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Description:
Tiger Analytics is seeking a Senior Data Scientist with expertise in data analytics and a solid understanding of email marketing, online marketing, and retail personalization.
The role involves working on cutting-edge data science applications to address business challenges in Ecommerce and digital marketing analytics within the Retail sector.
Responsibilities include designing and managing email campaigns, optimizing offers, estimating Customer Lifetime Value (CLTV), and developing various modeling techniques.
The Senior Data Scientist will collaborate with cross-functional teams to integrate solutions into applications, create scalable models, and stay updated with industry trends through conferences and community engagements.
Requirements:
Minimum of 4 years of experience in Data Science.
A Graduate Degree in Data Science, Computer Science, or a related field is mandatory.
Proficiency in email marketing, online marketing, and retail personalization is essential.
Strong expertise in marketing modeling for email campaigns, offer optimization, CLTV estimation, affinity modeling, and propensity modeling.
Preferred experience in Python coding with ML ops knowledge.
In-depth domain knowledge in retail/Ecommerce marketing.
Ability to apply analytical models to solve business challenges effectively.
Excellent communication and collaboration skills to understand and address business partner needs.
Proactive, curious, and flexible personality with a bias for action.
Benefits:
This position provides an excellent opportunity for significant career growth in a fast-paced entrepreneurial environment.
The role offers a high level of individual responsibility and the chance to work on challenging projects in a rapidly growing sector.