Senior Data Scientist
hace 4 semanas
Tiger Analytics is a pioneering company in the field of AI and analytics, developing bespoke solutions for Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
We are market leaders in AI and analytics consulting in the CPG & retail industry, with over 40% of our revenues coming from this sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
Key Responsibilities- Work on the latest applications of data science to solve business problems in the Retail and CPG space.
- Design and implement advanced predictive models to analyze trends and behaviors in the Retail CPG and Agro sectors.
- Collaborate 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.
- 6-8+ 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 plus
- Bias for action, with the ability to deliver outstanding results through task prioritization and time management.
- Be proactive, curious, can-do attitude, 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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