Andiamo
Staff Data Scientist - Global Tech Leader
Andiamo, San Francisco, California, United States, 94199
Overview
Staff Data Scientist – Global Tech Leader. Principal Data Scientist role focused on tackling complex, high-impact problems at the intersection of data science, engineering, and strategy. Shape how the organization uses data to drive decisions, design products, and create transformative user experiences. Work with massive, high-dimensional data sets, applying advanced statistical methods, machine learning, and causal inference to answer questions that influence product vision and business outcomes. Architect large-scale experiments, build predictive models, and partner with executives to design data-driven strategies. This role goes beyond dashboards—uncover hidden patterns, tell data-driven stories, and guide teams through ambiguity toward impact. Join a world-class analytics community solving intellectually demanding problems and advancing 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 large data sets and inform key decisions.
Drive Product Strategy: Partner with product, engineering, and design teams to shape feature direction 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 forecasting user behavior, product performance, and system dynamics to guide investment and innovation.
Influence Executives: Communicate insights and recommendations to leadership in business terms that inspire action.
Architect Data Platforms: Define instrumentation, data pipelines, and scalable infrastructure enabling organization-wide analytics.
Guide Teams with Data: Define success metrics, forecast 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, ML, or optimization to real-world product or business problems.
Programming Proficiency: Deep expertise with SQL, Python, R, or other statistical 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 impact at scale.
Track record of influencing executive strategy through data-driven insights.
Deep knowledge of experimentation, ML 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 tackle challenging data problems in AI and product development, work with world-class colleagues, and shape decisions affecting millions of users and billions of data points.
About Andiamo Andiamo is a globally recognized staffing and consulting firm specializing in placing top technology and go-to-market professionals with world-leading companies. For over 20 years, we have partnered with firms across various industries. Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Learn more at www.andiamogo.com
Note: This description reflects the role and general expectations and is not an offer of employment or a guarantee of employment. EEO statements may apply as per company policy.
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Staff Data Scientist – Global Tech Leader. Principal Data Scientist role focused on tackling complex, high-impact problems at the intersection of data science, engineering, and strategy. Shape how the organization uses data to drive decisions, design products, and create transformative user experiences. Work with massive, high-dimensional data sets, applying advanced statistical methods, machine learning, and causal inference to answer questions that influence product vision and business outcomes. Architect large-scale experiments, build predictive models, and partner with executives to design data-driven strategies. This role goes beyond dashboards—uncover hidden patterns, tell data-driven stories, and guide teams through ambiguity toward impact. Join a world-class analytics community solving intellectually demanding problems and advancing 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 large data sets and inform key decisions.
Drive Product Strategy: Partner with product, engineering, and design teams to shape feature direction 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 forecasting user behavior, product performance, and system dynamics to guide investment and innovation.
Influence Executives: Communicate insights and recommendations to leadership in business terms that inspire action.
Architect Data Platforms: Define instrumentation, data pipelines, and scalable infrastructure enabling organization-wide analytics.
Guide Teams with Data: Define success metrics, forecast 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, ML, or optimization to real-world product or business problems.
Programming Proficiency: Deep expertise with SQL, Python, R, or other statistical 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 impact at scale.
Track record of influencing executive strategy through data-driven insights.
Deep knowledge of experimentation, ML 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 tackle challenging data problems in AI and product development, work with world-class colleagues, and shape decisions affecting millions of users and billions of data points.
About Andiamo Andiamo is a globally recognized staffing and consulting firm specializing in placing top technology and go-to-market professionals with world-leading companies. For over 20 years, we have partnered with firms across various industries. Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Learn more at www.andiamogo.com
Note: This description reflects the role and general expectations and is not an offer of employment or a guarantee of employment. EEO statements may apply as per company policy.
#J-18808-Ljbffr