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• Identify and translate real world customer problems into feasible technical solutions and implement them independently
• Conceptualize, design and deliver high quality solutions and insightful analysis
• Work on gathering data and requirements, solution scoping and architecture, research and prototyping innovative models
• Build solutions by exploring data, building & validating models and deploying them to deliver maximum business impact
• Interact with both - internal and external stakeholders on a daily basis
• Handle multiple projects as an individual contributor and be a multiplier by actively mentoring other resources within the team
• Handle end to end project/product techno-functional solutions independently and provide guidance to other team members
• Be up-to-date with latest and best practices in delivering enterprise grade data science solutions
• Build credibility and trust with customers and project teams during project execution
• Demonstrate adaptability and flexibility to manage deadline pressure, ambiguity and change
• Continually enhance existing skills and seek new areas for personal development.
• Collaborate with product owner, architect, fellow developers, quality and user assistance specialists on design, architecture, hands-on coding, testing, etc. to deliver best solutions to our customers
• Work on the latest technology and ensure on-time, high quality solutions
• Embrace lean and agile software development principles
• Perform high-level analysis of any new requirements/change requests to the solution from a technical standpoint
• Analyze the impact of any new requirements on the existing solution
The Data Science Architect will collaborate closely with cross-functional teams including data scientists, analysts, and software engineers to implement efficient data solutions that drive business value.
• Solid understanding of the mathematics related to data science - probability, statistics, linear algebra etc.
• Extensive knowledge of various machine learning algorithms and concepts used to build predictive models
• In-depth knowledge of the following data science domains:
Text Analysis and Natural Language Processing
Neural Networks and Deep Learning
Signal Processing, Image/Video processing and recognition
Reinforcement Learning
• Hands on experience with computational packages (Numpy, Scipy, Pandas, Scikit-Learn, StatsModels, Keras, Tensorflow, etc.) and visualization tools
• Highly proficient in SQL and good knowledge of relational database
• Prior experience in deploying machine learning models into production
• Experience in working with GPUs to develop models
• Possess strong interpersonal and stakeholder management skills
• Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
• Strong written and verbal communication skills
• Demonstrated the ability to independently develop new concepts and stay current with academic research
• Experience in SAP modules along with Prior experience in cloud technologies like AWS, GCP, etc.
• Publications or presentations in recognized Machine Learning and Data Mining journals/conferences
Requirements:
EDUCATIONAL QUALIFICATION
Master’s or PhD degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) preferably from a reputable institution like IITs, IISc, or equivalent
WORK EXPERIENCE
15-20 years of industry experience with minimum of 5 Years experience as Data Science Architect
Job Segment:Cloud, ERP, Testing, Data Architect, Developer, Technology, Data
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