Associate Data Scientist I
San Jose, San Jose, Costa Rica
hace 3 días

Role Proficiency :

Develop data-driven solutions for difficult business challenges. Utilizing analytical statistical and programming skills to collect analyze and interpret large data sets with supervision.

Outcomes :

  • Work with stakeholders throughout the organization to identify opportunities for leveraging data from our customers to create models that can generate business insights
  • Build predictive models and machine learning algorithms to analyse large amounts of information to discover trends and patterns.
  • Mine and analyse data from company databases to drive optimization and improvement of product development marketing techniques business strategies etc
  • Develop processes and tools to monitor and analyse model performance and data accuracy.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Set FAST goals and provide feedback on FAST goals of reportees
  • Measures of Outcomes :

  • Number of business processes changed due to vital analysis.
  • Models applied to Business Problems
  • Number of Business Intelligent Dashboards developed
  • Number of productivity standards defined for project
  • Number of mandatory trainings completed
  • Outputs Expected :

    Statistical Techniques :

  • Apply statistical techniques for example regression properties of distributions statistical tests etc. to analyse data.
  • Machine Learning Techniques :

  • Apply machine learning techniques like clustering decision tree learning artificial neural networks etc. to streamline data analysis.
  • Creating advanced algorithms :

  • Create advanced algorithms and statistics using regression simulation scenario analysis modelling etc.
  • Data Visualization :

  • Visualize and present data for stakeholders using : Periscope Business Objects D3 ggplot etc.
  • Management and Strategy :

  • Oversee the activities of analyst personnel and ensures the efficient execution of their duties.
  • Critical business insights :

  • Mines the business’s database in search of critical business insights and communicates findings to relevant departments.
  • Code :

  • Create efficient and reusable code meant for the improvement manipulation and analysis of data.
  • Version Control :

  • Manages project codebase through version control tools e.g. git bitbucket etc.
  • Prescriptive analytics :

  • Attempts to identify what business course of action to make
  • Create Reports :

  • Creates reports depicting the trends and behaviours from the analysed data
  • Train end users on new reports and dashboards.
  • Document :

  • Create documentation for personal work as well as performing a peer review of documentation of others' work
  • Manage knowledge :

  • Consume and contribute to project related documents share point libraries and client universities
  • Status Reporting :

  • Report status of tasks assigned
  • Comply with project related reporting standards and process
  • Skill Examples :

  • Excellent pattern recognition and predictive modelling skills
  • Extensive background in data mining and statistical analysis
  • Expertise in machine learning techniques and creating algorithms.
  • Analytical Skills : Ability to work with large amounts of data : facts figures and number crunching.
  • Communication Skills : Communicate effectively with a diverse population at various organization levels with the right level of detail.
  • Critical Thinking : Data Analysts must look at numbers trends and data and come up with new conclusions based on the findings.
  • Attention to Detail : Making sure to be vigilant in the analysis to come to correct conclusions.
  • Mathematical Skills to estimate numerical data.
  • Work in a team environment
  • Proactively ask for and offer help
  • Knowledge Examples :

    Additional Comments :


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