Erika Nitsch Email & Phone Number
@farfetch.com
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Who is Erika Nitsch? Overview
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Erika Nitsch is listed as Head of Data Science and Product Analytics at Moonpig, based in Greater Cambridge Area, United Kingdom. AeroLeads shows a work email signal at farfetch.com and a matched LinkedIn profile for Erika Nitsch.
Erika Nitsch previously worked as Co-Founder at Flex Data, Inc and Head of Data Science at Farfetch. Erika Nitsch holds Master Of Science (Msc), Archaeological Science from University Of Oxford.
Email format at Moonpig
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AeroLeads found 1 current-domain work email signal for Erika Nitsch. Compare company email patterns before reaching out.
About Erika Nitsch
Experienced Data Science innovator and leader, with a unique ability to translate the complexity of cutting-edge AI to the clarity needed to deliver business needs. Demonstrated history of leading a full-stack Data Team, across big data engineering, data science and analytics. Entrepreneurial mindset used to transform state-of-the-art machine learning techniques into viable data products. In-depth knowledge of ecommerce and customer analytics. A proven track record of delivering business value through product analytics.
Listed skills include Data Analysis, Research, Statistics, Qualitative Research, and 19 others.
Erika Nitsch's current company
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Erika Nitsch work experience
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Head Of Data Science And Product Analytics
Current
Co-Founder
CurrentFlex creates real-world skill profiles from how you play video games. Soft skill profiles are really valuable, for hiring and other things, but they're very hard to create. The best tests and surveys take too much time / effort, and other measures produce low-standard results. Video game data can give us a better measure.
Head Of Data Science
Senior Data Science Manager
Data Science Manager
Startup Mentor
Dream Assembly is a Fashion and Retail Tech Accelerator for high-potential startups that offers personalized support and unique access to Farfetch
Head Of Data
Manage a team of 5 data scientist, data engineers and data analysts using Agile Scrum methodology.Maintain data pipelines of event stream analytics across two products, with ETLs using a combination of Snowflake, AWS, Spark, Python and Clojure.Develop consumer-facing data products incorporating ML and AI (size recommendation, product recommendation, automated metadata tagging)Develop and deploy Computer Vision (Deep Learning) models for image processing automation. Champion an evidence-based product development strategy across the business.Evangelise analytics and data literacy for everyone. Enable data-based decision by making the right information available in the right format. Generate new research avenues and product strategy in Computer Vision and Deep learning. Conduct and analyse experiments in product performance (A/B testing, Anova)
Data Science Lead
Created a new data aggregation pipeline for operational data in PythonImplemented a new analytics strategy for operational data, facilitating 90% cost reduction. Developed data product strategy for the business, based on size recommendation, product recommendation, and computer-vision attribute tagging. Conducted B2B strategic research with potential clients internationally.
Data Scientist
Developed a model to predict customer conversion in ecommerce within 5 clicks with an AUC of 0.74 using Python's scikit-learn. Exploratory data analysis of customer body shape data in Python.Used clustering algorithms to predict customer preference for clothing types depending on body shape. Used BI tool (Looker) to develop internal and client facing KPIs and dashboards.Worked in Agile Scrum methodology using JIRA and version control.
Data Scientist
Used Ridge/Lass regression in R to predict car accident risk using hundreds of engineered featuresDeveloped robust, modular data analysis pipelines in R.Create unique, interative data visualizations using R Shiny.
Postdoctoral Researcher
* Manage databases and provide statistical analysis of data in Excel and R* Develop laboratory protocols for analysis of carbon, nitrogen, sulfur and strontium isotopes in carbonized plant material* Provide training in statistical methods (hypothesis testing, regression models)* Develop tools for data visualization
Erika Nitsch education
Master Of Science (Msc), Archaeological Science
Doctor Of Philosophy (Ph.D.), Archaeological Science
Frequently asked questions about Erika Nitsch
Quick answers generated from the profile data available on this page.
What company does Erika Nitsch work for?
Erika Nitsch works for Moonpig.
What is Erika Nitsch's role at Moonpig?
Erika Nitsch is listed as Head of Data Science and Product Analytics at Moonpig.
What is Erika Nitsch's email address?
AeroLeads has found 1 work email signal at @farfetch.com for Erika Nitsch at Moonpig.
Where is Erika Nitsch based?
Erika Nitsch is based in Greater Cambridge Area, United Kingdom while working with Moonpig.
What companies has Erika Nitsch worked for?
Erika Nitsch has worked for Moonpig, Flex Data, Inc, Farfetch, Dream Assembly, and Metail.
How can I contact Erika Nitsch?
You can use AeroLeads to view verified contact signals for Erika Nitsch at Moonpig, including work email, phone, and LinkedIn data when available.
What schools did Erika Nitsch attend?
Erika Nitsch holds Master Of Science (Msc), Archaeological Science from University Of Oxford.
What skills is Erika Nitsch known for?
Erika Nitsch is listed with skills including Data Analysis, Research, Statistics, Qualitative Research, R, Statistical Data Analysis, Quantitative Research, and Public Speaking.
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