Senior Data Scientist

Better Engineers. Better Results. BetterEngineer connects accomplished Software Engineers across the Americas with our portfolio of high-growth and newsworthy technology companies in the United States. Senior Engineers in the SalsaMobi network work remotely with some of the most interesting tech companies in the world. Join us today and experience a life where talent has no borders.

We are seeking a Data Scientist with strong experience in designing experiments, conducting statistical analysis, and working closely with product teams. The ideal candidate is deeply analytical, fluent in classical machine learning and statistics, and passionate about driving product insights through rigorous data exploration and testing.

In this role, you'll collaborate cross-functionally to guide product decisions using A/B testing, data visualization, and product analytics. While deep learning is not a core focus, a strong foundation in statistical thinking and classical ML techniques is essential.

Responsibilities:

• Design, implement, and analyze experiments (e.g., A/B tests) to evaluate product features and drive decision-making.
• Collaborate with product managers, designers, and engineers to define success metrics and uncover actionable insights.
• Apply classical machine learning and statistical techniques to analyze user behavior and product performance.
• Develop and maintain clear, effective data visualizations to communicate findings to technical and non-technical audiences.
• Use SQL to query and analyze large-scale datasets efficiently.
• Translate complex data into strategic recommendations for product improvements and user engagement.
• Contribute to the development of robust data pipelines and experimentation infrastructure.

Qualifications:

• Proven experience in experiment design, statistical analysis, and working with product teams.
• Proficiency in classical machine learning, hypothesis testing, regression, and other core statistical methods.
• Strong command of SQL and experience working with large datasets.
• Familiarity with product analytics tools and A/B testing frameworks.
• Experience creating compelling data visualizations with tools such as Python (matplotlib, seaborn), R (ggplot2), or BI tools (e.g., Looker, Tableau).
• Background in neuroscience, statistics, or product analytics is desirable.
• Bonus points for experience working with satellite, geospatial, or signals data.