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Data Science Analyst
American Express. Leverage advanced ML techniques to innovate for the next generation of models and drive business growth .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in advanced Machine Learning and Deep Learning techniques, with a strong foundation in data analysis and programming using Python, Hive, and PySpark. Capable of translating complex technical concepts into actionable business insights while effectively managing stakeholder communication.
Highest-signal resume keywords
Advanced Machine LearningDeep LearningPython ProgrammingData AnalysisCloud Computing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningData AnalysisModel DevelopmentData PreprocessingStatistical AnalysisProgrammingAnalytical SkillsModel DeploymentCFR Experience
Soft Skills
Excellent CommunicationPresentation SkillsStakeholder ManagementProblem SolvingJudgment
Tools & Technologies
PythonHivePySparkGoogle CloudAmex Platforms
Industry Keywords
Model PerformanceBusiness GrowthAnalytical EffortsDecision-Making ProcessesLarge Datasets
Tech Stack
Tools & technologiesCloudPySparkPython
About the role
Key responsibilities & impact- Leverage advanced ML techniques to innovate for the next generation of models and drive business growth
- Conduct case reviews to generate insights for improving the model performance and decision-making processes
- Collaborate with relevant stakeholders to ensure alignment of analytical and modeling efforts with business objectives, effectively managing stakeholder expectations and communication throughout the project lifecycle
- Bring in ideas by incorporating external perspectives through reading research papers and identify appropriate use cases to enhance model development and innovation
Requirements
What you’ll need- Graduate/Post Graduate Degree in Statistics/Mathematics/Economics/ Engineering/Management from a reputed institute.
- 2+ years relevant CFR experience in Analytical/Modelling Skills
- Proficiency in data analysis and programming languages such as Python, Hive, PySpark.
- Strong coding skills and hand-on experience with advanced Machine Learning, Deep Learning, AI algorithms
- Familiarity with cloud computing platforms like Google Cloud for model training.
- Experience in handling large datasets and implementing data preprocessing techniques
- Excellent communication and presentation skills, with the ability to translate business problems into technical solutions and explain complex technical concepts to non-technical stakeholders.
- Demonstrated ability to provide insight and accurate judgment in addressing and resolving business challenges and opportunities
- Knowledge of Amex platforms is preferred
- Experience in building and deploying models
- Experience in working with Agents and associated risks
Benefits
Comp & perks- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities