Infosys Platforms/PLTIIPSD Principal Product Architect Data Scientist
Are you looking for a change? Do you want to collaborate with some of the best talent in the industry? Are you ready to join a company whose passion is to really make a difference to enterprises, the community and the world? Then you are the one that we are looking for to be part of our growing team.
Wanted: Global Innovators To Help Us Build Tomorrows Enterprise
In the role of Principal Product Architect, and part of our Platforms Team, you will work on defining and delivering next generation technology strategy and Product architecture for leading global organizations worldwide. You will be part of a small team of passionate Product architects who are ahead of the curve in identifying technology trends, disruptors and applying them to innovate and solve wicked problems. You will be working closely with the sales and delivery teams to drive solution for large and complex programs during presales stage, advise clients on best fit technologies, products and platforms, lead future state enterprise architecture definition and provide technology leadership, governance for the delivery of these programs. You will identify technology big bets, develop solution propositions around them, prototype and proactively take it to the market. In addition to this, you will also network and collaborate with CIOs, CTOs, Chief architects of client organizations, develop viewpoints on industry and technology trends influencing Product architecture, publish and speak in reputed industry and partner forums
Location for this positions is Palo Alto, CA. This position may require relocation and/or Travel
U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.
Basic Bachelors degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 13 years of experience in Information Technologies.
Preferred Statistical analysis: To understand and work around possible limitations in models; Being able to develop hypothesis and test the Hypothesis with careful experiments; Should have experience with time series modeling Should have experience with optimization approaches Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas. Able to program, preferably in different programming languages such as Python/ R/Java/Scala Strong experience in data manipulation using SQL/Hive/Impala Have an experience working on Hadoop with Spark Experience with Web scrapping and Web crawling Experience with Natural Language Processing or Natural Language Generation
The job entails an extensive amount of travel. The job also entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.
About Us Infosys is a global leader in technology services and consulting. We enable clients in more than 50 countries to create and execute strategies for their digital transformation. From engineering to application development, knowledge management and business process management, we help our clients find the right problems to solve, and to solve these effectively. Our team of 199,000+ innovators, across the globe, is differentiated by the imagination, knowledge and experience, across industries and technologies, that we bring to every project we undertake.
Infosys is a global leader in consulting, technology, and outsourcing and next-generation services. We enable clients in more than 50 countries to outperform the competition and stay ahead of the innovation curve. With US$8.83 bn in LTM Q1 FY16 revenues and 179,000+ employees, we are helping enterprises renew themselves while also creating new avenues to generate value. We provide enterprises with... strategic insights on what lies ahead. We help enterprises transform and thrive in a changing world through strategic consulting, operational leadership, and the co-creation of breakthrough solutions, including those in mobility, sustainability, big data, and cloud computing.