Data Science L2
Guatemala
Data Scientist L2
Responsibilities
- Data Analysis and Modeling: Leverage your analytical skills to identify patterns, trends, and insights in large data sets.- Model Development and Validation:Use industry standard techniques to create features, clean datasets and develop pipelines to train and serve our models (focused primarily on classification models).- Credit Risk Assessment: Evaluate the credit risk of potential borrowers using your developed models, effectively assigning credit scores or probability of default values. Think outside the box, we often use alternative data to create our scores, use common industry practices but don’t be afraid to bring on creative solutions.- Feature Engineering: Identify and create meaningful features that enhance the predictive power of your models and capture the creditworthiness of individuals.- Cross-functional Collaboration: Work with other teams to provide insights, build models and participate in technical decision making.- Monitoring and Performance Evaluation: Continuously track the performance of deployed models, assess their metrics, and refine them as necessary to keep up with changes in behavior, market conditions, or regulations.- Research and Innovation: Stay updated with the latest advancements in data science and machine learning, and experiment with new approaches to credit risk assessment.
Requirements
- Background in Data Science, Statistics, Computer Science or a related field with programming knowledge. [MUST]- Background in Data Engineering is a Plus. [DESIRABLE]- AWS Services knowledge is a Plus [DESIRABLE]- 1-2 years of experience in Data Science, Data/Business Analytics (with ML knowledge). [MUST]- 1-2 yeas of experience in ML applied to financial risk [DESIRABLE]- 2+ years of Python and SQL experience [MUST]- The ideal candidate is a creative problem-solver who is passionate about diving into data, extracting insights, and turning them into actionable decisions. [MUST]
Responsibilities
- Data Analysis and Modeling: Leverage your analytical skills to identify patterns, trends, and insights in large data sets.- Model Development and Validation:Use industry standard techniques to create features, clean datasets and develop pipelines to train and serve our models (focused primarily on classification models).- Credit Risk Assessment: Evaluate the credit risk of potential borrowers using your developed models, effectively assigning credit scores or probability of default values. Think outside the box, we often use alternative data to create our scores, use common industry practices but don’t be afraid to bring on creative solutions.- Feature Engineering: Identify and create meaningful features that enhance the predictive power of your models and capture the creditworthiness of individuals.- Cross-functional Collaboration: Work with other teams to provide insights, build models and participate in technical decision making.- Monitoring and Performance Evaluation: Continuously track the performance of deployed models, assess their metrics, and refine them as necessary to keep up with changes in behavior, market conditions, or regulations.- Research and Innovation: Stay updated with the latest advancements in data science and machine learning, and experiment with new approaches to credit risk assessment.
Requirements
- Background in Data Science, Statistics, Computer Science or a related field with programming knowledge. [MUST]- Background in Data Engineering is a Plus. [DESIRABLE]- AWS Services knowledge is a Plus [DESIRABLE]- 1-2 years of experience in Data Science, Data/Business Analytics (with ML knowledge). [MUST]- 1-2 yeas of experience in ML applied to financial risk [DESIRABLE]- 2+ years of Python and SQL experience [MUST]- The ideal candidate is a creative problem-solver who is passionate about diving into data, extracting insights, and turning them into actionable decisions. [MUST]
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
1
0
0
Tags: AWS Business Analytics Classification Computer Science Credit risk Data analysis Engineering Feature engineering Machine Learning ML models Pipelines Python Research SQL Statistics
Region:
North America
Country:
Guatemala
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Power BI Developer jobsBusiness Intelligence Developer jobsPrincipal Data Engineer jobsBI Developer jobsStaff Data Scientist jobsStaff Machine Learning Engineer jobsPrincipal Software Engineer jobsJunior Data Analyst jobsData Science Intern jobsDevOps Engineer jobsData Manager jobsData Science Manager jobsSoftware Engineer II jobsAccount Executive jobsStaff Software Engineer jobsData Analyst Intern jobsLead Data Analyst jobsBusiness Data Analyst jobsAI/ML Engineer jobsSr. Data Scientist jobsData Specialist jobsData Governance Analyst jobsSenior Backend Engineer jobsData Engineer III jobsBusiness Intelligence Analyst jobs
Consulting jobsMLOps jobsAirflow jobsOpen Source jobsEconomics jobsLinux jobsKPIs jobsKafka jobsTerraform jobsGitHub jobsJavaScript jobsPostgreSQL jobsRDBMS jobsData Warehousing jobsNoSQL jobsClassification jobsBanking jobsStreaming jobsScikit-learn jobsPrompt engineering jobsRAG jobsComputer Vision jobsPhysics jobsGoogle Cloud jobsPandas jobs
Hadoop jobsOracle jobsScala jobsdbt jobsBigQuery jobsLooker jobsReact jobsGPT jobsData warehouse jobsR&D jobsLangChain jobsScrum jobsPySpark jobsDistributed Systems jobsMicroservices jobsCX jobsELT jobsIndustrial jobsSAS jobsOpenAI jobsJira jobsRedshift jobsModel training jobsTypeScript jobsJenkins jobs