АргентинаProduct Data Scientist
3 дн. назад
АргентинаRemote
machine learningdata analysisexperiment designpredictive modeling
Product Data Scientist partnering with product teams to drive growth through analysis, experimentation, and applied machine learning.
Обязанности
- Product strategy & growth
- Partner with Product Managers and vertical leadership to identify, size, and prioritize growth opportunities across the consumer journey.
- Establish metric frameworks — north-star metrics, funnel definitions, and performance drivers.
- Lead deep-dive analyses to understand consumer behavior, friction points, and performance trends.
- Translate ambiguous business questions into clear analytical approaches and actionable recommendations.
- Experimentation & applied data science
- Own the full experimentation lifecycle — hypothesis development, test design, statistical analysis, and business impact measurement.
- Develop predictive and statistical models that improve consumer experiences.
- Collaborate with Product and Engineering teams to translate findings into consumer-facing features.
- Analytics practices & tooling
- Use SQL, Python, Databricks, and BI tools to deliver analyses and reporting.
- Build and maintain metric definitions, dashboards, and measurement frameworks.
- Automate recurring analytical processes.
- Communicate findings clearly to both technical and non-technical stakeholders.
- Promote a data-driven product development culture across teams.
Требования
- 3+ years of professional experience in data science, product analytics, or a related analytical discipline — with demonstrated experience influencing product decisions through data.
- Strong proficiency in SQL and Python for data exploration, statistical analysis, automation, and predictive modeling.
- Hands-on experience with Databricks for analytical workflows, data processing, or model development — required.
- Proven experience designing, analyzing, and interpreting A/B tests, including statistical significance, power analysis, and common experimentation pitfalls.
- Strong understanding of product analytics — funnel optimization, metric development, cohort analysis, and behavioral segmentation.
- Working knowledge of applied statistics and machine learning techniques — regression, classification, propensity modeling, and/or causal inference.
- Experience developing dashboards and automating analytical workflows using modern BI and data tools.
- Excellent communication and collaboration skills — able to influence Product Managers, Engineers, and business stakeholders through data-backed recommendations.
- Bachelor’s or advanced degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative discipline, or equivalent practical experience.
Другое
- Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence . We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
- Following the acquisition of Tooploox , a premier AI and product development company, now offers true end-to-end delivery —from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
- We are looking for a Product Data Scientist to partner closely with Credit Cards and Banking product teams, shaping product strategy and driving growth through rigorous analysis, experimentation, and applied machine learning.
- You’ll work alongside Product Managers, Engineers, and business stakeholders to identify opportunities, influence product decisions, and measure the impact of new features — from optimizing how consumers discover and compare financial products to developing predictive tools such as approval odds and personalized recommendations.
- This is a hands-on, highly analytical role for someone comfortable exploring complex data, challenging product assumptions, designing experiments, and translating insights into decisions that ship.
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
- If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.