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Tech Stack
Tools & technologiesNumpyPandasPythonScikit-LearnSQL
About the role
Key responsibilities & impact- Learn from stakeholders on how to connect business problems to data-driven solutions
- Leverage advanced statistical and machine learning methods to design modeling solutions
- Develop code and automated processes to combine and transform large volumes of data
- Keep abreast with emerging trends in machine learning and identify new tools
- Synthesize findings into actionable insights and communicate them clearly
- Proactively identify and communicate challenges, opportunities, and risks
Requirements
What you’ll need- 1 to 3 years of hands-on experience in data science, machine learning, or artificial intelligence, preferably in fintech/ financial services industry
- Excellent analytical, creative problem-solving, and critical thinking skills
- Master’s or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Data Science, Operations Research, Computer Science
- Advanced knowledge of SQL and experience creating and managing large datasets
- Working knowledge of Python or R and experience with data science libraries such as lightgbm, scikit-learn, pandas, numpy
- Strong communication and presentation skills
Benefits
Comp & perks- health insurance
- dental insurance
- vision insurance
- retirement savings plan
- paid time off
- health savings account
- flexible spending accounts
- life insurance
- disability insurance
- tuition reimbursement
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencemachine learningartificial intelligenceSQLPythonRlightgbmscikit-learnpandasnumpy
Soft Skills
analytical skillscreative problem-solvingcritical thinkingcommunication skillspresentation skills
Certifications
Master’s degreePh.D. degree
