Apply

Senior Data Scientist

Posted 2024-11-07

View full description

💎 Seniority level: Senior, 3+ years

📍 Location: Argentina, Colombia, Costa Rica, Mexico

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

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: PythonData AnalysisNumpyData analysisData sciencePandasCommunication SkillsAnalytical SkillsCollaborationMicrosoft Excel

Requirements:
  • 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.
Responsibilities:
  • 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.
Apply

Related Jobs

Apply

📍 LATAM

🔍 Data Science Consultancy

  • MS degree in Statistics, Math, Data Analytics, or a related quantitative field.
  • 3+ years of professional experience in Advanced Data Science, including predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, and time series forecasting.
  • Experience with Advanced Data Science software languages, such as Python, R, or SAS.
  • Proven ability to deploy machine learning models.
  • Experience with SQL, relational databases, and query authoring and tuning.
  • Familiarity with Hadoop/Hive, Spark, and data-frames in PySpark or Scala.
  • Strong problem-solving skills and comfortable with cloud-based platforms (AWS, Azure, Google).
  • Experience with Google Analytics, Adobe Analytics, and/or Optimizely are a plus.

  • Working with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
  • Solving challenges through diverse Data Science solutions and aligning stakeholders on strategies, deliverables, and roadmaps.
  • Developing project plans with milestones, dates, owners, and risk contingency.
  • Creating and maintaining efficient data pipelines within clients' architecture using SQL, Spark, and Cloud technologies.
  • Assembling large, complex datasets that meet business requirements and constructing analytics tools to provide actionable insights.
  • Performing data cleaning, QC, and integration, conducting statistical analysis for decision-making, and documenting results for client deliverables.

PythonSQLHadoopMachine LearningData scienceSpark

Posted 2024-11-21
Apply
Apply

📍 Argentina, Colombia, Costa Rica, Mexico

🔍 Marketing and Advertising

  • Studies in Statistics, Engineering, or Computer Science.
  • More than 3 years of business experience in Data Science, BI, or Econometrics.
  • Experience with Marketing Mix Model Modeling.
  • Proficiency in 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 business KPIs.
  • Aid in business planning including media mix, forecasting, and budget setting.
  • Synthesize results and translate findings into compelling stories for clients.

PythonData AnalysisMachine LearningNumpyData analysisData sciencePandasCommunication SkillsAnalytical SkillsCollaborationMicrosoft Excel

Posted 2024-11-07
Apply
Apply

📍 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
Apply
Apply

📍 Mexico

🔍 Fintech

🏢 Company: Oportun

  • 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.

Project ManagementPythonSQLAgileMachine LearningSparkCommunication Skills

Posted 2024-10-27
Apply
Apply

📍 United States, Latin America, India

🔍 Data services and solutions

🏢 Company: phData

  • Advanced degree or evidence of exceptional ability in engineering, computer science, mathematics, physics, chemistry, or operations research.
  • 3-5+ years hands-on experience in building models and developing algorithms for real-world applications.
  • Depth of knowledge in advanced mathematics, machine learning, and statistics.
  • Strong computer science fundamentals: data structures, algorithms, distributed systems.
  • Mastery of one or more data analysis languages such as R, Python, PySpark, and SQL.
  • Experience with data science tools including Python scripting, NumPy, SciPy, matplotlib, scikit-learn, Jupyter notebooks, bash scripting.
  • Experience with major data science algorithms and packages like XGBoost, Facebook Prophet, Random Forests.
  • Preferred familiarity with AWS, Azure, and Databricks, and experience with Generative AI and Large Language Models.
  • Exemplary verbal and written communication skills, previous consulting experience preferred.
  • Able to work under pressure, well organized, with attention to detail.

  • Collaborate closely with diverse stakeholders to gather business requirements and translate them into technical specifications.
  • Conduct data manipulation required for model pre- and post-processing.
  • Author reports, visualizations, and presentations to communicate processes and results.
  • Engage with interdisciplinary development teams to leverage MLOPs frameworks.
  • Take ownership for building models and implementing data science best practices.
  • Drive thought leadership in the data science community through open source contributions and presentations.

AWSPythonSQLBashData AnalysisGCPMachine LearningNumpySnowflakeAlgorithmsAzureData analysisData scienceData StructuresCommunication Skills

Posted 2024-10-24
Apply
Apply

📍 Americas or EMEA

🧭 Full-Time

💸 185000 - 185000 USD per year

🔍 Mobile subscriptions

🏢 Company: RevenueCat

  • Proficient in SQL and data modeling.
  • Experience building predictive models and production-ready data pipelines.
  • Driven by customer value rather than just scientific accuracy.
  • Comfortable in ambiguous environments and building from scratch.
  • Proven ability to facilitate data-informed discussions and storytelling.

  • Create data models, dashboards, and reports that deliver insights for customer decisions.
  • Ship data-enabled features such as Lifetime Value (LTV) prediction and experiment reliability appraisal.
  • Collaborate closely with product teams to shape future data features.

AWSPostgreSQLPythonSQLMachine LearningSnowflakeC (Programming language)Data science

Posted 2024-08-26
Apply