7.2. Role: Senior Data Science Analyst
7.2.1. Role Description:
184.108.40.206.Work with both technical Data Scientists and business stakeholders to understand data needs for projects and document.
220.127.116.11. Research and develop statistical learning and Machine Learning models for data analysis.
18.104.22.168. Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
22.214.171.124. Understanding information needs and extracting data from a variety of sources in order to create analytics deliverables that meet those needs.
126.96.36.199. Leverage models to address key growth challenges, cross-channel spend allocation, response modeling, and marketing program attribution.
188.8.131.52. Collaborate with Product Management to understand Business needs and devise possible solutions.
184.108.40.206. Ideas to generate key decision making KPls.
220.127.116.11. Optimize joint development efforts through appropriate database use and project design.
7.2.2. Required Skills:
18.104.22.168. 5+ years' practical experience with Data Analytics and Big Data
7.2.3. Desired Skills, Experience and Knowledge:
22.214.171.124. Master's Degree in Computer Science, Statistics, Data Science, or Applied Math or related field.
126.96.36.199. Excellent experience with Machine Learning and Artificial Intelligence Techniques and Algorithms.
188.8.131.52. Experience with common data science tools like (but not limited to) R, NumPy, Matlab, Python, JAVA, etc.
184.108.40.206. Experience in working with BigData platforms like Hortonworks, Cloudera, Amazon EMR .. etc
220.127.116.11. Practical knowledge with Big Data tools like HDFS, HIVE and Spark.
18.104.22.168. Expert knowledge with statistics.
22.214.171.124. Experience with programming languages such as Java and Python.
126.96.36.199. Skilled in Reporting and Data Visualization Software, with strong presentation skills.
188.8.131.52. Experience with SQL (Structured Query language) programming.
184.108.40.206. Extensive background in statistical analysis
220.127.116.11. Ability to understand various data structures and common methods in data transformation
18.104.22.168. Excellent pattern recognition and predictive modeling skills.