


As a Data Scientist, you will be responsible for extracting valuable insights from large and complex datasets. You will apply your expertise in statistical analysis, machine learning, and data visualization to develop predictive models, identify trends, and provide actionable recommendations. You will collaborate with cross-functional teams to translate business needs into data-driven solutions and contribute to the development of our data science capabilities.
Responsibilities:
- Data Exploration and Preprocessing:
- Collect, clean, and preprocess large datasets from various sources.
- Identify and handle missing data, outliers, and inconsistencies.
- Perform exploratory data analysis (EDA) to understand data patterns and relationships.
- Model Development and Evaluation:
- Develop and implement machine learning models for prediction, classification, and clustering.
- Evaluate model performance using appropriate metrics and techniques.
- Tune and optimize models to improve accuracy and efficiency.
- Statistical Analysis:
- Conduct statistical analysis to identify trends, patterns, and insights.
- Design and implement A/B tests to evaluate the impact of changes.
- Perform hypothesis testing and statistical modeling.
- Data Visualization and Communication:
- Create compelling visualizations to communicate findings and insights to stakeholders.
- Develop clear and concise reports and presentations.
- Translate complex data into actionable recommendations.
- Collaboration and Communication:
- Collaborate with cross-functional teams, including product managers, engineers, and business analysts.
- Communicate effectively with both technical and non-technical audiences.
- Contribute to the development of data science best practices.
- Staying Current:
- Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
- Explore and evaluate new tools and techniques.

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- Developing new user-facing features using React.js and integrating with backend services.
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Hyderabad
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Competitive, based on experience and market standards.
Education:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
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- Excellent problem-solving skills.
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RaptorX is a fintech startup focused on redefining fraud detection and prevention in real time for banks, financial institutions, and digital platforms. Backed by top-tier investors, including senior technology leaders from Google, Microsoft, and Peak XV Partners, RaptorX leverages advanced AI models for anomaly detection, and high-throughput architecture to stay ahead of sophisticated fraud patterns.
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