Andiamo
Staff Data Scientist - Global Tech Leader
We are seeking an accomplished Principal Data Scientist to tackle some of the most complex and high-impact problems in modern product development. This role sits at the intersection of data science, engineering, and strategy—shaping how our organization uses data to drive decisions, design products, and create transformative user experiences. You’ll work with massive, high-dimensional data sets, applying advanced statistical methods, machine learning, and causal inference to answer questions that directly influence product vision and business outcomes. You’ll architect large-scale experiments, build predictive models, and partner with executives to design strategies that are grounded in rigorous quantitative analysis. This is an opportunity to go beyond dashboards—here, you’ll uncover hidden patterns in data, tell compelling data-driven stories, and guide teams through ambiguity toward impact. You’ll join a world-class analytics community committed to solving intellectually demanding problems, sharing knowledge, and advancing the craft of data science at scale. What You’ll Do
Solve Complex Analytical Problems: Apply advanced statistical methods, ML models, and experimental design to extract insights from massive data sets and inform key decisions. Drive Product Strategy: Partner with product, engineering, and design teams to shape the direction of features and platforms using predictive modeling, causal inference, and goal-setting frameworks. Experiment at Scale: Design, implement, and interpret large-scale experiments to test hypotheses, quantify impact, and refine long-term strategy. Build Predictive Systems: Develop models that forecast user behavior, product performance, and system dynamics to guide investment and innovation. Influence Executives: Communicate insights and recommendations to leadership with clarity and precision, framing technical findings in business terms that inspire action. Architect Data Platforms: Collaborate with engineering leaders to define instrumentation, data pipelines, and scalable infrastructure that enable analytics across the organization. Guide Teams with Data: Define success metrics, forecast key outcomes, and ensure cross-functional alignment through measurable goals. Mentor & Lead: Support the growth of other data scientists by sharing best practices in statistical methodology, experimentation, and data storytelling. What We’re Looking For
Technical Mastery: 8+ years of experience applying statistical modeling, causal inference, machine learning, or optimization to real-world product or business problems. Programming Proficiency: Deep expertise with SQL, Python, R, or other statistical/mathematical programming tools; strong software engineering fundamentals a plus. Analytical Breadth: Experience with experimentation platforms, Bayesian methods, time-series forecasting, and predictive modeling at scale. Leadership Experience: Demonstrated success leading analytics initiatives, shaping product roadmaps, and influencing senior stakeholders. Communication Excellence: Ability to translate complex technical results into actionable insights for executives and cross-functional teams. Educational Foundation: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or Operations Research; advanced degree (Master’s or PhD) highly preferred. Preferred Qualifications
10+ years of experience in product analytics or applied data science with proven impact at scale. Track record of influencing C-suite or executive strategy through data-driven insights. Deep knowledge of experimentation, machine learning systems, and advanced statistical methods. Why Join: This isn’t just an analytics role—it’s a chance to push the boundaries of applied data science. You’ll be solving some of the most challenging data problems in AI and product development, working with world-class colleagues, and shaping decisions that affect millions of users and billions of data points.
#J-18808-Ljbffr
We are seeking an accomplished Principal Data Scientist to tackle some of the most complex and high-impact problems in modern product development. This role sits at the intersection of data science, engineering, and strategy—shaping how our organization uses data to drive decisions, design products, and create transformative user experiences. You’ll work with massive, high-dimensional data sets, applying advanced statistical methods, machine learning, and causal inference to answer questions that directly influence product vision and business outcomes. You’ll architect large-scale experiments, build predictive models, and partner with executives to design strategies that are grounded in rigorous quantitative analysis. This is an opportunity to go beyond dashboards—here, you’ll uncover hidden patterns in data, tell compelling data-driven stories, and guide teams through ambiguity toward impact. You’ll join a world-class analytics community committed to solving intellectually demanding problems, sharing knowledge, and advancing the craft of data science at scale. What You’ll Do
Solve Complex Analytical Problems: Apply advanced statistical methods, ML models, and experimental design to extract insights from massive data sets and inform key decisions. Drive Product Strategy: Partner with product, engineering, and design teams to shape the direction of features and platforms using predictive modeling, causal inference, and goal-setting frameworks. Experiment at Scale: Design, implement, and interpret large-scale experiments to test hypotheses, quantify impact, and refine long-term strategy. Build Predictive Systems: Develop models that forecast user behavior, product performance, and system dynamics to guide investment and innovation. Influence Executives: Communicate insights and recommendations to leadership with clarity and precision, framing technical findings in business terms that inspire action. Architect Data Platforms: Collaborate with engineering leaders to define instrumentation, data pipelines, and scalable infrastructure that enable analytics across the organization. Guide Teams with Data: Define success metrics, forecast key outcomes, and ensure cross-functional alignment through measurable goals. Mentor & Lead: Support the growth of other data scientists by sharing best practices in statistical methodology, experimentation, and data storytelling. What We’re Looking For
Technical Mastery: 8+ years of experience applying statistical modeling, causal inference, machine learning, or optimization to real-world product or business problems. Programming Proficiency: Deep expertise with SQL, Python, R, or other statistical/mathematical programming tools; strong software engineering fundamentals a plus. Analytical Breadth: Experience with experimentation platforms, Bayesian methods, time-series forecasting, and predictive modeling at scale. Leadership Experience: Demonstrated success leading analytics initiatives, shaping product roadmaps, and influencing senior stakeholders. Communication Excellence: Ability to translate complex technical results into actionable insights for executives and cross-functional teams. Educational Foundation: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or Operations Research; advanced degree (Master’s or PhD) highly preferred. Preferred Qualifications
10+ years of experience in product analytics or applied data science with proven impact at scale. Track record of influencing C-suite or executive strategy through data-driven insights. Deep knowledge of experimentation, machine learning systems, and advanced statistical methods. Why Join: This isn’t just an analytics role—it’s a chance to push the boundaries of applied data science. You’ll be solving some of the most challenging data problems in AI and product development, working with world-class colleagues, and shaping decisions that affect millions of users and billions of data points.
#J-18808-Ljbffr