Senior Data Scientist

Posted 2024-10-27

💎 Seniority level: Senior, 3+ years

📍 Location: Mexico

🔍 Industry: Fintech

🏢 Company: Oportun

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: Project ManagementPythonSQLAgileMachine LearningSparkCommunication Skills

Master’s degree or PhD in Statistics, Mathematics, Computer Science, Engineering, Economics, or other quantitative disciplines (Bachelor’s degree with significant relevant experience will also be considered).
Hands-on experience with machine learning techniques, including Gradient Boosting, Logistic Regression, and Neural Networks.
3+ years of experience in data extraction, cleaning, analysis, and building reusable data pipelines; proficient in SQL, Spark SQL, and/or Hive.
3+ years of experience with modern machine learning toolsets and programming languages, especially Python.
Excellent written and oral communication skills.
Strong stakeholder management and project management skills.
Experience with AWS EMR, SageMaker, HDFS, Hive, Shell script, and other big data tools is a plus.

Develop data products and machine learning models used in Risk, Fraud, Collections, and portfolio management.
Build accurate and automated monitoring tools to track model performance.
Create a model deployment platform to expedite model implementation.
Establish end-to-end reusable pipelines from data acquisition to model output delivery.
Lead initiatives driving business value, including project planning and stakeholder management.
Facilitate Model Governance Activities, including Model Validations and Monitoring.

Posted 2024-11-07

📍 Argentina, Colombia, Costa Rica, Mexico

🔍 Data Science, Media, Production, Commerce, Content, Technology

Studies in Statistics, Engineering, and/or Computer Science.
3+ years of business experience in Data Science, Business Intelligence or Econometrics.
Experience with Marketing Mix Model Modeling.
Proficiency with SAS and/or Python.

Uncover deep analytical insights to drive high-impact results for international clients.
Build statistical/econometric models (Marketing Mix) to explain and predict client business KPIs.
Aid in business planning including media mix, forecasting, and budget setting.
Synthesize results and translate findings into compelling stories for clients.

PythonData AnalysisNumpyData analysisData sciencePandasCommunication SkillsAnalytical SkillsCollaborationMicrosoft Excel

Posted 2024-11-07

Posted 2024-10-29

📍 Mexico City and surrounding 16 boroughs

🧭 Full-Time

💸 809900 - 1065100 MXN per year

🔍 Visual development platform

Business-level fluency to read, write and speak in English.
Must live in Mexico City and/or the surrounding 16 boroughs.
4+ years of experience in a Data Science or similar position.
Interest in mentoring and developing team members’ technical skills.
Experience in providing high-quality analysis impacting company strategy.
Expertise in applied statistics, predictive modeling, hypothesis testing, segmentation, and experimentation.
Proficiency in SQL and a programming language like Python or R.
Strong curiosity about business and product data nuances.
Ability to solve complex problems in a fast-paced environment and communicate effectively.

Enable product teams to strategize around customer engagement and growth opportunities.
Define product/business success metrics and create monitoring tools for KPIs.
Lead both technical and non-technical team members in executing experiments and addressing business questions.
Develop data infrastructure and machine learning capabilities, collaborating on data pipeline and tooling improvements.

PythonSQLMachine LearningSnowflakeTableauStrategyData engineeringData science

Posted 2024-10-29

🔧 Requirements