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. 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 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, can-do attitude, flexible personality
Benefits
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.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Analyst
Industries
Primary and Secondary Education and Non-profit Organizations
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