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Description:
Tiger Analytics is seeking a Lead Data Scientist with a strong background in data analytics, particularly in the Retail and CPG industry.
The role involves working on cutting-edge applications of data science to address business challenges in the retail analytics space.
The Lead Data Scientist will be responsible for effectively communicating analytics approaches to business partners and leading data analytic and modeling approaches.
They will collaborate with a team of experienced Data Scientists, stay updated with industry trends, and develop innovative solutions using advanced techniques and tools.
Requirements:
More than 8 years of experience in Data Science is required.
A Graduate Degree in Data Science, Computer Science, or a related field is mandatory.
A minimum of 5 years of recent experience in the CPG and Retail industry is essential.
Proficiency in Python coding with production experience is preferred, while knowledge and experience in ML ops are advantageous.
Strong domain knowledge in retail/E-commerce marketing is necessary.
Ability to apply various analytical models to solve business use cases.
Excellent communication and collaboration skills to understand business partner needs and deliver solutions.
Must have a bias for action, exceptional task prioritization, and time management skills.
Proactive, curious, can-do attitude, and flexible personality are desired qualities.
Benefits:
This position provides an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment.
The role offers a high degree of individual responsibility and the chance to work on innovative solutions in the Retail and CPG industry.