Data Scientist

Responsibilities:

• Design and implement advanced analytical insights using applicable data science models utilizing Cloudera CML platform
• Develop data analytics and machine learning models to extract insights from customer data, such as sentiment analysis, topic modelling, and predictive modelling
• Coordination of Data Scientists with Data Analyst and business stake holders in identification of use cases
• Identify and gather relevant data from various sources in coordination with Data Engineers
• Ensure data quality working with the Data Quality Lead for the extracted data set to be scanned and profiled with Informatica Data Quality tool to benchmark the data quality
• Document the BRS for the use case being implemented and obtain the sign off from the business
• Build and train machine learning models to make predictions or classifications based on the data including selecting the appropriate algorithms and tuning the model parameters
• Responsible for deploying the models into production and integrating them with other systems

Requirements:

• Experience with machine learning algorithms, including both supervised and unsupervised learning methods, and have a good understanding to select the appropriate algorithm for a given problem
• Experience creating and using advanced machine learning algorithms and statistics; Experience with utilizing ready cloud ML models
• Experience in data visualization tools like Tableau, Power BI, or Python libraries like Matplotlib or Seaborn
• Proficient in programming languages like Python or R, as well as have a good understanding of SQL, Oracle and database management. Experience using web services: Redshift, S3, Spark, Digital Ocean, etc.
• Experience analysing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics, AdWords, Crimson Hexagon, Facebook Insights, etc.
• Experience with big data technologies like Hadoop, Spark, or NoSQL databases, as well as cloud-based technologies like Amazon Web Services (AWS) or Microsoft Azure