Course5 - Senior Data Scientist - Advertisement & Marketing Analytics

Specific Responsibilities :

- Design solutions and lead execution in advanced analytics engagements by understanding client problems, and identifying most suitable approach.

- Build Predictive & Prescriptive models leveraging machine learning and especially using R/Python/Bayeslab/SAS miner etc.

- Provide thought leadership to business team especially in marketing analytics such as MROI, Marketing Mix, Campaign Analytics etc.

- Structure design concepts to create compelling and effective presentations and other visuals that convey solutions and analytical results clearly and effectively to the client

- Consult actively with business users to ensure that solutions are tailored to business needs and will support or result in actionable customer strategies; participate in a consultative role in implementing solutions.

- Ensure detailed project documentation of effectiveness of analytics based strategies in client organization, measuring the value of analytical solutions and reinforcing its value proposition.

- Be a part of a highly competent & motivated team in delivering best- in-class models resulting in meaningful insights to clients.
 
Scope :

- Work on single or multiple projects simultaneously

- Deliver to clients requirements

Skills & Experience Required :

- 3-4 years of experience and in-depth understanding of statistical concepts such as regression, structural equation modeling, principal component analysis, clustering, decision trees/random forest, association models such as Apriori, market basket analysis etc. with applications in specific to marketing analytics across industry domain

- Minimum 2 years of experience in working with tools like SAS, R, E-miner, MATLAB or UNICA etc.

- Understanding of Data management concepts is preferred

Tools and Techniques :

- Specialized skills and exceptional understanding of concepts around Bayesian Approach, Graph Theory, Social Network Analysis along with other predictive modeling techniques

- Knowledge of how to read and interpret statistical outputs from statistical analysis packages such as SAS, SPSS, R or python.

- Should have demonstrated experience with senior level presentations and ability to communicate detailed and technical subject matter to non-technical audience.

- Experience of working in onshore-offshore environment will be a plus.

- Ability and motivation to work in a - new venture- environment.

Personal Skills :

- Strong work ethic

- Strong analytical ability and problem solving skills

- Strong client service orientation

- Questioning/clarification skills

- Confident written and verbal communication skills

- Prioritizing/time management skills

- Personal motivation skills and ability to function as a team player

- Proactive and flexible

- Logical, accurate, and detail oriented

Additional Skills :

- Experience in working with a broad base of industry verticals, such as CPG/FMCG, IT, Healthcare, Financial services, Telecom