Data Scientist

Data Scientist - CREQ192213 Description Develop end to end data science solutions: Design, develop, and deploy data-driven applications, from data collection and preprocessing to model building, deployment, and visualization.
Data collection and preprocessing Extract, clean, and transform data from various sources, ensuring data integrity and quality for analysis and modeling tasks.
Model development and deployment Create predictive models, machine learning algorithms, and statistical models to solve complex problems. Implement model deployment strategies web APIs or microservices to enable real-time predictions or integration with existing systems.
Frontend development Build intuitive and interactive data visualizations or dashboards using web technologies HTML/CSS/JavaScript to effectively communicate data insights to stakeholders.
Backend development Develop scalable and efficient data pipelines, APIs, or microservices for data ingestion, processing, and storage using programming languages like Python, Java, or Ruby. Implement cloud based solutions if necessary.
Collaborate with crossfunctional teams Work closely with data engineers, software developers, and business stakeholders to understand requirements, gather insights, and translate business problems into data science solutions.
Data exploration and analysis Conduct exploratory data analysis to identify patterns, trends, and insights from complex datasets. Apply statistical techniques and data visualization to communicate findings effectively.
Continuous improvement and research: Stay updated with the latest advancements in data science, machine learning, and software development. Research and experiment with new tools, frameworks, and approaches to enhance data science capabilities.
Qualifications/Skills Required
Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field or related experience.
Strong programming skills in languages such as Python, R, Java, or similar.
Strong working experience with cloud based technologies such as Azure AWS or Google Cloud.
Proficiency in frontend development technologies HTML/CSS/JavaScript for data visualization.
Experience with machine learning algorithms, statistical modeling, and data analysis.
Knowledge of SQL and database systems.
Strong problem solving skills and ability to work in a fast-paced, dynamic environment.
Excellent communication and collaboration Description Responsibilities
Deploying web applications to cloud platforms like AWS, Azure, or Google Cloud.
Having knowledge of Docker and Kubernetes will be added advantage
Experience working within financial/fintech sectors
Experience of Jira and Confluence Primary Location Hyderabad, Andhra Pradesh, India Job Type Experienced Primary Skills Tableau Years of Experience 5 Qualification

Develop end to end data science solutions: Design, develop, and deploy data-driven applications, from data collection and preprocessing to model building, deployment, and visualization.
Data collection and preprocessing Extract, clean, and transform data from various sources, ensuring data integrity and quality for analysis and modeling tasks.
Model development and deployment Create predictive models, machine learning algorithms, and statistical models to solve complex problems. Implement model deployment strategies web APIs or microservices to enable real-time predictions or integration with existing systems.
Frontend development Build intuitive and interactive data visualizations or dashboards using web technologies HTML/CSS/JavaScript to effectively communicate data insights to stakeholders.
Backend development Develop scalable and efficient data pipelines, APIs, or microservices for data ingestion, processing, and storage using programming languages like Python, Java, or Ruby. Implement cloud based solutions if necessary.
Collaborate with crossfunctional teams Work closely with data engineers, software developers, and business stakeholders to understand requirements, gather insights, and translate business problems into data science solutions.
Data exploration and analysis Conduct exploratory data analysis to identify patterns, trends, and insights from complex datasets. Apply statistical techniques and data visualization to communicate findings effectively.
Continuous improvement and research: Stay updated with the latest advancements in data science, machine learning, and software development. Research and experiment with new tools, frameworks, and approaches to enhance data science capabilities.
Qualifications/Skills Required
Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field or related experience.
Strong programming skills in languages such as Python, R, Java, or similar.
Strong working experience with cloud based technologies such as Azure AWS or Google Cloud.
Proficiency in frontend development technologies HTML/CSS/JavaScript for data visualization.
Experience with machine learning algorithms, statistical modeling, and data analysis.
Knowledge of SQL and database systems.
Strong problem solving skills and ability to work in a fast-paced, dynamic environment.
Excellent communication and collaboration Description Responsibilities
Deploying web applications to cloud platforms like AWS, Azure, or Google Cloud.
Having knowledge of Docker and Kubernetes will be added advantage
Experience working within financial/fintech sectors
Experience of Jira and Confluence

Travel No