Senior Data Scientist

Blanc Labs

Senior Data Scientist collaborating with AI Technical Product Manager and ML Engineers at Blanc Labs. Analyzing data to drive actionable insights and measurable business value.

Posted 4/26/2026full-timeRemote • 🇦🇷 ArgentinaSeniorWebsite

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Partner with the AI Technical Product Manager to support data-driven decision-making across AI initiatives
Analyze datasets to assess the potential functional and business impact of proposed features
Define success metrics and measure post-implementation performance to evaluate actual impact
Provide actionable insights that inform product roadmap, prioritization, and ROI
Collaborate with ML Engineers to identify machine learning opportunities using proprietary datasets
Design and execute experiments (A/B testing, hypothesis testing) to validate product and AI feature effectiveness
Build dashboards, reports, and visualizations to communicate insights to technical and non-technical stakeholders
Ensure data quality, integrity, and proper usage across projects.

Requirements

What you’ll need

Strong experience in data science, analytics, or a related field
Proficiency in Python or R, and strong SQL skills
Experience with data analysis and statistical modelling
Ability to translate complex data into clear, actionable insights for business and product teams
Familiarity with product analytics and measuring feature impact (e.g., KPI definition, funnel analysis)
Experience working with cross-functional teams, including Product, Engineering, and ML
Strong problem-solving and communication skills
Nice-to-Have
Experience working with AI/ML teams or AI-powered products
Familiarity with machine learning concepts and identifying ML use cases
Experience with BI tools (e.g., Tableau, Looker, Power BI)
Exposure to large-scale or proprietary datasets
Experience in ROI modelling or business case development.

Benefits

Comp & perks

Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process.

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Hard Skills & Tools

data scienceanalyticsPythonRSQLdata analysisstatistical modellingA/B testinghypothesis testingROI modelling

Soft Skills

problem-solvingcommunicationcollaborationtranslating complex dataproviding actionable insights