Role :
Data Scientist
Location :
WORK FROM HOME
JOB DESCRIPTION:
- Any skills related to the role
- the selected Should have excellent English communication with a decent accent
- the selected persons must have basic knowledge about Data Analysis
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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
Analyze disaggregated data using modeling, statistics, and machine learning to deliver sophisticated analytics projects that offer data-driven insights to address important business concerns.
Utilize technologies like R, Python, and SQL to clean, modify, and analyze a variety of data sets.
Utilize a variety of modeling procedures and statistical approaches on transactional and attitudinal data to assist in addressing our clients’ business inquiries.Gain proficiency in all of our analytical solutions, comprehending their technical nuances and client value.
To promote alignment, ongoing development of sophisticated analytical methods, and continuous improvement, teams should exchange analytical best practices and insights.
Explain difficult analytical ideas simply and succinctly, adjusting your explanations for various audiences.
Education Required:
Education: A university degree in a mathematical, scientific, or related discipline with a strong statistical component. A higher degree in a relevant field is preferred but not 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
- the selected persons must have basic knowledge about Data Analysis
Technical Skills: R and Git proficiency are necessary. Proficiency in SAS, SQL, Python, and Shiny is preferred.
Analytical Mindset: A keen interest in learning about consumer behavior and how data-driven insights may help brands expand. strong capacity for analytical thought
Data handling: Practical knowledge of handling sizable datasets, conducting statistical analysis, executing machine learning models, and utilizing the R ecosystem to visualize findings
Industry Knowledge: While not required, prior experience working with panel or survey data is advantageous.
familiarity with pertinent modeling approaches, such as probability modeling, regression, and clustering techniques, among others
possesses exceptional interpersonal and communication abilities to easily connect with partners at all organizational levels and leads productive conversations.
Proficiency in both written and spoken English is required
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