Data Scientist - Statistical Analysis

As a Data Scientist, you will leverage your analytical skills to interpret complex data sets and provide actionable insights that drive business decisions within the FMCG, Pharma, Agritech, and Manufacturing sectors. Your role will involve utilizing statistical analysis, data modeling, and machine learning techniques to solve business problems and enhance operational efficiency. Key Responsibilities : - Analyze large data sets to identify trends, patterns, and anomalies that can inform business strategies. - Develop predictive models and algorithms using machine learning techniques to solve specific business challenges. - Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. - Clean, preprocess, and transform data from various sources to prepare it for analysis. - Use data visualization tools to create clear and compelling presentations of analytical results. - Conduct experiments and A/B testing to validate assumptions and improve decision-making processes. - Stay updated with industry trends, tools, and best practices in data science and analytics. Qualifications : - Bachelor's or Master's degree in Mathematics, Statistics, Data Science, or a related field with a specialization in Advanced Analytics. - Strong knowledge of statistical analysis and experience with machine learning algorithms. - Proficiency in programming languages such as Python or R for data analysis. - Experience with data visualization tools such as Tableau, Power BI, or similar. - Familiarity with SQL for database querying and management. - Strong problem-solving skills and the ability to communicate complex findings in a clear and concise manner. Industry Preference : - FMCG (Fast-Moving Consumer Goods) - Pharma (Pharmaceuticals) - Agritech (Agricultural Technology) - Manufacturing (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 11/22/2024