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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Science and Machine Learning, with a strong focus on developing and deploying scalable analytical solutions and Generative AI applications. Proficient in translating complex business requirements into actionable insights through advanced analytical frameworks and data processing techniques.
Highest-signal resume keywords
Python ProgrammingMachine Learning Model DeploymentAdvanced SQL SkillsETL/ELT Pipeline DevelopmentData Science Techniques
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical ModelingHypothesis TestingSupervised LearningUnsupervised LearningExperiment DesignA/B TestingData ModelingCI/CD ImplementationModel Monitoring
Soft Skills
Analytical Problem-SolvingVerbal CommunicationWritten CommunicationStakeholder InfluenceOrganizational Skills
Tools & Technologies
PySparkScikit-learnXGBoostLightGBMData Governance Platforms
Industry Keywords
BankingFinancial ServicesRegulated IndustriesData QualityData Lineage
Tech Stack
Tools & technologiesETLPySparkPythonScikit-LearnSQL
About the role
Key responsibilities & impact- Analyze large and complex datasets to identify patterns, trends, risks, and business opportunities
- Develop analytical frameworks for client experience, pricing optimization, customer acquisition, cross-sell, and retention
- Translate ambiguous business requirements into structured analytical and data science solutions
- Design, develop, validate, and deploy machine learning models
- Deliver models that generate measurable business value and support decision-making
- Develop and enhance Generative AI applications
- Design, build, and maintain scalable ETL/ELT pipelines and data workflows supporting analytics and AI initiatives
- Partner with data engineering teams to improve data quality, lineage, governance, and platform scalability
- Collaborate with business, product, operations, technology, and data teams to prioritize initiatives and deliver impactful solutions
- Present analytical findings, model outcomes, and recommendations to technical and non-technical stakeholders, including senior management
- Apply data science, machine learning, and Generative AI techniques to solve complex business problems and deliver scalable analytical solutions
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related quantitative discipline
- 3 to 5 years of experience in Data Science, Machine Learning, Advanced Analytics, or related disciplines
- Experience working within banking, financial services, or other highly regulated industries is preferred
- Demonstrated experience deploying production-grade machine learning or AI solutions
- Strong proficiency in Python (required)
- Advanced SQL skills
- Experience with PySpark and large-scale data processing
- Hands-on experience with supervised and unsupervised learning techniques
- Hands-on experience with statistical modeling and hypothesis testing
- Hands-on experience with experiment design and A/B testing
- Experience with Scikit-learn
- Experience with XGBoost and/or LightGBM
- Experience with ETL/ELT pipeline development
- Experience with data modeling
- Experience with CI/CD implementation for ML workloads
- Experience with model monitoring and performance management
- Experience with version control and deployment frameworks
- Strong analytical and problem-solving skills
- Ability to identify trends, patterns, and actionable insights from structured and unstructured data
- Ability to formulate analytical methodologies and independently execute complex analyses
- Strong verbal and written communication skills
- Ability to influence stakeholders through data-driven recommendations
- Comfortable working in cross-functional and matrixed organizations
- Detail-oriented with strong organizational skills
- Ability to manage multiple priorities and deliver in a fast-paced environment
- Strong sense of accountability and ownership for outcomes
Benefits
Comp & perks- Equal opportunity employment
- Reasonable accommodation for persons with disabilities