- 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 analysing 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.
- 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 crossfunctional teams to identify business problems and develop datadriven solutions.
- Communicate complex data findings and insights to nontechnical 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.
- Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related field.
- Relevant 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 scikitlearn.
- Excellent analytical and problemsolving skills.
- Strong communication and collaboration skills.
- Ability to work independently and manage multiple projects simultaneously.
- Experience with data warehousing and ETL processes.
- Proficiency in SQL and database management.
- Familiarity with cloudbased data platforms such as AWS, Azure, or Google Cloud.
- Experience with AWS SageMaker and AzureML Studio is highly desirable.
- Knowledge of data modelling and database design principles.
- Experience with data visualization tools such as Tableau or Power BI.
- Experience with machine learning tools and libraries such as TensorFlow, Keras, or scikitlearn.
- 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.
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Assistant Vice President/Data Scientist - Bengaluru, India - Genpact
Description
Job Description :
With a startup spirit and 125,000+ curious and courageous minds, we have the expertise to go deep with the world's biggest brands-and we have fun doing it We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line.
We're harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people.
Now, we're calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing.
And as you help us create a better world, we will help you build your own intellectual firepower.
Inviting applications for the role of Assistant Vice President-Data Scientist
We are seeking a highly skilled and experienced Data Scientist to join our team.
The ideal candidate :
Responsibilities :
Minimum Qualifications/skills :
Experience with Data Engineering :
Experience with ML Tools :
Preferred Qualifications/ Skills :
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws.
Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation.
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