Remote Senior Data Scientist- Marketing

Description:

• Tiger Analytics, a global organization, is seeking a Senior Data Scientist specializing in Marketing.
• The role involves utilizing data and technology to develop customized solutions for Fortune 100 companies in the retail & CPG industry.
• The Senior Data Scientist will focus on email marketing, online marketing, and retail personalization within the Ecommerce and digital marketing analytics space.
• Responsibilities include designing and maintaining email campaigns, offer optimization, CLTV estimation, affinity modeling, and propensity modeling.
• The position requires collaboration with various teams to integrate solutions into applications and tools, creating scalable and dynamic models.
• The Senior Data Scientist will also engage in community events and conferences to stay updated on industry trends and support innovative solutions for business objectives.

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 marketing modeling skills in email campaigns, offer optimization, CLTV estimation, affinity modeling, and propensity modeling are required.
• Preference for strong Python coding skills with production experience, and knowledge of ML ops.
• In-depth domain knowledge in retail/Ecommerce marketing is necessary.
• Ability to apply analytical models to business use cases effectively.
• Excellent communication and collaboration skills to understand and address business partner needs.
• Demonstrated bias for action, exceptional task prioritization, and time management skills.
• Proactive, curious, can-do attitude, and flexible personality are desired qualities.

Benefits:

• The position offers significant career development opportunities in a fast-growing and challenging entrepreneurial environment.
• The role provides a high degree of individual responsibility and the chance to work with a growing team of experienced Data Scientists.