- 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 for customer acquisition and operational efficiency.
- Performing data cleaning QC and integration on an Advanced Data Science Platform summarizing data issues and conducting statistical analysis for decision-making.
- Training validate and cross-validate predictive models using cutting-edge techniques and documenting results for client deliverables.
Qualifications :
- 5 years Professional experience in Advanced Data Science such as predictive modeling statistical analysis machine learning text mining geospatial analytics time series forecasting optimization.
- Demonstrated ability leading and mentoring data science teams.
- Experience with one or more Advanced Data Science software languages (Python R SAS).
- Proven experience in machine learning deep learning optimization and time series analysis.
- Experience with SQL and relational databases query authoring and tuning. Working familiarity with Snowflake is a plus.
- Experience with Spark and data-frames in PySpark or Scala.
- Strong problem-solving skills; ability to pivot complex data to answer business questions.
- Comfortable with cloud-based platforms (AWS Azure Google).
- Familiarity with cloud platforms like Databricks and Vertex AI for model development and deployment.
What about languages
- You will need excellent written and verbal English for clear and effective communication with the team.
Additional Information :
Our Perks and Benefits:
Learning Opportunities:
Travel opportunities to attend industry conferences and meet clients.
Mentoring and Development:
Celebrations & Support:
Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters.
Remote Work :
No
Employment Type :
Full-time
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 ow...
- 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 for customer acquisition and operational efficiency.
- Performing data cleaning QC and integration on an Advanced Data Science Platform summarizing data issues and conducting statistical analysis for decision-making.
- Training validate and cross-validate predictive models using cutting-edge techniques and documenting results for client deliverables.
Qualifications :
- 5 years Professional experience in Advanced Data Science such as predictive modeling statistical analysis machine learning text mining geospatial analytics time series forecasting optimization.
- Demonstrated ability leading and mentoring data science teams.
- Experience with one or more Advanced Data Science software languages (Python R SAS).
- Proven experience in machine learning deep learning optimization and time series analysis.
- Experience with SQL and relational databases query authoring and tuning. Working familiarity with Snowflake is a plus.
- Experience with Spark and data-frames in PySpark or Scala.
- Strong problem-solving skills; ability to pivot complex data to answer business questions.
- Comfortable with cloud-based platforms (AWS Azure Google).
- Familiarity with cloud platforms like Databricks and Vertex AI for model development and deployment.
What about languages
- You will need excellent written and verbal English for clear and effective communication with the team.
Additional Information :
Our Perks and Benefits:
Learning Opportunities:
Travel opportunities to attend industry conferences and meet clients.
Mentoring and Development:
Celebrations & Support:
Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters.
Remote Work :
No
Employment Type :
Full-time
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