Data Scientist
Data Scientist
Posted on :
29-10-2024
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1 Vacancy
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Job Description
Job Title: Data Scientist
Job Location: Bangalore
Experience: 45 Years
About the Role:
We are looking for experienced Data Scientist. The candidate should have expertise in building machine learning and econometrics models proficiency in Python and PySpark and experience working with AWS cloud infrastructure including SageMaker. The role will also require a working knowledge of MLOps practices client management and collaboration with crossfunctional teams. While forecasting expertise is a valuable skill it will be a secondary focus in this position.
Key Responsibilities:
Design develop and deploy machine learning and statistical models to solve complex business problems.
Collaborate with crossfunctional teams (data engineering ML engineering and business) to gather and understand requirements.
Implement and scale machine learning models using Python and PySpark optimising performance and accuracy.
Utilize AWS services (including SageMaker) for deploying training and managing models in the cloud.
Apply MLOps best practices to ensure scalability reliability and maintainability of ML pipelines.
Develop and implement forecasting models as needed but primary focus will be on other types of machine learning and statistical time series models.
Work closely with business stakeholders to translate business needs into technical solutions.
Required Skills & Experience:
45 years of experience in data science with a strong focus on machine learning and statistical model development.
Proficiency in Python and PySpark for largescale data processing and modelling.
Handson experience with AWS cloud services especially SageMaker for building and deploying models.
Familiarity with MLOps tools and best practices for managing machine learning pipelines.
Demonstrated ability to develop accurate forecasting models (though this will be a secondary skill).
Strong communication skills with the ability to manage client relationships and expectations effectively.
Experience working in collaborative crossfunctional teams including engineers product managers and business stakeholders.
Preferred Qualifications:
Experience with big data tools like Spark.
Exposure to advanced machine learning techniques (e.g. deep learning reinforcement learning).
Familiarity with CI/CD pipelines for machine learning.
Required Skills & Experience: 4-5 years of experience in data science, with a strong focus on machine learning and statistical model development. Proficiency in Python and PySpark for large-scale data processing and modeling. Hands-on experience with AWS cloud services, especially SageMaker for building and deploying models. Familiarity with MLOps tools and best practices for managing machine learning pipelines. Demonstrated ability to develop accurate forecasting models (though this will be a secondary skill). Strong communication skills with the ability to manage client relationships and expectations effectively. Experience working in collaborative, cross-functional teams, including engineers, product managers, and business stakeholders.
Employment Type
Full Time
Key Skills
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