Data Scientist-Machine Learning

Job Description:

• Industry knowledge Knows basic principles of industry lexicon competitor landscape sub verticals and related best practices in order to provide suggestions for specific functional processes
• Basic understanding of industry standards to document current customer compliance and gaps
• Functional Process knowledge Shows the basic understanding of processes in relevant functional areas such as Telecom Fulfillment Assurance Workforce Management Billing etc
• in order to
• Document or guide documentation of simple as is customer processes
• Appreciate the context of customer requirements from specific engagements
• Ability to suggest Analytics algorithms to use based on business situation mindful of fundamental assumptions in the algorithms OR Work with other data scientists as a team to understand algorithms suggested and provide QA in algorithm choice from a business perspective
• Align our deliverables to customer requirements provide business acumen to avoid apparently bookish or theoretical output
• Ability to converse with customers on rationale for an approach taken pros and cons etc
• Responsible for successful delivery of Advanced Analytics solutions and services in client consulting environments experience in optimization linear mixed integer constraint programming simulation and or predictive analytics using AAO tools such as SAS or SPSS and other Tools R and Python
• Define key business problems to be solved formulate mathematical approaches and gather data to solve those problems develop analyze draw conclusions and present to client
• Assist clients in identifying type of analytics and management data that will directly relate to improving clients market share or any other measure client is addressing
• Identify the differentiators map them to present day environment and then design an improvement plan
• Discover new opportunities to optimize the business through analytics and statistical modeling
• Oversee all aspects of analytics and business intelligence projects if necessary

Key Responsibilities:

• Preferred Proficiency with statistical analysis tools e
• g
• SAS SPSS R Python
• Hands on experience in Statistical Techniques Deep Learning such as Decision Tree Segmentation Logistic and Multiple Regression and others
• Experience of Forecasting Campaign Management and Customer Segmentation is desirable
• Strong Excel Access and PowerPoint skills
• Familiarity with database query tools SQL
• Basic understanding of data warehouse architecture
• Understanding of various Analytical Tools Platform Frameworks

Technical Requirements:

• Data science
• machine learning
• Good to have PySpark Databricks

Preferred Skills: