Data & Visualization Consultant
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- Buenos Aires
- Permanente
- Tiempo completo
- Selecting features, building and optimizing classifiers using machine learning techniques
- Execute machine learning projects using state-of-the-art methods
- Extending company's data with third party sources of information when needed
- Creating automated anomaly detection systems and constant tracking of its performance
- Collect data from a wide variety of corporate databases, including various SQL databases -Microsoft, Redshift, Teradata, Oracle, Netezza, etc.-, Access, Excel, plain or formatted text files, OLAP cubes -Microsoft, Oracle-, and no-SQL databases.
- Parse data out of poorly structured XML and invalid HTML documents
- Use regular expressions to extract information from un-structured text documents
- Deal with missing data through multiple-imputation or the use of advanced models
- Implement automated data ingestion and transformation processes.
- Build effective, reliable, and robust ETL processes that govern the data ingestion flow.
- Design database models, consistent table structures, and advanced dimensional schemas that carry out data quality and consistency standards.
- Apply modeling approaches, business intelligence patterns, and data management techniques.
- Review and analyze legacy code/scripts to understand data processing logic and business rules.
- Apply statistical learning toolsets to build predictive models that enrich, expand, and allow a deeper understanding of data analyses and solutions.
- Use interactive data visualization tools, such as Tableau and Power BI to present results in a compelling manner.
- Tell a convincing story to C-level executives using visual charts and dashboards
- Present complicated technical findings to a non-technical audience.
- Collaborate with clients and stakeholders, building relationships, influencing, and providing advice to key decision-makers.
- Prepare client-ready documents and compelling presentation materials.
- Bachelor's degree with concentration in Computer Science, Engineering or another quantitative field
- Data-oriented personality
- More than 1 year of related experience.
- Knowledge of any of the following languages: Python, JavaScript, C#, or similar
- Familiarity with at least one ETL tool (such as Alteryx, KNIME, SSIS, Pentaho, or DataStage).
- Comfort with big data architectures, both on cloud platforms like AWS/Azure/others and on-premise.
- SQL skills, such as CTEs and windows functions, to work with extensive amounts of data at various aggregation levels.
- Ability to apply statistical learning languages to build predictive models that enrich, expand, and allow deeper understanding of data analyses and solutions.
- Distributed systems knowledge, specially of HDFS and the Hadoop ecosystem.
- Strong verbal and written communication skills (in English). Proficiency in other languages is a plus.
- Ability to synthesize the requests received from team members at client sites.
- Capability to be a creative, innovative problem solver -but using simple ideas
- Motivated to discover and learn new analytical techniques and software tools to improve the quality of our work
- Authorized to work in applicable country and travel freely internationally without restrictions or visa sponsorship
- Desire to actively engage in geographically dispersed teams.
- Ability and willingness to work long hours and travel if necessary, to meet client demands
- Ability to work full time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday.