Dirk Petzoldt Email & Phone Number

Barcelona, Ct, Es

explai.com is a AI-first, fast-moving startup on a mission to simplify data analytics for non-experts by building agents that automate data tools and train data skills. Freshly baked by a successful round of funding, we’re building a dynamic team that shares our passion for making data analytics accessible to everyone, regardless of their technical background.

As founder in stealth mode at https://data-stories.ai developed a disruptive agentic analytics SaaS that received funding at a seven digit evaluation in Sep 2024 to become http://explai.com.

Barcelona, Catalonia, Es

My Chief Data Officer role at Glovo (see below) is enlarged to include Developer Platform Teams and Tech Support providing cloud infrastructure and web and mobile platforms for 600 software engineers.Data achievements include:- Led transition to data mesh with full autonomy for decentral data users who created 300+ data products and 3000+ reports- Reduced time to delivery for new data products from weeks to hours via declarative data platforms- Scaled team sizes according to business targets- Rolled out an in-house experimentation platform, cutting experiment efforts by 10x- New distributed query engine retrieves 80% faster at lower cost- First company-wide data science initiative ("marketplace optimization")- Generative AI hackathonI report to the Founder and CEO, Oscar Pierre. A complete list of teams is attached.

Barcelona, Catalonia, Es

As Glovo's Chief Data Officer, reporting to the CTO, my team of >250 data professionals and software engineers builds open source based data mesh platform for 3500 data consumers.My cross functional teams embed in all lines of business, such as logistics, marketing, customer app, finance, courier support and partner management. Our models and data pipelines automate courier assignments and routing, personalization Glovo's customer app, steer marketing budget allocation, inform customer support, bring causal inference to CRM, integrate finance data with Delivery Hero and steer company wide profit levers via reinforcement learning based marketplace optimisation.Our platform services are based on AWS, Airflow, Presto, Spark, Python, Redshift, Looker, Amplitude, Parquet, dpt, Starburst, Kafka, Argo, MLFlow, Redis and include Data Platform; Machine Learning Platform, Feature Store, Experimentation Platform; MLOPs; Data Governance; Centers of Excellence for Data Science, Data & Product Analytics, Data engineering; Technical Product Management.

Berlin, Berlin, De

As Chief Data Officer at Glovo I am one of the most experienced members of Delivery Hero's Global Data Leadership Council. Key projects including piloting new technologies such as Generative AI.

Berlin, Berlin, De

My teams of 120 Applied Scientists and Software Engineers help Zalando tripple its business to 30b€ via- Performance Marketing (see previous role)- Demand forecasting for 700K+ articles (deep learning based)- Algorithmic inventory risk pricing (mixed integer optimisation) - Personalized incentives for 38m+ active customers- Competitive pricing and price validation- Price measurement and holistic steering (A/B testing and causal inference)I am an active contributor to Zalando's tech culture at its Senior Technical Leadership team and a co-sponsor of it's Applied Science job family.

Berlin, Berlin, De

My 5 teams of 45 engineers and data scientists build and run Zalando's performance marketing automated, personalized and ROI optimized. We measure performance via A/B tests at scale and forecast campaign profit and customer value. On channel level we automate campaign management and develop ML driven steering algorithms.Technically we continuously deploy our micro services, data pipelines and ML models on AWS (S3, IAM, ELB, CloudFormation) using Databricks / Spark, Postgres, Kafka, Airflow, JS React, K8s, Scala, Python, and Go among others.As Zalando's second most senior Applied Science leader I act as the job family's deputy sponsor and led a company wide CTO project redefining hiring, development and evaluation of Data Science, Machine Learning, Economics and Operations Research.

Berlin, Berlin, De

I head Market Research, Customer Analytics, and Markets Engineering. We conduct customer facing market research, develop predictive models (incl. customer value) and build data pipelines and reports to inform local strategies and steering in 17 countries.At Zalando we bring head-to-toe fashion to more than 34 million active customers, offering clothing, footwear, accessories, and beauty. We make around 2,500 brands available, from world-famous names to local labels, and our own private brands. Numbering over 14,000 Zalandos, we offer different fashion and lifestyle propositions through a variety of websites and mobile applications across 17 markets, localized into 12 languages, supported by 20+ payment options, and with delivery from 11 logistics centers supported by 70+ delivery and returns services.

Hamburg, Hamburg, De

Hired as a Principal Data Scientist asked to bootstrap a new team which eventually grew to 15 data scientists and engineers with high team satisfaction and outstanding leadership feedback.Delivered from idea to production:* Automatized SEA bidding for >1M keywords based on user level profit predictions* Inhoused display bidding incl. near-time user level predictions (CTR, profits, affinities) and dynamic cross-campaign budget steering* Replaced attribution model statistical core. Added cross cookie and display views* Migrated existing algorithms from Teradata & SAS to Spark & Python incl. data preparation, model training & production, monitoring, steering logics, and process integration* Upgraded rule based user affinities to Machine Learning as input to customer data platform* Modeled marketing mix for cross-channel budget allocation (incl. online, print, promotions)* Contributed to SEO, onsite search and product analytics in shop’s cross functional dev teams

Cary, Nc, Us

Predictive modeling for demand forecasting, price optimization, predictive asset maintenance, and customer analytics (e.g. prediction of churn, product and channel affinities, conversion probabilities and customer lifetime value) across industries. As leader of text mining practice designed and implemented semantic credit rating in close collaboration with McKinsey. Mastered methods from Machine Learning, Time Series Forecasting, Text Mining, Statistics and Optimization.Delivered consulting projects in Banking & Finance, Insurance, Retail, Manufacturing, Health Care, Media, Telecommunications, and Professional Service.

Walldorf, Bw, De

Led internal change projects (budget: 4M€) under direct steering from Co-CEO Jim Snabe. Nominated to lead annual development kick-off meeting (DKOM) for more than 10,000 software developers and solution managers. Led project to measure and improve product quality in SAP development. Nominated as Top Talent.

Walldorf, Bw, De

Field Enablement of SAP Advanced Planning & Optimization for consultants and partners. After one year appointed SAP's youngest global product manager. Steered product "cProjects" out of escalation (success story linked). Specified and rolled out new releases that increasing active customer base by 45%.

Onsite social work as a software developer in Jalna (Mission Hospital Maharashtra) and Chennai (Gislen Software).

Stuttgart, Baden-Württemberg, De

Developed Java based system for classification of nonlinear optimization problems in industrial engineering.

Berlin, Berlin, De

Taught 30 students in "Computer Oriented Mathematics" to solve combinatorial optimization problems in Java. Includes tutorials, exams, and mentoring programming.

Designed and implemented a combinatorial optimization software for task and machine scheduling. Delivered proof of concept within existing customer relationship management (CRM) solution. Trusted to finish work as a freelancer during international studies in London.

Dipl. Math Oec., Discrete Mathematics, Financial Markets, Distributed Systems

Exchange Student, Economics, Financial Markets

Exchange Student, Computer Science