Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
We are seeking an experienced Lead Data Scientist with a strong background in the Retail CPG and Manufacturing industry. You will work closely with cross-functional teams to analyze, model, and drive data-driven insights that enhance decision-making and create strategic advantages.
Key Responsibilities: Work on the latest applications of data science to solve business problems in the Retail, CPG and Manufacturing space. Design and implement advanced predictive models to analyze trends and behaviors in the Retail CPG and Manufacturing 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 Manufacturing 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. 9-10 + years of strong hands-on work experience Manufacturing Experience. Should be able to lead domain conversations on a solution consulting angle. Should be proficient in Spanish Language. Proficient in Python (pipeline creation, pytest, data manipulation with Pandas, etc.), R, SQL. Strong understanding of machine learning, predictive analytics, and statistical modeling. Know typical data sets available and make recommendations by performing EDA upfront and suggest strategies around overall Data Wrangling and cleanup Domain Knowledge: In-depth knowledge of the Retail CPG industry, especially Smart Manufacturing Experience. Familiarity with industry-specific Data Systems - Manufacturing Control Tower, Manufacturing Systems around Global Shop Floor Tools, MES, historian, SAP etc 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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