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Senior Data Scientist

Posted 2024-11-22

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💎 Seniority level: Senior, 3+ years

📍 Location: LATAM

🔍 Industry: Data Science Consultancy

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: PythonSQLHadoopMachine LearningData scienceSpark

Requirements:
  • MS degree in Statistics, Math, Data Analytics, or a related quantitative field.
  • 3+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting optimization.
  • Experience with one or more Advanced Data Science software languages (Python, R, SAS).
  • Proven ability to deploy machine learning models.
  • Experience with SQL and relational databases, query authoring and tuning.
  • Working familiarity with various databases including Hadoop/Hive.
  • Experience with Spark and data-frames in PySpark or Scala.
  • Comfortable with cloud-based platforms (AWS, Azure, Google).
  • Experience with Google Analytics, Adobe Analytics and/or Optimizely are a plus.
Responsibilities:
  • 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 on an Advanced Data Science Platform, summarizing data issues and conducting statistical analysis.
  • Training, validating, and cross-validating predictive models using cutting-edge techniques and documenting results for client deliverables.
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