, Colorado

Infosys is seeking a Senior Data Scientist for its AI and Automation team. In this role, you will help manage Cognitive Automation Projects, participate in requirements gathering sessions, and work with team members to identify requirements such as AS IS Process and automation opportunities. You'll articulate and explain the architecture options to a technical audience (IT), including advantages and constraints. You will apply knowledge of technologies, applications, methodologies, processes and tools to manage end to end automation projects.

Required Qualifications:
  • Bachelor’s Degree or foreign equivalent, will also consider three years of progressive experience in lieu of every year of education
  • At least 11 years of experience with Information Technology
  • At least 3 years of experience in Python programming framework, Python for ML, Data Ingestion framework, Data consolidation using Python and frameworks.
  • U.S. Citizenship or Permanent Residency required, we are not able to sponsor at this time

Preferred Qualifications:
  • Experience managing full lifecycles of model deployment from problem definition to continued support
  • Strong knowledge in object-oriented concepts, data structures and algorithms
  • Good experience in end-to-end implementation of Machine Learning projects
  • Excellent ability to effectively communicate complex information to both technical and non-technical audiences
  • Knowledge and experience with full SDLC lifecycle
  • Experience with Lean / Agile development methodologies
  • At least 2 years of experience in statistical analysis, data mining, machine learning algorithms and their application in various industries
  • Experience in NLP (Natural Language Processing) and/or Computer Vision
  • Experience in a combination of the following modeling methods: Linear Regression / Partial Least Square Regression / Logistics Regression / Survival analysis / Repeated measures analysis /Principle component analysis / Decision tree / Support Vector Machine / k-means clustering / Neural Networks
  • Experience in core Python tools including: Pandas, Numpy, Scikit-Learn, Tensorflow, Pytorch, or other machine learning platforms
  • Experience or certifications in cloud platforms such as GCP ML, AWS, Azure ML
  • Familiar with one of the following databases: SQL Server, Oracle, Netezza, Teradata, MySQL
  • Experience with one of the Big Data platforms (Hadoop, Splunk, Cloudera, BigInsights, MapR, HortonWorks)
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation.
With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EOE/Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity/National Origin

, Colorado

Infosys was started in 1981 by seven people with $250. Today, we are a global leader in consulting, technology and outsourcing with revenues of $7.126 billion (LTM Q2 FY13). Many of the world’s most successful organizations rely on Infosys to deliver measurable business value. Infosys provides business consulting, technology, engineering and outsourcing services to help clients in over 30 countries build tomorrow’s enterprise.

Our award-winning Infosys Labs and its breakthrough intellectual property can be leveraged as a co-creation engine to accelerate innovation across the enterprise.

Infosys pioneered the Global Delivery Model (GDM), based on the principle of taking work to the location where the best talent is available, where it makes the best economic sense, with the least amount of acceptable risk. Continued leadership around GDM enables Infosys to drive extraordinary efficiencies and free up clients’ resources for strategic transformation or innovation initiatives.

Infosys has a global footprint with 66 offices and 69 development centers in US, India, China, Australia, Japan, Middle East, UK, Germany, France, Switzerland, Netherlands, Poland, Canada and many other countries. Infosys and its subsidiaries have 153,761 employees as on Sep 30, 2012.

Infosys takes pride in building strategic long-term client relationships. 98.2% of our revenues come from existing customers (Q2 FY 13).

Infosys gives back to the community through the Infosys Foundation that funds learning and education.

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