Data Scientist with Data Engineering and developing ETL processes

4 weeks ago

india Cloudbase Solutions Full time

Job Title: Data Scientist


Position Overview:

We are seeking a highly skilled and experienced Data Scientist to join our team. The ideal candidate will have a strong background in data engineering, developing ETL processes, and utilizing machine learning tools to extract insights and drive business decisions. The Data Scientist will be responsible for analyzing large datasets, developing predictive models, and communicating findings to various stakeholders. This is a crucial role in our organization as we continue to grow and leverage data to improve our operations and customer experience.


Key Responsibilities:

- Design and implement data models and ETL processes to extract, transform, and load data from various sources

- Develop and maintain machine learning models to identify patterns and trends in large datasets

- Collaborate with cross-functional teams to identify business problems and develop data-driven solutions

- Communicate complex data findings and insights to non-technical stakeholders in a clear and concise manner

- Continuously monitor and improve the performance of existing models and processes

- Stay up-to-date with industry trends and advancements in data science and machine learning


Qualifications:

- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field

- Minimum of 4 years of experience in a data science or analytics role

- Strong proficiency in SQL and experience with data warehousing and ETL processes

- Experience with programming languages such as Python, R, or Java

- Familiarity with machine learning tools and libraries such as TensorFlow, Keras, or scikit-learn

- Excellent analytical and problem-solving skills

- Strong communication and collaboration skills

- Ability to work independently and manage multiple projects simultaneously


Experience with Data Engineering:

- Experience with data warehousing and ETL processes

- Proficiency in SQL and database management

- Familiarity with cloud-based data platforms such as AWS, Azure, or Google Cloud

- Experience with AWS SageMaker and AzureML Studio is highly desirable

- Knowledge of data modeling and database design principles

- Experience with data visualization tools such as Tableau or Power BI


Experience with ML Tools:

- Experience with machine learning tools and libraries such as TensorFlow, Keras, or scikit-learn

- Knowledge of different machine learning algorithms and their applications

- Familiarity with data preprocessing and feature engineering techniques

- Experience with model evaluation and performance metrics

- Understanding of deep learning and neural networks is a plus


We are looking for a highly motivated and results-driven individual who is passionate about leveraging data to drive business decisions. The Data Scientist will play a critical role in our organization and will have the opportunity to work on diverse and challenging projects. If you have a strong background in data engineering, machine learning, and a desire to make an impact, we encourage you to apply for this exciting opportunity.

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