Senior Data Scientist (Analytics Product)

Responsibilities

- Create customized user persona leads or target customer groups and process ad-hoc data requests for campaigns marketing function.
- Develop conversion behavior analysis according to different business dimensions (demographics, location, behavior, interest, etc.), interpret results and identify potential recommendations to be shared with internal and external stakeholders.
- Collaborate with the Campaigns, Product and Sales teams to build audience segments and provide Post campaign insights to find key drivers of conversion.
- Explore new approaches to improve existing segments and present data, e.g develop Propensity models to generate leads.Create customized user persona leads or target customer groups and process ad-hoc data requests for campaigns marketing function.
- Develop conversion behavior analysis according to different business dimensions (demographics, location, behavior, interest, etc.), interpret results and identify potential recommendations to be shared with internal and external stakeholders.
Collaborate with the Campaigns, Product and Sales teams to build audience segments and provide Post campaign insights to find key drivers of conversion.
- Explore new approaches to improve existing segments and present data, e.g develop Propensity models to generate leads.

Qualifications

- Bachelor’s degree in Engineering, Computer Science, Math, Statistics or other areas that are highly quantitative.
- At Least 2-3 years of experience working with large datasets or in a high-paced startup environment is highly desirable.
- Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark)
- Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning is good to have but not necessary.
- Strong analytical problem-solving capabilities.

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