Senior Data Scientist

Posted 3 months agoViewed

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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 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.

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, conducting statistical analysis for decision-making, and documenting results for client deliverables.

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