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🔍 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
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