How much does it cost your team in hours and dollars when one of your data jobs fails and you're running a report with inaccurate data? How do you REALLY know if all your daily data has been loaded properly? How long would it take to audit and fix? 

Simply put, what happens when your data breaks?

This week on All Things Data we speak with Barr Moses the Founder and CEO of Monte Carlo.  They've just closed a $16m round to solve data reliability through the concept of data down time.  

Barr walks us through her time at the Israel Defense Force and her journey to the Bay area through Standford, Bain,working her way up through Gainsight and starting a company.

This week we'll cover:

- What the inspiration was to start Monte Carlo

- How the IDF help shaped her thinking

- Why is data reliability important?

- What is data downtime and why now?

- Leveraging customer success as a super power

- Hubspot's data jingle!

Clearbanc is making waves in the VC world with their novel funding model and use of machine learning. We thought it was interesting to speak to Susan Shu Chang  to see how data science is applied in the startup funding world.

We'll also be chatting about her journey from an Economics/Math major to RL (reinforcement learning) through her passion for gaming and how time management and prioritization has led her to get on the speaking circuit, writing a book, teaching, continue gaming and learning all while working full time!

If you're interested in how digitally native companies use marketing analytics at scale, this episode is for you.

Peter Cheung, the  Director of Performance Marketing and Analytics at Mejuri stops by this week to talk about how Mejuri's marketing team uses data to continually grow their community of fiercely loyal customers during COVID-19 and beyond.

Peter gives us a peek under the hood on what he's looking for in a data marketer,  why insourcing is right for them and how he thinks a data marketing team should be built.

Sr Data Scientist at Tucows, Kenny Kwan joins us this week to chat about why it's best to be a generalist when you're starting your data career. 

This week we'll cover why it's important to be able to get data yourself, what does it mean to have "communication skills" (hint, it involves cannolis ) and how to advocate for yourself and your projects.  

Kenny takes us through his story from leaving the Dominican Republic to pursue his PhD in the US and ending up as a data scientist in Toronto. Also, he's finally able become a Raptors fan this year because Kawhi isn't around.

Sr Data Scientist at Shopify, Fernando Nogueira joins us this week to chat about what it's like to work a large data driven organization and his path to getting there.

We go through what it's like to be the first at Freshbooks in their growth stage, ChatKit as the first data resource on a 5 person team and then transitioning to large data science group. Fernando gives us a peek under the hood at how Shopify uses data and is built to last. We also cover marketing analytics, why it's important to work on your development skills and how he almost becoming quant twice!

As an All Things Data Special Episode  we combined forces with Dave Mathias from the Data Able Podcast to chat about Data Education.

Sr Machine Learning Engineering at Snap Travel, Joey Sham joins the All Things Data podcast to tell us what he's up to in his day to day as a machine learning engineer, how he made the transition from Physics to developer to data science, how Snap Travel uses NLP & BERT to help people find hotels and flights and how to hustle to get your first data science job.

Lead Data Scientist at Sunlife Financial, Jennifer Nguyen joins that all things data podcast to talk about how she uses data science in the insurance industry, how a web development project got her career started, what she's learning to become a better practitioner and advice for anyone looking to get in the field.

Apparently there are tens of thousands of Data/ML/AI jobs out there, but why isn't everyone you know getting hired and working in the field?

This week Jansen and Victor discuss:

- How technology markets evolve

What are the things you need to consider from a data perspective when you build a product?

This week Victor and Jansen discuss some common pitfalls and risks they've seen over the years when building out products.

They'll cover: