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Senior Data Scientist – Credit Risk
BIP Brasil. Develop statistical models for all of Bip Brasil’s business segments, from initial data processing through technical documentation of the solution .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical modeling and predictive analytics, utilizing programming languages such as SAS, R, and Python. Capable of developing BI solutions and collaborating with business teams to enhance data-driven decision-making.
Highest-signal resume keywords
Statistical ModelingSAS ProficiencyPython ProficiencyCredit Risk ModelsBI Software Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical ModelingPredictive ModelingMachine LearningDatabase ManipulationVariable SelectionData ProcessingSASRPythonCredit Risk Models
Soft Skills
Inquisitive MindsetLogical ReasoningEntrepreneurial Mindset
Tools & Technologies
BI SoftwareAWSGCPMicrosoft Technologies
Industry Keywords
Agile EnvironmentBusiness ConsultingData Science Practices
Tech Stack
Tools & technologiesAWSGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Develop statistical models for all of Bip Brasil’s business segments, from initial data processing through technical documentation of the solution
- Build predictive and machine learning models
- Develop analytics and BI solutions to deliver the best solution and customer experience
- Maintain direct contact with the business consulting team to understand challenges and potential solutions
- Develop models using different statistical methodologies and programming languages across a range of challenges and business areas
- Suggest new approaches, techniques, or technologies to advance data science practices and add value for users and clients
Requirements
What you’ll need- Bachelor’s degree required; all fields of study are welcome
- Previous experience in statistical modeling
- Understanding of the modeling process, including developing code for database manipulation; variable selection, processing, and analysis; and discussions with business teams
- Proficiency in SAS, R, or Python, including the development of macros and functions
- Inquisitive mindset with strong logical reasoning skills
- Entrepreneurial mindset, with an appetite for business challenges and an interest in working in the dynamic consulting environment
- Previous experience with credit risk models: scorecards, PD, EAD, and LGD
- Proficiency in more than one programming language
- Hands-on experience with BI software
- Experience working on projects using AWS, GCP, or Microsoft technologies
- Experience working in an agile environment
Benefits
Comp & perks- All Points (points program for flights and accommodations)
- Medical insurance
- Dental insurance
- Life insurance
- Pet insurance plan
- Mobility benefits, including fuel and Uber/99 options
- Flex Reimbursement (glasses, vaccines, education, concerts, and more)
- Meal and/or food allowance
- Birthday day off
- Wellhub (formerly Gympass)
- Alelo Club, offering discounts at various stores and pharmacies
- 180-day maternity leave
- 30-day paternity leave
- Childcare assistance during the baby’s first year
- Transportation allowance, according to project or department needs
- Annual bonus program
- Commission for referring new clients
- A global TRAINING and DEVELOPMENT center with the latest content and courses available in the market
- Flex Time—a dedicated period each week for your professional development
- Mentoring programs with leaders recognized in their fields
- Semiannual performance reviews
- Feedback culture and recurring 1:1 meetings with your manager and team
- Personalized Development Plan support
- Darwin—a global development program for young talent
- Grounding—a global training program for newly hired professionals
- Induction—international onboarding
- Spinnaker—training focused on strategic skills for Managers and Senior Managers