Data Scientist

This is a fully remote position, open to applicants in Costa Rica.

📋 Description

• A specialist in quantitative analysis, data mining, and presenting data insights that goes beyond mere numbers, with a solid understanding of how users engage with both consumer and business products.

• Capable of collaborating with Product and Engineering teams to address challenges and pinpoint trends and opportunities.

• Responsible for informing, influencing, supporting, and executing product decisions as well as product launches.

• A critical thinker with exceptional communication abilities.

• Dependable, self-driven, and proactive.

• Able to collaborate effectively within a team as well as work independently.

• Involved in Product Operations and the design and evaluation of experiments.

• Responsible for monitoring key product metrics and understanding the root causes behind metric fluctuations.

• Tasked with constructing and analyzing dashboards and reports.

• Responsible for creating essential data sets to facilitate operational and exploratory analysis.

• Engaged in the evaluation and definition of metrics.

• Conducting exploratory analysis.

• Proposing new features for inclusion in the next roadmap.

• Understanding ecosystems, user behaviors, and long-term trends.

• Identifying new strategies to influence key metrics.

• Developing models of user behaviors for analysis or to enhance production systems.

• Influencing product teams by presenting data-driven recommendations.

• Communicating the status of business experiment outcomes, among other insights, to product teams.

• Promoting best practices among analytics and product teams.

• Primarily working with Hadoop and Hive, with occasional use of MySQL, Oracle, and Vertica.

• Automating analyses and creating pipelines using SQL and a Python-based framework.

⛳️ Requirements

• A Master’s Degree in Computer Science, Engineering, Operations Research, Econometrics, Statistics, or a related technical discipline.

• Proven experience in solving analytical challenges using quantitative methods.

• Demonstrated ability to communicate quantitative analysis results effectively.

• Familiarity with relational databases and SQL.

• Development experience in any scripting language (such as PHP, Python, Perl, etc.).

• Knowledge of statistical concepts (e.g., hypothesis testing, regression).

• Experience in manipulating data sets using statistical software (e.g., R, SAS) or other techniques.

• Experience with distributed computing tools (MapReduce, Hadoop, Hive, etc.) is advantageous.

• Outstanding communication and presentation skills.

🏝️ Benefits

• Competitive salary and performance bonuses.

• Comprehensive health benefits including medical, dental, and vision coverage.

• Generous paid time off and flexible work arrangements.

• Opportunities for professional development and career advancement.

• Collaborative and inclusive work environment.