Data Scientist

Data Scientist

Client Honeywell

only USC

• Key Responsibilities:
• Develop and Deploy advanced Machine Learning, Reinforcement learning and Deep Learning Models/algorithms to enhance existing business processes with predictive and intelligent decision making.
• Processing, cleansing and verifying the integrity of structured and unstructured business data used for analysis.
• Analyze large amount of information to discover underlying trends and patterns that are relevant for solving business problems. Select features and perform proper data transformation to optimize datasets for building the models.
• Evaluate, visualize and communicate the AI/ML model results and correlation with business KPI's.
• Define clear and detailed data requirements for data engineers. Collaborate with data engineers on defining and building the end-to-end data pipelines.
• Work in a startup-type environment to design and build innovative applications using Automation, Machine Learning/Cognitive Service, business / functional proofs-of-concepts to scalable, production ready solutions across a strategic business group
• Actively lead, analyze and recommend highly complex business opportunities, through assessments/workshops, detailed data analysis/modeling and overall end-end solutioning to propose predictive, AI Driven solutions that drive the most business value with sustained impact.
• Research, actively experiment to stay abreast of the emerging ML and Cognitive Automation trends
• Work within project planning constraints, communicating any identified project risks and issues to the delivery/project manager and provide inputs to the change control process
• Help develop standard operation practices and support the Operations Teams through UAT and after go-live .
• Work closely with the operations team to change, optimize existing Automation and AI/ML processes and help build effective model performance monitoring, alert and notification framework to proactively identify problems/issues before business impact
• Partner and effectively communicate with Non-IT / Business users, functional counterparts and stakeholders to understand the underlying business problem, and work with the extended team to define and communicate the right technical solution
• YOU MUST HAVE
• Bachelors in Computer Science, Data Science or Engineering fields
• 5 plus years of IT experience in solution architect / data scientist / software development for large corporate/organizations
• 3 plus years of experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc
• 3 plus years of hands-on experience with Python and/or R programming and statistical packages, and ML libraries such as scikit-learn, Keras, TensorFlow, PyTorch, MXNet, etc, and/or natural language processing using NLTK, spaCy, Gensim, etc.
• 2 plus years experience in building IT use cases / solutions especially around AI/ML cognitive services, based on Clou"