Senior Data Scientist

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

📋 Description

• Take ownership of comprehensive experimentation and analytical processes that enable the organization to learn rapidly and make data-driven decisions with confidence.

• Collaborate closely with product teams, data engineering, and business stakeholders to align on customer and business objectives, then design appropriate experiments, features, metrics, and models.

• Initially concentrate on enhancing our data pipeline for media data (audio and text) to improve the throughput, quality, and utility of data as it moves through our systems.

• Play a key role in advancing our data infrastructure to facilitate more sophisticated capabilities, including the eventual development of innovative datasets and internal modeling workflows (e.g., for voice or multimodal data).

• Design, analyze, and interpret experiments across various tools, services, and technologies to determine the most effective solutions, yielding actionable insights that shape product strategy, operations, and future research.

• Convert complex analytical results into straightforward business insights and product suggestions, occasionally contributing to broader thought leadership and research narratives.

⛳️ Requirements

• Strong analytical expertise (e.g., statistics, experimentation, causal inference) with several years of hands-on experience in data science or research-focused positions.

• Ability to operate independently and practically in a startup atmosphere, striking a balance between speed and thoroughness.

• Exceptional communicator capable of bridging the gap between technical and business audiences — adept at asking pertinent questions, framing hypotheses, and effectively presenting findings.

• Proven experience in guiding experimentation from design through interpretation, linking results back to product and business drivers.

• Nice to Have

• Familiarity with media-centric data (audio, video, text) and associated tools or models.

• Understanding of machine learning workflows, model evaluation, and production experimentation frameworks.

• Additional experience with object-oriented programming languages, particularly JavaScript.

• Bonus points if you have collaborated closely with voice AI, speech technologies, or related media AI labs or contributed to their research initiatives.

🏝️ Benefits

• Competitive compensation with equity potential.

• Opportunity to influence the direction of analytics and modeling at an early stage.

• A collaborative team environment with a positive, can-do attitude! :)