Francisco Rius

Microsoft

Head of Data Science and Data Engineering teams for Mojang studios.  Minecraft is the world's best selling video game with more than 200 million copies sold, operating on dozens of platform end points, and requiring intelligent solutions to deliver data driven insights.  

My team is responsible for the delivery of insights across multiple data science & analytics tracks, including business analytics, game/product analytics, quality analysis, and other data science tracks & disciplines.  Our approach to data insights is centered on internal stakeholder relationships and the creation of specialized teams with strong subject matter expertise in different areas.  

Hands on data science experience in cloud technologies, including Azure Cloud storage, compute, orchestration.  Proficient in data mining, data science, algorithms, and machine learning.   Data science toolkit includes Python, Databricks/Spark, Hive/Hadoop, and others.

Head of Data Science and Data Engineering - Minecraft

Electronic Arts (EA)

Director, EA SPORTS Analytics

Managing all aspects of player and business analytics for all of EA SPORTS titles produced in Vancouver
- Managing a group of high performing business analysts and data scientists
- Defining analytics priorities for three AAA blockbuster games (FIFA, UFC, NHL)
- Coordinating multiple disciplines including Consumer Insights, User Experience Research, and Data Science
- Key areas of responsibility include: digital revenue forecasting, performance goal setting, long term product strategy, feature quantification and optimization, digital telemetry definition and prioritization across titles, driving tool and technology adoption, defining collaboration roadmaps across functions, managing stakeholder relationships, and others

- Technical specialties include:  Python, Google Cloud/Compute Engine, Hadoop, AWS, SSRS, SQL, others

- Modeling and data science specialties include:  Predictive modeling, segmentation, machine learning, optimization, scenario simulation, forecasting, visualization

- Recent data science models include:  churn modeling, simulation of sporting events, revenue forecasting with high degrees of accuracy, retention models, identification of causal drivers of video game engagement  using propensity scores, NLP, and automation

Sr. Manager, EA SPORTS Analytics (FIFA, NHL, UFC)

Senior Manager, Player Analytics and Forecasting (FIFA)

Manager - Business Analytics

Global revenue forecasting for FIFA Ultimate Team and NHL Ultimate Team

Manage digital revenue and underlying KPI performance analysis for 30+ countries, ensuring a timely and accurate information flow with regional finance and marketing teams

Analysis on existing and potential digital marketing initiatives to optimize resource allocation

Provide recommendations to finance, marketing, and game development teams on potential products and initiatives

Regular performance updates and presentations to C level executives and key stakeholders

Advanced analytics:  Predictive modeling, propensity scoring, multivariate segmentation

Data mining (Teradata SQL), statistical analysis (STATA), reporting automation (Tableau, Excel)

Senior Analyst - Business Analytics

DISH Network

Define Lifetime Value segmentation strategy that determines retention expenditure (upgrades, treatments, and promotions) for 14MM subscribers

Manage reporting and analytics team maintaining ongoing communication with C level executives and key stakeholders

Responsible for forecasting of key churn metrics that drive customer retention strategy

Develop full financial analysis (NPV, ROI) on existing and potential products, promotions, and marketing campaigns

Data mining via SQL (Teradata and Netezza) and SAS Enterprise Guide to optimize decision making 

Produce recommendations for communications, treatments, and promotions to retain subscribers and improve profitability

Analytics Manager - Retention Analytics

Managed direct marketing campaigns to pre-empt competitive efforts

Defined treatments and offers for existing customers, based on lifetime value of subscriber

Incorporated predictive modeling to determine at risk subscribers and maximize campaign efficiency

Managed competitive intelligence efforts focusing on customer retention

Marketing Lead - Customer Retention

EchoStar Communications

Launched DishMEXICO programming package to regain lead in Hispanic Pay-TV market share

Managed existing customer communications, new customer acquisition campaigns, and referral campaigns

Led customer referral program that resulted in highest activation rates and lowest cost per activation accross all acquisition channels

Marketing Manager

Passageways

B2B marketing for intranet software for financial institutions.

Business Development Manager

Head of Data Science and Data Engineering teams for Mojang studios.  Minecraft is the world's best selling video game with more than 200 million copies sold, operating on dozens of platform end points, and requiring intelligent solutions to deliver data driven insights.  

My team is responsible for the delivery of insights across multiple data science & analytics tracks, including business analytics, game/product analytics, quality analysis, and other data science tracks & disciplines.  Our approach to data insights is centered on internal stakeholder relationships and the creation of specialized teams with strong subject matter expertise in different areas.  

Hands on data science experience in cloud technologies, including Azure Cloud storage, compute, orchestration.  Proficient in data mining, data science, algorithms, and machine learning.   Data science toolkit includes Python, Databricks/Spark, Hive/Hadoop, and others.   

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