Data Scientist
hace 4 semanas
Tiger Analytics is a pioneering force in harnessing the power of AI and analytics to tackle complex business challenges globally. Our team develops bespoke solutions powered by data and technology for Fortune 100 companies, with a strong presence in the US, UK, India, and Singapore.
We are market leaders in AI and analytics consulting in the retail & CPG industry, with over 40% of our revenue coming from this sector. This is our fastest-growing area, and we're expanding our talent pool to meet the demand.
We're seeking a seasoned Lead Data Scientist with a strong background in data analytics, solid knowledge of Market Mix Modeling and ROI analytics, and excellent coding skills to join our team.
Key Responsibilities- Apply data science techniques to solve business problems in the Marketing analytics team of the Retail and CPG space.
- Effectively communicate the analytics approach and its alignment with business objectives to stakeholders.
- Develop actionable solutions and recommendations for clients' business needs.
- Collaborate with client analytics teams on Market Mix Modelling / ROI analytics.
- Conduct hands-on work on data analytics, model development, and testing, preparing data files for visualization platforms.
- Perform business analysis on data and provide insights.
- Coordinate with decision-makers to translate business questions into verifiable hypotheses and data models.
- Work on various analytics problems and provide thought leadership.
- Interact with onsite teams and clients on a daily/weekly basis to gather requirements and provide updates.
- Stay connected with external sources of ideas through conferences and community engagements.
- Support demands from regulators, investor relations, etc., to develop innovative solutions using cutting-edge techniques and tools.
- 8+ years of experience working with CPG clients or in a CPG company.
- Graduation or post-graduation in Statistics, Mathematics, Management, etc.
- Must have worked with Marketing analytics teams and have comprehensive knowledge of Market Mix Modelling (MMM). Must have led multiple projects on MMM analytics.
- Experience in pricing and promotion analytics is a plus.
- Must have experience with Databricks.
- Implemented Bayesian regression on Python. Exposure to libraries like NumPy, Pandas, Scikit-learn, PyMC3.
- Hands-on experience in PowerPoint/Excel is a must.
- Strong logical, analytical, and problem-solving skills.
- Adept at report writing and presenting findings.
- Excellent verbal and written communication skills.
This role presents 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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