Role :
Data Scientist
Location :
WORK FROM HOME/BANGALORE
JOB DESCRIPTION:
- Any skills related to the role
- the selected Should have excellent English communication with a decent accent
- Working with the product and business owners on strictly Scrum-driven projects, the data and analytics specialist interprets the business objectives and values and converts them into technical software and data products that are integrated into our core data architecture.
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What you will do
- Any skills related to the role
- the selected Should have excellent English communication with a decent accent
To develop innovative solutions, push the limits of machine learning and artificial intelligence.
Investigate, comprehend, and apply the newest methods and technology for data science issues.
Handle multi-terabyte data collections with ease in both scale-up and scale-out settings.Aim for cutting-edge, scalable, and extremely accurate data science models.
To choose the best strategies, measure their effectiveness, and determine their commercial relevance, one must have a thorough understanding of the business processes that generate and consume data.
Through ongoing assessment, analysis, and system implementation improvement, achieve excellence in terms of both system scalability and results quality.
Use visuals and consistency to convey the importance of the systems that have been put in place and the outcomes that have been attained.
Collaborate closely with the group, clients, and partners to fully comprehend user and business needs and
Education Required:
Any Graduation
Any stream
Fresher’s
Experienced also
skills
- Any skills related to the role
- the selected Should have excellent English communication with a decent accent
BASIC QUALIFICATIONS
- Good Fluency in English
- You are a bachelor’s degree or equivalent years of work experience
outstanding intellectual and problem-solving abilities.
Experience in a dynamic, multidisciplinary workplaceInvestigate, prototype, operationalise, and contribute to novel scenarios.
good knowledge of the enterprise architecture and data as it is.
Proficiency with statistics and familiarity with libraries like pandas, nltk, scikit-learn, TensorFlow, and PyTorch.
knowledge of programming languages like SQL, R, or Python.
familiarity with data architecture frameworks and technologies, such as cloud platforms like AWS, Azure, or Google Cloud, data warehouses, and ETL tools.
knowledge of data visualisation programs, such as Tableau and Power BI.
HOW TO APPLY :
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Scroll down and press the Apply Link button.
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• Fill the details with the information provided.
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