
Data Science Analyst
1 day ago
Key Responsibilities
Analysis & Research
Conduct ad hoc exploratory data analysis to identify fraud patterns and trends, with focus
on new account fraud and account takeovers
Integrate and evaluate third-party data sources to test and enhance the efficacy of existing fraud detection solutions
Perform retrospective analyses and back-testing to demonstrate solution value to
prospective clients
Execute statistical studies to support product development and optimization decisions
Model Support & Validation
Collaborate with senior data scientists to support predictive model development and
implementation
Conduct quality assurance testing of machine learning algorithms and key data attributes
Validate model performance and stability across different data scenarios
Stay current on emerging data science techniques, particularly in AI/ML for fraud
detectionCommunication & Reporting
Define and deliver analytical reports that translate complex findings into actionable
business insights
Present results to both technical and non-technical stakeholders
Support client demonstrations and proof-of-concept initiatives
Document analytical methodologies and findings
Required Qualifications Education
Bachelor's or advanced degree in Statistics, Mathematics, Computer Science, Data
Science, or a related quantitative field
Experience
3 – 5 years in data science, analytics, or a related analytical role.
Immediate joining preferred (within 2 weeks)
Must hold a valid passport
Valid B1 visa is an added advantage
Technical Skills
Proficiency in Python
Experience with Jupyter Notebook and statistical analysis
Strong SQL skills for data extraction and manipulation
Proficiency in Microsoft Excel and PowerPoint
Analytical Skills
Solid understanding of statistical modeling and machine learning concepts
Experience with data exploration and pattern recognition
Strong problem-solving and critical thinking abilities
Communication
Ability to explain complex analytical concepts to non-technical audiences Personal Attributes
Self-directed with strong project management skills
Collaborative team player with eagerness to learn
Detail-oriented with commitment to data quality and accuracy
Job Type: Full-time
Pay: ₹1,200, ₹1,500,000.00 per year
Experience:
- Python: 3 years (Required)
- Jupyter Notebook: 3 years (Required)
- Statistical analysis: 3 years (Required)
- SQL: 3 years (Required)
- data extraction : 3 years (Required)
Work Location: In person
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