Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the retail & CPG industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, who holds solid knowledge of email marketing, online marketing, and retail personalization. A quick learner, and has strong coding capabilities to add to our team.

Responsibilities

• Work on the latest applications of data science to solve business problems in Ecommerce with the digital marketing analytics space of Retail.
• Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
• Responsible for designing and maintaining email campaigns, offer optimization, CLTV estimation, affinity modeling, propensity modeling.
• Lead data analytic and modeling approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers.
• Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements.
• Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.

Requirements

• 4+ years of Data Science experience required.
• Graduate Degree in Data Science, Computer Science, or a related field is required.
• Extensive knowledge in email marketing, online marketing, and retail personalization.
• Strong marketing modeling capability in email campaigns, offer optimization, CLTV, affinity modeling, propensity modeling.
• Strong Python coding with production experience is preferred; ML ops knowledge and experience is a plus.
• Excellent domain knowledge in retail/Ecom marketing.
• Ability to apply various analytical models to business use cases.
• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
• Bias for action, with the ability to deliver outstanding results through task prioritization and time management.
• Be proactive, curious, with a can-do attitude and flexible personality.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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