Provide expert advice on identifying patterns in data. This includes having a keen sense of pattern detection and anomaly detection.
Machine learning & Deep Learning: Hands on experience
Experience with Natural Language Processing techniques
Hands-on experience with SQL
Hands on in statistical software packages (e.g., R, Python, SAS or SPSS)
At least one cloud platform experience ( E.g. Azure , AWS or GCP )
Exposure to Natural Language Generation
Data storytelling: Communicate actionable insights using data, often for a non-technical audience.
Business intuition: Connect with stakeholders to gain a full understanding of the problem at hand
Interpersonal skills: Communicate across a diverse audience across all levels of an organization.
Responsibilities
Understanding the overall Business Strategies, vision, plans and specific requirement to align with Data Science efforts
Agree with the customer on the Acceptance Criteria and communicate to the team
Making sure the team understands the Business Processes and data
Manage EDA (Exploratory Data Analysis), Data Sourcing/Cleansing, Data preprocessing data munging and create training data sets
Ensuring appropriate and correct modelling techniques are used
Guide the team in deployment of the statistical model using the technology of customers’ preference
Making sure the Data Pipeline, Machine Learning Pipeline and Monitoring activities are set for Continuous Integration , Continuous Development and Continuous Testing
Act as the go-to-person for all the issues in Machine Learning Life Cycle
Partners with IT and business teams to effectively operationalize models