Senior Data Scientist - Marketing Analytics

Job Purpose :

This resource will aid in data based customer insight process and help design and test newer consumer focused CRM and communication programs and help us understand which programs work better. This resources mandate would be to design and experiment with multiple programs at the same time and help teams to scale up these programs fast

Key Responsibilities :

- Develop and implement analytics and insights roadmap to advance customer segmentation, customer retention marketing strategies and cross-category propensity.

- Provide robust campaign analytics / insights to sharpen design of all marketing & CRM campaigns, Media Mix, Market Mix Modelling, Attribution Modelling.

- Provide insights on digital properties like App, Website,etc.,

- Segment, prioritize, and socialize clearly distinctive customer segments based on demographics, purchasing behavior, lifestyle preferences, motivations and attitudinal insights.

- Partner with cross functional teams to leverage customer intelligence to drive and optimize customer experiences.

- Provide an overall assessment of the business health by defining dashboards that synthesize and clearly communicate customer KPI's and life cycle trends

- Be proficient synthesizing competitive intelligence, to survey the landscape and communicate relevant trends, opportunities and risks

- Analyze and synthesize primary and secondary customer research, including focus groups, interviews, and surveys, to shape a deeper understanding of our customers.

- Support Marketing, Product Management, teams with ad-hoc customer insights needs

Candidate Profile :

Qualification :  BE / BTech / MTech / MBA, MSc in CS or Stats or Maths, Operation Research, Statistics, Econometrics or in any quantitative field

Experience : 4+ years of experience in Marketing Analytics

Functional Competencies :

- Expertise in machine learning, statistical analysis, modeling and data mining

- Fluency in programming languages such as Python, R, Matlab etc

- Experience in working with large datasets and big data systems (SQL, Hadoop, Hive, etc.)

- Keen aptitude for large-scale data analysis with a passion for identifying key insights from data

Behavioral Competencies :

- Presentation skills

- Eye for detail

- Analytical skills & Interpersonal skill