Product Analytics Data Scientist — Remote & Growth

Remotedxb; Dubai; On-site; AED 250,000 - 400,000; Full time

Benefits offered by this job

Remote work flexibility

30 vacation days

Sabbatical after 2 years

16 weeks parental leave at 100% salary

Annual personal development budget (20

Job summary

Remotedxb is seeking a data scientist to own and evolve production data products, working with Product and Growth teams in a remote-friendly setup, and to shape semantic data models used across marketing and product analytics.

You will design experiments, develop dbt models, improve data quality, and monitor pipelines, translating insights for both technical and non-technical audiences while collaborating with Data Engineers to strengthen analytics infrastructure.

Qualifications

• Several years of experience as a Data Scientist in a modern product company.
• Strong Python and SQL skills.
• Experience building production data products that drive business impact.
• Solid understanding of experimentation, statistics, and hypothesis testing.
• Experience with modern data warehouses and transformation tools (dbt is a plus).
• Experience partnering directly with Product, Growth, or Marketing teams.

Responsibilities

• Own and evolve production data products, including marketing automation pipelines and core semantic data models
• Design and analyze experiments in collaboration with Product and Growth teams
• Develop dbt models, improve data quality, and monitor production pipelines
• Partner with stakeholders to solve ambiguous business problems and identify opportunities
• Communicate complex insights to both technical and non-technical audiences
• Work with Data Engineers to improve analytical infrastructure and experimentation frameworks

Skills

Python

SQL

Experimentation

Communication

Tools

dbt

Job description

Remotedxb is seeking a data scientist to own and evolve production data products, working with Product and Growth teams in a remote-friendly setup, and to shape semantic data models used across marketing and product analytics.

You will design experiments, develop dbt models, improve data quality, and monitor pipelines, translating insights for both technical and non-technical audiences while collaborating with Data Engineers to strengthen analytics infrastructure.