Job Description :
Job Description:

Knowledge on Adobe data Analytics and Prior experience working with Adobe clickstream data set.
Experience using statistical computer languages (R, Python, SLQ, etc to manipulate data and draw insights from large data sets
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc and experience with applications
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc
Extensive background in data mining and statistical analysis
Able to understand various data structures and common methods in data transformation
Excellent pattern recognition and predictive modeling skills
Work as the lead data strategist, identifying and integrating new data sets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
Analyze data for trends and patterns, and Interpret data with a clear objective in mind
Implement analytical models into production by collaborating with software developers and machine learning engineers.
Establish robust processes to ensure the stability, accuracy, reproducible and overall quality of all algorithms and hypothesis testing processes