Welcome to the official podcast for Data Science Salon!

The Data Science Salon series is a unique vertical focused conference which brings together specialists face-to-face to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere.

In our podcast, our Senior Content Advisor Q McCallum holds deep, engaging interviews with guests ranging from DSS speakers, authors of data science books, and professionals whose work interacts with the AI world. All of them bring their unique perspective on trends and business use cases in the world of data science, machine learning, and AI.

NEW – Episode Sixteen

Coffee Chat: DSSe Virtual 2021

Today’s episode is a recording of the Coffee Chat from our Data Science Salon Elevate series. Elevate is our unique women focused virtual conference that includes BIPOC, members of the LGBTQIA+, and other underrepresented groups.
Formulated.by’s Senior Content Advisor, Q McCallum, caught up with Vidhi Chugh (Walmart), Piyanka Jain (Aryng), and Tempest van Schaik (Microsoft). Our guests explored the impact of the Covid-19 pandemic on hiring and retention, then shifted to a discussion on finding and serving as a mentor.

    Episode Fifteen

    Analytics vs. Data Science vs. ML Research: Economist Sonali Syngal Shares Her View

    The world of data has a lot of hazy definitions. This leads to confusion as people use the same terms in a conversation but mean very different things. Three such terms that are often conflated are “analytics,” “data science,” and “machine learning research.” How do we tell the difference between them? And what are the different duties and qualifications of these roles?

      Episode Fourteen

      Charting a Course: from Physics PhD to Professional Data Scientist with Dr Resham Sarkar

      There’s no single path to a data scientist role. Practitioners come from fields as varied as software development, economics, and academia. Many people in that last group aren’t sure what it’s like to transition from an advanced degree program into industry.  That’s why I was happy to speak with Dr Resham Sarkar, a machine learning expert who heads up personalization at Slice.  Before she started building ML around pizza, she completed a PhD in physics and then worked in insuretech.  What was it like to move from a physics lab into the data scientist’s chair?  How did she find that first job? And what elements of her PhD experience have proven especially valuable in her machine learning work?  Join us in this conversation to find out.

        Episode Thirteen

        Data Monetization Strategies with Micheline Casey

        The idea of turning data into money has been a draw since the early days of the term “Big Data.”  As many companies have learned, sometimes the hard way, this isn’t always easy and it’s hardly guaranteed to work.
        That’s where today’s guest comes in.  For this episode, Formulatedby’s Senior Content Advisor Q McCallum sat down with Micheline Casey to explore the what, why, and how of a company monetizing its data.  There are a lot of matters to consider, ranging from technology to policy to business model, and she’s seen them all.

          Episode Twelve

          Software Testing, Performance Tuning, and Code Handoff for Data Scientists

          Data scientists and ML engineers write a lot of code: building data pipelines, wiring up models, and sometimes translating concepts from research papers into algorithms.
          Once in a while, that code runs into performance problems. These can be painful to debug when you don’t come from a formal software development background. That’s why Formulatedby’s Senior Content Advisor Q McCallum rang up Matt Godbolt to learn the deep details of software testing, tracing performance bugs, working with data at scale, and how data scientists can work with developers to prepare their code for a production handoff.

          Episode Eleven

          Coffee Chat at DSSVirtual for Healthcare, Finance & Technology

          We recorded this episode at our February 2021 Data Science Salon Virtual on Healthcare, Finance & Technology. Formulated.by’s Senior Content Advisor, Q McCallum, sat down with Ayda Farhadi, Senior Data Scientist at UPS, and Vasileios Stathias, Lead Data Scientist at Sylvester Comprehensive Cancer Center to discuss applying AI to healthcare.

          Episode Ten

          Trading, Risk, and Reinsurance with Otakar Hubschmann

          Our Senior Content Advisor Q McCallum sat down with Otakar Hubschmann, Head of Applied Data at TransRe, to talk about ML/AI in the world of reinsurance.  They take a deep dive into the insurance industry and the role reinsurance plays there, with a side-trip to show how this differs from the quantitative finance you see in hedge funds.  Along the way, Otakar offers his favorite tips for hiring data scientists.  (Whether you’re applying for a job, or hiring for one, take note.)

          Episode Nine

          Virtual Coffee Chat: Live from DSS Virtual

          We recorded this episode at our December 2020 Data Science Salon Virtual on Finance & Technology. Formulated.by’s Senior Content Advisor, Q McCallum, sat down with some new friends to discuss trends and challenges in the world of AI:

          Thulasi Nambiar – Senior Manager, Marketing Data Science at Prosper, Jeff Sharpe – Senior Manager / Tech Lead at CapitalOne, Sonali Syngal – Applied Scientist and Project Lead AI Garage at Mastercard

          Episode Eight

          Virtual Coffee Chat: Live from DSS Virtual

          We recorded this episode at our November 2020 Virtual Data Science Salon on Retail & Ecommerce. Formulated.by’s Content Advisor, Roger Magoulas, sat down with some of the event’s speakers to talk about data science trends and challenges in retail & ecommerce.

          Phillip Rossi, Head of Data Science at Shopify, Laya Shamgah, Data Scientist at Lowe’s Company, Jeffrey Yau, Head of Data Science at Walmart Labs, Samantha Cvetkovski, Data Science Manager at Mindbody

          Episode Seven

          Automated Content Moderation and the Intersection of AI and Law

          Today’s podcast is about the intersection of AI and the law. Formulatedby’s Senior Content Advisor, Q McCallum, spoke with Shane Glynn, an attorney who has deep knowledge of the tech and AI worlds. He’s worked for a couple of law firms that you may have heard of, and for a tech company that you have most certainly heard of.
          Shane gave us an attorney’s view on AI practices, explored the ways in which an attorney can help with an AI effort, and explained the how, when, and why AI teams should involve their legal counsel. (Hint: early. Very early.) Shane also talked about the legal and technical aspects of AI-driven, automated content moderation.
          At the end of the episode, Shane mentions some blog posts that Q wrote on AI lessons learned from the world of algorithmic trading. That series starts here.

          Episode Six

          Virtual Coffee Chat: Live from DSS Virtual

          We recorded this episode at our September 2020 Data Science Salon virtual event on Media, Advertising, & Entertainment. Formulatedby’s Senior Content Advisor, Q McCallum, sat down with some new friends to discuss trends and challenges in the world of AI:

          Anne Bauer – Director of Data Science at The New York Times, Yves Bergquist – Director of the AI & Neuroscience in Media Project, at USC, Kim Martin – Engineering Leader of Data Science and Engineering at Netflix, Dominick Rocco – Data Scientist at phData

          Episode Five

          Mission and Purpose in Data Science: Lessons from the Military and Intelligence

          How can mission and purpose drive a data professional? And what happens when we can no longer trust the data that’s presented to us?
          Richard Dunks served as a member of the US Army and the intelligence community (IC), where he honed skills that he now uses in his civilian pursuits as a data scientist, trainer, and educator. He recently caught up with Q McCallum (Senior Content Advisor at Formulatedby, the company behind Data Science Salon) to talk about what his time in the IC taught him about data analysis, having a sense of mission, and what it means to lose trust in data.

          Episode Four

          Marcello La Rocca on Algorithms and Data Structures

          The term “algorithms” has several meanings, from machine learning models to tools of Wall St traders. Then there’s the classic computer science definition: a set of instructions for solving problems. Think “simulated annealing,” “evolutionary computing,” or “LRU cache.” These are the sort of algorithms we’ll explore today.

          Episode Three

          Jean-Georges Perrin on Spark and Data Quality

          Our guest for this episode is Jean-Georges Perrin, the author of Spark in Action, 2nd edition. We talk about his career path (he’s been doing “big data” since before the term existed), what inspired him to write Spark in Action, and where Spark fits in your company’s data efforts. He also shares his thoughts on data quality.

          Episode Two

          Applications of Data Science in Media & Entertainment

          The Media and Entertainment industry has undeniably been heavily disrupted by changes in technology. Listen as Ayan Battacharya, Advanced Analytics Specialist Leader at Deloitte Consulting and Harini Krishnan, Data Scientist at Capsule8, share observations they’ve garnered from their own experience on the state of data science in Media & Entertainment, live from DSS NYC 2019.

          Episode ONE

          Prolific vs. private data in media advertising @ DSS NYC

          In June 2019, over 200 data scientists gathered at Viacom HQ in New York to hear key industry players’ takes on what makes an effective data-driven strategy. Q McCallum, Senior Content Adviser at Formulated.by, took a deeper dive into the major topics of concern for data science when he spoke with DSS NYC speakers Lauren Lombardo, Senior Data Scientist at Nielsen and Sergey Fogelson, Vice President of Data Science and Modeling at Viacom. Listen as they speak about current practices and debate the ways in which the growth of AI will impact advertising.