Data Scientist - ETL & Predictive Modeling

Job Title DATA SCIENTIST

Location Bangalore (Onsite)

Interview Mode - Video

Duration : 6+ Months Contract to Hire

We are looking for a Data Scientist to develop analytical solutions that drive strategic decision-making. You will be responsible for creating the concepts and implementing statistical models, building end-to-end AI products on Azure DevOps, presenting insights to senior leadership.

We expect a professional with experience in ETL, exploratory data analysis, and predictive modeling, as well as SQL knowledge, Python, R, and Deep-Learning Frameworks such as TensorFlow, Keras, and PyTorch. Familiarity with cloud platforms (Azure, Google Cloud, or AWS) will be an advantage.

Responsibilities and assignments :

- Propose the analytical solution for the business problem by implementing statistical models and programming techniques.

- Ensure that any obstacles in the implementation are brought to the attention of the Analytics Manager so that project timelines are not affected.

- Create end-to-end AI products using Azure Dev Ops.

- Document all aspects of the project in a standardized manner for future reference.

- Storyboard and present insights to senior leadership.

Requirements and Qualifications :

- Experience in data science, preferably in the CPG domain.

- ETL and exploratory data analysis.

- Experience working with large amounts of real data using SQL (Teradata, Oracle or MySQL) and R, or another statistical package.

- Good knowledge on implementing machine learning and deep learning algorithms.

- Capability to working with complex data-sets, Machine Learning and DL systems such as Pandas, Scikit-Learn, TensorFlow, Keras, Pytorch, etc.

- Bachelor's degree.

- Capability to create insightful models in Python and R.

- Experience with cloud platforms such as Azure, Google Cloud, AWS is preferred.

- Degree in any field related to Statistics, Applied Statistics, Economics, Econometrics, Operations Research, or any other quantitative analysis.

- Fluent in English;

- Spanish may be a advantage.

- Programming languages (Python, R) (mandatory). Proficient in SQL.

- Advanced skills in Excel and PowerPoint.