Product Data Scientist

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🌐 Argentina, Brazil, +1 more countries – Remote

🇦🇷 Argentina – Remote 🇧🇷 Brazil – Remote 🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Solvd, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Solvd, Inc. is a global software engineering and consulting company that delivers comprehensive end-to-end solutions. Founded in 2011, Solvd offers core engineering services, including software development for web and mobile platforms, digital experience and design, data and AI/ML solutions, and cloud platform modernization. The company is an AWS partner and is known for optimizing resources, solving complex problems, and enhancing user satisfaction. Solvd emphasizes innovation and quality assurance, employing over 800 international professionals across 8 offices worldwide. The company prides itself on transforming businesses by providing feature-rich digital products, manual testing, automation, and employing cutting-edge technology solutions. Their proprietary tools like Zebrunner and Carina aid in improving development and QA processes. Solvd operates with a focus on collaboration, top talent cultivation, and customized technical solutions tailored to individual client needs, serving clients across 15 countries.

📋 Description

• Partner with Product Managers and vertical leadership to identify, size, and prioritize growth opportunities across the consumer journey • Establish north-star metrics, funnel definitions, and performance drivers • Lead deep-dive analyses of consumer behavior, friction points, and performance trends • Translate ambiguous business questions into clear analytical approaches and actionable recommendations • Own the full experimentation lifecycle, including 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 • 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 technical and non-technical stakeholders • Promote a data-driven product development culture across teams

🎯 Requirements

• 3+ years of professional experience in data science, product analytics, or a related analytical discipline • 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 • Experience designing, analyzing, and interpreting A/B tests, including statistical significance, power analysis, and common experimentation pitfalls • Strong understanding of product analytics, including funnel optimization, metric development, cohort analysis, and behavioral segmentation • Working knowledge of applied statistics and machine learning techniques, including 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 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 • Legal right to work in the country where the role is based

🏖️ Benefits

• Equal opportunity employer • Inclusive environment prioritizing continuous learning, innovation, and ethical AI standards • Collaboration with a global team across continents and cultures • Opportunity to work on real-world AI-driven projects across key industries • Professional growth through continuous learning and innovation

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