Driven Technologies

Data Scientist

Driven Technologies

full-time

Posted on:

Location Type: Remote

Location: Costa Rica

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Tech Stack

HadoopMySQLOraclePerlPythonSQL

About the role

  • An expert in quantitive analysis, data mining, and the presentation of data beyond the numbers that understands how users interact with both consumer and business products
  • Able to partner with Product and Engineering teams to solve problems and identify trends and opportunities
  • Inform, influence, support and execute product decisions and product launches
  • Critical thinker with strong communication skills
  • Reliable, self-motivated, shows initiative
  • Able to work well within a team and independently
  • Product Operations and designing and evaluating experiments
  • Monitoring key product metrics, understanding root causes of changes in metrics
  • Building and analyzing dashboards and reports
  • Building key data sets to empower operational and exploratory analysis
  • Evaluating and defining metrics
  • Exploratory analysis
  • Proposing what to build in the next roadmap
  • Understanding ecosystems, user behaviors, and long-term trends
  • Identifying new levers to help move key metrics
  • Building models of user behaviors for analysis or to power production systems
  • Influencing product teams through presentation of data-based recommendations
  • Communicating state of business experiment results, etc to product teams
  • Spreading best practices to analytics and product teams
  • Working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica
  • Automating analyses and authoring pipeline via SQL and Python-based framework

Requirements

  • Masters Degree in computer Science, Engineering, Operations Research, Econometrics, Statistics or related technical field
  • Experience solving analytical problems using quantitative approaches
  • Experience communicating quantitive analysts results
  • Knowledge with relational databases and SQL
  • Development experience in any scripting language (OPHO, Python, Perl, etc.)
  • Knowledge of statistics (e.g. hypothesis testing, regression)
  • Experience manipulating data sets through statistical software (ex. R. SAS) or other methods
  • Experience working with distributed computing tools (Map Reduce, Hadoop, Hive, etc) is a plus
  • Excellent communication and presentation skills
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
quantitative analysisdata miningSQLPythonHadoopHiveMySQLOracleVerticastatistical software
Soft Skills
critical thinkingcommunicationreliabilityself-motivationinitiativeteamworkindependenceinfluencingpresentationproblem-solving
Certifications
Masters Degree in Computer ScienceMasters Degree in EngineeringMasters Degree in Operations ResearchMasters Degree in EconometricsMasters Degree in Statistics