Data Scientist Jobs in Hyderabad - Madhees techno consulting

We are looking for Data Scientists, Bachelors and 5+ yrs relevant experience required in Statistics, Math, Finance or other quantitative field or Master’s degree and 3+ years of post-degree experience in Statistics, Math, Finance or other quantitative field (preferred).

Data Analysis, ML, R and / Or Python, Predictive modelling.

• Bachelors and 5+ yrs. relevant experience required in Statistics, Math, Finance or other quantitative field or Master’s degree and 3+ years of post-degree experience in Statistics, Math, Finance or other quantitative field (preferred).
• Problem Analysis Skills- Understand and be able to apply advanced modeling techniques such as logistic regression, generalized linear models, decision trees, cluster analysis, survival analysis, etc. to answer specific business queries or situations.
• Independent - Advanced knowledge of the entire modelling process (design, develop, test, implement, measure) and demonstrated ability to manage time/resources to bring projects to completion.
• Results Oriented - Proficient leveraging financial techniques i.e. ROI, NPV and Cashflow to measurement the effectiveness of tools/models.
• Technical Expertise - Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets

Roles and Responsibilities:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Develop processes and tools to monitor and analyze model performance and data accuracy.