Description:

Tiger Analytics is seeking an experienced Senior Data Scientist with a strong background in the Retail CPG and Agro-industry.
The role involves working closely with cross-functional teams to analyze, model, and drive data-driven insights that enhance decision-making and create strategic advantages.
Key responsibilities include designing and implementing advanced predictive models to analyze trends and behaviors in the Retail CPG and Agro sectors.
The candidate will collaborate with stakeholders across data engineering, product, and business teams to understand objectives and provide data-driven solutions.
Developing data models and pipelines to support analytical and machine-learning initiatives is essential.
The role requires leveraging domain knowledge in Retail CPG and Agro to produce insights and identify growth opportunities.
Preparing and presenting insights, recommendations, and data findings to both technical and non-technical audiences is a key task.
Maintaining best practices in data science and machine learning, ensuring accuracy, quality, and compliance is crucial.
The candidate will collaborate, coach, and learn with a growing team of experienced Data Scientists.
Staying connected with external sources of ideas through conferences and community engagements is encouraged.
Supporting demands from regulators and investor relations to develop innovative solutions utilizing cutting-edge techniques and tools is part of the role.

Requirements:

The candidate must have 6-8+ years of hands-on experience in data science, specifically in the Retail CPG and Agro-industry.
Proficiency in Python (including pipeline creation, pytest, and data manipulation with Pandas), R, and SQL is required, along with a strong understanding of machine learning, predictive analytics, and statistical modeling.
In-depth knowledge of the Retail CPG industry, particularly in Agro, is necessary, including familiarity with industry-specific datasets, trends, and KPIs.
Excellent communication skills are essential, with the ability to present data insights to a variety of audiences.
Familiarity with cloud-based data platforms such as AWS, Azure, or Google Cloud is required.
Experience with continuous integration and deployment practices is a plus, as well as experience with model deployment and monitoring.
The candidate should have a bias for action, with the ability to deliver outstanding results through task prioritization and time management.
A proactive, curious, can-do attitude, and a flexible personality are important traits for this position.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment.
The role comes with a high degree of individual responsibility, allowing for personal and professional growth.