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Data Scientist - CREQ188574
Description
As a Data Scientist with a Ph.D., this role will be multifaceted, involving advanced data analysis, statistical modeling, and algorithm development. Person will be responsible for deriving insights from complex datasets, guiding decision-making processes, and driving innovation within the organization.
Responsibilities
Data Analysis and Exploration:
Utilize advanced statistical techniques to analyze large datasets and extract actionable insights.
Develop algorithms and models to identify patterns, trends, and correlations within the data.
Statistical Modeling:
Design and implement predictive models using machine learning algorithms such as regression, classification, clustering, and time series analysis.
Validate models for accuracy, reliability, and robustness.
Algorithm Development:
Develop and optimize algorithms for data mining, feature extraction, and anomaly detection.
Collaborate with cross-functional teams to deploy algorithms into production systems.
Research and Development:
Stay abreast of the latest advancements in data science, machine learning, and related fields.
Conduct research to explore novel approaches and techniques for solving complex data-related problems.
Data Visualization and Communication:
Present findings and insights to stakeholders using compelling data visualizations, reports, and presentations.
Collaborate with business teams to translate analytical findings into actionable recommendations.
Data Governance and Ethics:
Ensure compliance with data governance policies and regulations.
Uphold ethical standards in data collection, analysis, and usage.
Responsibilities
Data Analysis and Exploration:
Utilize advanced statistical techniques to analyze large datasets and extract actionable insights.
Develop algorithms and models to identify patterns, trends, and correlations within the data.
Statistical Modeling:
Design and implement predictive models using machine learning algorithms such as regression, classification, clustering, and time series analysis.
Validate models for accuracy, reliability, and robustness.
Algorithm Development:
Develop and optimize algorithms for data mining, feature extraction, and anomaly detection.
Collaborate with cross-functional teams to deploy algorithms into production systems.
Research and Development:
Stay abreast of the latest advancements in data science, machine learning, and related fields.
Conduct research to explore novel approaches and techniques for solving complex data-related problems.
Data Visualization and Communication:
Present findings and insights to stakeholders using compelling data visualizations, reports, and presentations.
Collaborate with business teams to translate analytical findings into actionable recommendations.
Data Governance and Ethics:
Ensure compliance with data governance policies and regulations.
Uphold ethical standards in data collection, analysis, and usage.
Primary Location
Hyderabad, Andhra Pradesh, India
Job Type
Experienced
Primary Skills
Python, ML Ops
Years of Experience
14
Travel
No
Job Posting
02/07/2024
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