Senior Data Scientist
hace 3 semanas
Tiger Analytics is a pioneer in harnessing the power of AI and analytics to tackle complex business challenges. We develop tailored solutions for Fortune 100 companies, leveraging data and technology to drive growth. Our global presence spans multiple cities across the US, UK, India, and Singapore, with a significant remote workforce. We are market leaders in AI and analytics consulting for the CPG & retail industry, with over 40% of our revenue coming from this sector. To fuel our growth, we seek an experienced Senior Data Scientist with a strong background in Retail CPG and Agro-industry. This role involves collaborating with cross-functional teams to analyze, model, and drive data-driven insights that enhance decision-making and create strategic advantages. Key Responsibilities:Design and implement advanced predictive models to analyze trends and behaviors in the Retail CPG and Agro sectors.Work closely with stakeholders across data engineering, product, and business teams to understand objectives and provide data-driven solutions.Develop data models and pipelines to support analytical and machine-learning initiatives.Leverage domain knowledge in Retail CPG and Agro to produce insights and identify growth opportunities.Prepare and present insights, recommendations, and data findings to technical and non-technical audiences.Maintain best practices in data science and machine learning, ensuring accuracy, quality, and compliance.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.Requirements6-8+ years of hands-on experience in data science, with a focus on the Retail CPG and Agro-industry.Proficient in Python (pipeline creation, pytest, data manipulation with Pandas, etc.), R, SQL. Strong understanding of machine learning, predictive analytics, and statistical modeling.Domain Knowledge: In-depth knowledge of the Retail CPG industry, especially in Agro. Familiarity with industry-specific datasets, trends, and KPIs.Excellent communication skills with the ability to present data insights to a variety of audiences.Familiarity with cloud-based data platforms (AWS, Azure, Google Cloud)CI/CD Practices: Experience with continuous integration and deployment practices is a plus. Experience with model deployment and monitoring is a plusBias for action, with the ability to deliver outstanding results through task prioritization and time management
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