
Business understanding of telecom domain, telecom networks is a plus
Understanding of ROI and TCO models is preferred not required
Patents, papers and track of record of academic achievements is a plus
Must be flexible for travel internationally ( 10%)
Are you ready to be part a part of something big? If your skills, experience and attitude are a match and you’re looking for an exciting challenge, please apply now using the link below and we will be in touch.
At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields.
Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!Thales champions inclusion and we believe diversity strengthens the fabric of our culture.
We are an Equal Opportunity Employer / AA / Minorities / Females / Veterans / Disabled.