R

Ricky Singla

AI Researcher

Santa Clara, California, United States17 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 13 years of experience in data science at Google.
  • Expert in architecting data science functions.
  • Trusted partner for VP-level decision-making.
Stackforce AI infers this person is a Data Science expert in SaaS with a focus on predictive analytics and causal inference.

Contact

Skills

Core Skills

Data ScienceCausal InferenceExperimentation FrameworkPredictive ModelingData AnalysisForecasting

Other Skills

Segmentation ModelsSuccess MetricsReportingBusiness PerformanceRegressionData-Driven PresentationsR (Programming Language)SAS/SQLStatisticsLogistic RegressionVBASQLModelingDashboardsExcel

About

With 13 years of experience at Google, I have specialized in architecting and scaling new data science functions from the ground up. I am motivated by opportunities to focus on areas with large, unsolved challenges. Consistently owned the most complex data problems, serving as a trusted partner whose insights directly informed VP-level decisions, resulting in significant, measurable growth across multiple Google products.

Experience

17 yrs 6 mos
Total Experience
8 yrs 9 mos
Average Tenure
13 yrs 8 mos
Current Experience

Google

3 roles

Senior Staff Data Science Manager, Google Shopping

Promoted

Jan 2022Present · 4 yrs 5 mos · On-site

  • Led and grew a Data Science team, significantly lowering new hire ramp-up time, and consistently prioritized challenging, high-impact projects that directly led to multiple senior promotions within the team.
  • Partnered with Data Eng to architect and operationalize the metrics and experimentation framework for Google Merchant Center.
  • Collaborated with Eng and PM teams to architect novel holdback and ablation studies on Shopping features within Google Search, accurately assessing the short-term and long-term on user trust, query relevance, and retention within the Shopping ecosystem.
  • Improved the org’s ability to attribute impact by established rigorous standards for causal inference, using quasi-experimental and observational methods (e.g., diff-in-diff, CausalImpact) to measure long-term impact in scenarios where randomized A/B testing was infeasible.
  • Ensured best practices are followed and any double counting is avoided to fill in missing conversion data that was being generated via multi-touch-attribution so we don't expose any critical bugs in those approaches to our merchants.
  • Designed the data science workflows on a large portfolio of feature launches with shopping ads and organic teams, contributing to all phases from opportunity sizing to experiment design to launch analysis.
Data ScienceCausal InferenceExperimentation FrameworkData Analysis

Staff Data Science Manager, Google Play

Promoted

May 2014Dec 2021 · 7 yrs 7 mos · On-site

  • As the key data science interface, I regularly met with senior leaders from top app and game developers (like Supercell, Spotify and Match.com). My role was to earn their trust by clearly and accurately translating complex analytical work into clear business value.
  • Led my team to define and implement success metrics for Play Store ranking and discovery features.
  • Led the creation of an app quality model, generating a predictive score for every app and game on the Play Store using human-eval based ground truth data, which was integrated into ranking algorithms.
  • Modeled the two-sided marketplace ecosystem, creating segmentation models that balanced developer supply with consumer demand.
Data SciencePredictive ModelingSegmentation ModelsSuccess Metrics

Data Scientist, Google Ads

Aug 2012Apr 2014 · 1 yr 8 mos · On-site

  • Provided critical business performance visibility for the AdSense and AdMob product teams, creating automated bi-weekly reports that were distributed across both orgs.
  • Identified a significant, previously unrealized opportunity by using an overlooked data source within the ads database, requiring deep product product knowledge.
Data AnalysisReportingBusiness Performance

Marketrx india private ltd

Analyst

Sep 2008Jul 2012 · 3 yrs 10 mos · Gurugram, Haryana, India · On-site

  • Forecasted future year sales for blockbuster drugs for major US pharmaceutical clients using regression, enabling clients to optimize sales representative hiring.
  • Developed data-driven presentations for senior management at client companies, building strong business communication and consulting skills early in my career.
ForecastingRegressionData-Driven Presentations

Education

Indian Institute of Technology, Delhi

Dual Degree — Electrical Engineering

Jan 2003Jan 2008

St Joseph's Bathinda

Jan 1990Jan 2001

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