Past Data Science Hangouts

Joel Ash

Join us with Joel Ash, Sr. Data Science Manager at Kraft-Heinz, to chat about what it's like working in the CPG industry, the challenges of zero-to-one at a mature company, and how to be heard instead of just listened to.

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Data Science Hangout featuring all of us!

The Data Science Hangout community is made up of people using data (or curious about data) across all different industries, roles, and levels. This week, we'll host everyone on the call as our featured leaders and open up to a group discussion.

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Nechama Katan

Nechama Katan

Join us with Nechama Katan at Pfizer to chat about how a deep understanding of business context can make or break a data science product.

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Ralph Asher

Join us with Ralph Asher at Data Driven Supply Chain LLC to chat about the intersection of supply chain and decision science, how open-source tools are used in supply chain, and his journey from the military to supply chain analytics.

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Chris Engelhardt

Join us with Chris at Gen Re to chat about empowering individuals through AI tools, technologies, and custom applications, streamlining contemporary data science workflows by integrating Posit Workbench and Databricks, and using his background in Social and Personality Psychology to lead development teams within a global IT organization.

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Sharon Machlis

Join us with Sharon, long-time tech journalist & data professional recently retired from Computerworld / IDG Communications (renamed Foundry) to chat about how data skills can take your career in unexpected directions.

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Jason Foster

Join us with Jason Foster, an experienced risk manager at both large and small asset managers, as we explore advancing a career in finance, leveraging a quantitative background with diverse audiences, and collaborating with colleagues across departments to drive business decisions.

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Acacia Duncan and Blythe Coons

Join us with Acacia Duncan and Blythe Coons from Articulation, the company who have been coaching speakers for posit::conf for the past 5 years. They will talk about best practices for communicating your data to audiences with varying backgrounds.

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Shannon Pileggi

Join us with Shannon at The PCCTC to chat about building reporting workflows for multi-year projects, creating analysis code review processes, and fostering global communities.

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Kshitij Srivastava

Join us with Kshitij at Milliman to chat about data platform modernization at insurance companies.

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Ning Leng & Jing Huang

Join us with Ning at Roche-Genentech and Jing at Veracyte to chat about embedding modernized data science solutions in pharma to enable data driven decision making.

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Adam Husein

Join us with Adam at Firebird to chat about using data and analytics to help artists maximize their potential by empowering artists and managers to create more fans, deepen relationships, and measure impact to create material growth and engagement.

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Sam Tyner-Monroe

Join us with Sam at DLA Piper to chat about working at the intersection of AI, law, and policy to ensure ethical, accountable, and transparent use of AI systems.

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Will Hipson

Join us with Will at Halifax International Airport Authority to chat about scrappy data engineering for the 99% - managing the full data lifecycle from extraction to presentation with a team of one.

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Peter Spangler

Join us with Peter at Toast to chat about marketing measurement and impact including metric selection, incrementality, attribution and experiment design.

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Meet other posit::conf(2024) attendees!

Whether you’re just starting your data science journey, a skilled professional, or a data science leader, posit::conf(2024) has it all, with four talk tracks, community events, updates on product enhancements, all-day workshops, and keynotes from your favorite data scientists. The Posit team joined us to answer any questions you may have about posit::conf(2024), from workshops to talks to advice for first-timers.

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Matt Iorio & Rumil Legaspi

Join us with Matt and Rumil from Neuros Medical as they discuss how a novel clinical trial design in chronic post-amputation pain became the catalyst for the founding and growth of the company's clinical data department.

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Alex Freberg

Join us with Alex The Analyst to chat about teaching and advocating for data analytics.

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Tom Mock

Join us with Tom at Posit to chat about career growth, starting out in a sales role, TidyTuesday, and being so good they can’t ignore you.

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Rafi Kurlansik

Join us with Rafi at Databricks to chat about helping clients scale workloads with Spark and Databricks, his passion for programmatically analyzing data with precision, and journey to Principal Product Specialist.

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Laura Ellis

Join us with Laura at Rapid7 to chat about making artificial intelligence and analytics accessible to everyone in a secure and scalable manner.

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Warren Hearnes

Join us with Warren at OptiML AI to chat about 30+ years using optimization, ML, and AI to solve significant problems for businesses (BestBuy, Home Depot, UPS, and more).

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Liyang Diao

Join us with Liyang at ROME Therapeutics to chat about constantly learning about new biology and how to harness it in a data driven way to address unmet needs in the clinic.

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Greg Shick

Join us with Greg at Charles Schwab to chat about turning data into actions – taking large volumes and a variety of data, producing previously unknown insights that lead to a data-driven strategy.

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The one where we’re all featured leaders

Join us for a special Data Science Hangout this week where we’re all the featured leaders, asking questions to each other.

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Zack Fragoso

Join us with Zack at Domino’s as we chat about his mission to Sell More Pizza and Have More Fun by making the business smarter with data.

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Elizabeth Esarove

Join us with Elizabeth at AT&T as we discuss using data science to provide supporting evidence for decisions regarding employee outcomes and business objectives.

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Michael Derstine

Join us with Michael at Wells Fargo as we chat about an opinionated approach to modeling and analytics in mortgage banking.

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Kshira Saagar

Join us with Kshira Saagar at Wolt as we chat about getting Analytics & Data Science teams a seat at the table - by ensuring that the work done by the DS & Analytics folks impact real-world outcomes and there is credibility & trust built on all sides of an organization to treat Analytics as a True Partner.

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Adam Austin

Join us with Adam at The Hartford to chat more about data science as a tool, but relationships as the real driver of business value and success.

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Benedikt Kahmen

Join us with Benedikt at Generali as we chat about building new things with data: new insights, new algorithms, new teams.

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Brad Zielke

Join us with Brad Zielke at Target as we chat about Data Sciences in Operations, specifically supply chain at a Fortune 100 company.

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Jamie Warner

Join us with Jamie Warner at Plymouth Rock Assurance as we chat about her passion for revolutionizing the way heavily regulated industries understand and adopt data science.

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Kevin Snyder & Raju (Rama) Rayavarapu

Join us with Raju and Kevin from the FDA to chat about democratizing data science by teaching people the basics of data wrangling, data science and the power of open source and utilizing principles of systems biology, pharmacology, toxicology, bioinformatics, and statistics to collaboratively develop open-source software solutions that support decision making and policy development.

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Wes McKinney

Join us with Wes McKinney at Posit as we discuss advocating for the needs of the PyData ecosystem, his experience as a software entrepreneur and long-time developer of open source projects for data science and analytical computing, and building open source sustainability.

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Gerard Sentveld

Join us with Gerard Sentveld at Prudential as we chat about how to effectively manage data science initiatives in a highly matrixed organization.

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TD Bank: Enable data & machine learning scientists with Posit & Databricks

Mehran Moghtadai

Join us with Mehran from TD Bank as we chat about working to enable data & machine learning scientists to focus on delivering high-value use cases with as little friction as possible.

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Sean Nguyen

Join us with Sean, a molecular biologist turned data scientist, from S2G Ventures as we chat about guiding newcomers into the data science field and promoting business integration of various data science tools like Posit Connect.

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Matt McDonald

Join us with Matt from Kroll Bond Rating Agency as we discuss “punching above your weight - running a small, effective data science team”

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Laura Gast

Join us with Laura from USO as we discuss figuring out the best ways to condense complex exploratory and explanatory analyses (without sacrificing nuance and detail) for rapid and confident data-driven decision-making.

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Stephanie Lussier

Join us with Stephanie as we discuss growing a new data science team at Moderna and developing a pipeline to enable internal clinical trial decision-making at rapid speeds.

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Joseph Powers and Jen Wang

Join us with Joseph from Intuit and Jen formerly from thredUP to chat about transitioning from academia to tech roles, building inclusive & growth-oriented teams, and how organizations can improve their experimentation and causal inference processes to generate larger and faster insights that improve their product and marketing experiences.

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David Sluder

Join us with David from the Institute of Nuclear Power Operations to talk about what he’s learned from helping build out a new data science capability in a nuclear power organization.

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Julia Silge

Join us with Julia from Posit to talk about the skills and tools that data scientists need to deploy their models and scale their impact.

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Ben Arancibia

Join us with Ben from GSK to discuss Data Science Enablement in GSK Biostatistics, building tools, and teaching others how to use open-source tools.

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Biogen Data Jam Team

Dan Boisvert

Join us with the Data Jam team at Biogen to chat about running an engaging data competition, connecting people across the organization of different skill sets, and generating enterprise-wide "buzz" about data and analytics. Their recent Data Jam had 260 participants across 22 teams!

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James Laird Smith

Join us with James Laird-Smith from the Bank of England to chat about supporting 1,000 R users across 1 organization.

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Jean-Vincent Le Bé

Join us with Jean-Vincent Le Bé, R&D Expert Data Science at Nestlé, to chat about enabling the emergence of knowledge and discoveries from data by the use of analytics, predictive modeling, and visualization.

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Featuring all of us

Everyone

Join us for a special Data Science Hangout this week where we’re all the featured leaders, asking questions to each other.

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Kris Saling

Join us with Kris from US Army Human Resources Command as we discuss transforming human resources and talent management services for those who serve

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Gabriela de Queiroz

Join us with Gabriela as we discuss connecting with people, learning and sharing your knowledge with others.

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Anderson (Andey) Nunes-Brewster

Join us with Andey as we discuss managing a trauma data system and facilitating program improvements, while supporting decision makers.

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Ari Siggaard Knoph

Join us with Ari Siggaard Knoph as we discuss demystifying the use of R in pharma.

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Being forward-thinking & anticipating questions

Michael Lopez

Join us with Michael Lopez as we discuss using data and analytics to enhance the game of football.

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Giving benefit to people using what you build

Hadley Wickham

Join us with Hadley to chat about building tools (like the tidyverse) to make data science easier, faster, and more fun.

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You have to be able to reason about it

Joe Cheng

Join us with Joe to chat about all things Shiny, a web framework for data scientists.

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Building up a data science team in a small org

Everyone

Join us for a special Data Science Hangout this week where we’re all the featured leaders, asking questions to each other.

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Removing blockers for your team

Matt Frazier

Join us with Matt to chat about his passion for using data science and predictive models to democratize the insurance domain and drive innovation, scale, and advantage into organizations as they embark on developing data driven DNA into their strategy, practices, and interpretation of what is possible in their businesses.

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Copy & paste is operationally dangerous

Brian Fannin

Join us with Brian to chat about his journey as an actuary who loves open-source tools and enabling committees and research partners to work efficiently in developing relevant, practical content.

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Making sure you know other teams exist!

Katherine Gerton

Join us with Katherine to chat about the power of embedded teams for bridging the distance between cool data science and meaningful business insights and bringing those teams together to create a community of practice that supports each other and the bottom line.

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Using data to influence institutional decisions

Brad Weiner

Universities are fascinating cities within cities. With that, comes a nearly limitless set of interesting data science problems to think through. Join us with Brad as we talk about the intersection of data science and higher ed, as well as why the public sector so badly needs your help!

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6-steps for POC to production & long-term value

JD Williams

We were joined by J.D. to chat about delivering significant business outcomes through data science solutions.

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Hosting an *internal* data science hangout

Natalia Andriychuk

We were joined by Natalia Andriychuk, Statistical Data Scientist at Pfizer to discuss running an internal Data Science Hangout, building a supportive R community, discovering and learning new R packages/tools, and contributing to open-source initiatives.

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Creating business value with community

Amanda Ahrens

Join us with Amanda and Alex as we discuss designing enterprise data architecture to enable sustainability, how data science is really all about the people, and about leading a data science community of over 500 researchers at Dow.

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Data Science Hangout featuring all of us!

Everyone

The Data Science Hangout community is made up of people using data (or curious about data) across all different industries, all different roles, and all different levels. This week we hosted everyone on the call as our featured leaders and opened up to a group discussion.

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Creating your data and analytics roadmap

Josh King

We were recently joined by Josh King, Director of Marketing Data Science & Analytics at The Knot Worldwide. We discussed cross-departmental partnerships, translating business problems into data problems, and driving empirical thinking with your team and business stakeholders.

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Explicit design at the start of a project

Emily Riederer

We were recently joined by Emily Riederer, Senior Manager - Customer Management Data Science & Analytics at Capital One. We discussed how a strong foundation in high-quality data infrastructure and reproducible tools sets the stage for innovation in modeling, causal inference, and analytics, and so much more.

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Focus on relationships first

Natalie O’Shea

We were recently joined by Natalie O’Shea, Analytics Consultant at BetterUp. In this hangout, we discussed developing communities of belonging in data science, building a business case and so much more!

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Hiring for skills you don’t have

Oscar Baruffa

We were joined by Oscar as we discussed the "soft skills" side of data science and how we manage ourselves, our teams and our projects.

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Creating a framework for consistent measurement

Dan Negrey

We were joined by Dan as we discussed statistical computing, reproducibility and building powerful data tools, dashboards and reports.

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User-friendly, self-serve tools in Pharma

David Granjon PhD

We were joined by David to hear how he provides his expertise to help associates design production ready apps for clinical trials, from wireframing activities to automated deployments.

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Building up trust with stakeholders

Nick Pylypiw

We were joined by Nick as we discussed data as a tool in the social space: illuminating disparity, diagnosing issues impacting communities, informing resource allocation, and measuring impact of initiatives and programs.

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Partnership-model when forecasting

Dara Straussman

We were joined by Dara to hear how their team focuses on forecasting, machine learning, and analytics in the Finance and Operations spaces.

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Tips on communicating with executives – from an executive

Art Steinmetz

We were joined by Art to we discuss how he has shown organizations the power of open-source tools to drive innovation.

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Achieving scalability & showing value of community

Regis James

Join us with Regis James as we discuss writing code to develop, optimize, and integrate bioinformatic pipeline efforts that result in the generation of impactful and user-friendly scientific business decision support tools.

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Professional development for data teams

Namrata Shetty-Anderson

We were joined by Namrata to discuss continuous improvement, high-performance predictive models, and data-driven decision support.

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Building a story for the C-suite

Emi Zambada

We were joined by Emi as he talked about data science in insurance technology, his role at Nationwide, and managing teams through digital transformations.

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Networking to impact the business with data science

Yu Cao

We were joined by Yu Cao, VP Data Science at Exeter Finance.

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Creating a validated environment for reproducibility

Satish J Murthy

We were joined by Satish J. Murthy, building solutions and platforms to deliver quality health care to patients.

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Data governance to better serve citizens

Justin Elszasz

Improving city services and outcomes for residents through data science and digital services.

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Making data science more open and collaborative

JJ Allaire

We were joined by JJ Allaire, Founder and CEO of Posit. JJ is a software engineer and entrepreneur who builds tools that empower people with technology.

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Excel to data science to lead ML engineer

Javier Orraca-Deatcu

We were joined by Javier Orraca-Deatcu, who is passionate about developing and deploying web apps (Shiny!), packages, automation pipelines, machine learning workflows, and knowledge sharing about R.

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Open source community collaboration in Pharma

Christina Fillmore

We were joined by Christina Fillmore, Data Science Leader at GSK.

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Innovation in clinical trials with open source

Eric Nantz

We were joined by Eric Nantz, Director, Statistician & Podcaster at Eli Lilly.

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Why some companies fail at data science

Matt Dancho

We were joined by Matt Dancho, Founder at Business Science. Helping data scientists and aspiring data scientists grow their careers.

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Data science is not one thing

Alan Schussman

We were recently joined by Alan Schussman, Data Team Leader at W. L. Gore & Associates, Medical Products.

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Translating academia experience to data science

Marcos Huerta

We were joined by Marcos Huerta, Manager of Data Science at Carmax.

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Taking initiative with an idea

Jessie Pluto

We were joined by Jessie Pluto, Senior Manager of EBI Strategic Analytics at Comcast.

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Design thinking with data

Melissa Perry

We were joined by Melissa Perry, Senior Manager, eCommerce Analytics at Peloton Interactive, Inc.

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Welcoming People into Conversations to Make Change

Patrick Tennant

We were joined by Patrick Tennant, Director of Evaluation and Analytics at Meadows Mental Health Policy Institute.

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Deploying & monitoring models across a hospital

Derek Beaton

We were joined by three leaders from Unity Health Toronto: Derek Beaton, Director, Advanced Analytics, Jamie Beverly, Director of Product Development, and Sebnem Sahin Kuzulugil, Director of Data Integration and Governance at Unity Health Toronto.

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Bringing a vision to life

Matthew Montero

We were joined by Matthew Montero, Head of Enterprise Data Services at Gen Re.

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Platform governance with a shared vision

Mythili Krishnaraj

We were joined by Mythili Krishnaraj, Global Delivery Lead - Pricing and Analytics Platform at AXA XL.

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Empathy when integrating with other tools

JD Long

We were joined by J.D. Long, VP Risk Management at RenaissanceRe.

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Quantifying the hours saved

Tiger Tang

We were joined by Tiger Tang, Manager, Data Science at CARFAX.

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Prioritizing work with a centralized data science team

Jay Sewell

We were joined by Jay Sewell, Director of Analytics at Harry Rosen. Focused on plugging data into decisions and actions.

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Transitioning to data engineering

Ivonne Carrillo Domínguez

We were joined by Ivonne Carrillo Domínguez, Data Engineering Manager at Bixal.

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Decentralizing decision making

Adam Bly

We were joined by Adam Bly, Founder & CEO at System. Adam asked, why haven't we seen it all connected yet?

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Focus on the impact of the output

Lindsey Dietz

Lindsey leads a team of quants & data scientists implementing and analyzing stress testing models in the Federal Reserve System. She loves diving into the nitty gritty of data and using R code to better understand the statistical dynamics we observe in the banking sector.

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Creating transparent & visible work

Rebecca Hadi

We were joined by Rebecca Hadi, Head of Data Science at Lyn Health.

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Using Shiny to make business decisions

Alec Campanini

We were joined by Alec Campanini, Senior Manager II, Omni MerchOps Innovation: Assortment & Space Analytics at Walmart.

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People analytics for getting to the moon

David Meza

We will be joined by David Meza, AIML R&D Lead, People Analytics at NASA.

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Saving millions with a Shiny app

Tanya Cashorali

Tanya is passionate about playing with data but using it for good causes whenever possible. Energized by working with ambitious people on difficult problems. I'm a huge advocate of rapid prototyping data products using Shiny and can talk about it for hours!

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Tips for *very* remote work

Travis Gerke

Travis is an enthusiastic proponent of the use of R for data science in the clinical trials space and an advocate for productive remote work environments.

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Improving an interview experience

Alice Walsh

Alice works in drug development, where she is excited about the potential of computational research to yield breakthroughs for patients.

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Measuring success of data science

Lindsey Clark

Evolving and Leading a Data Science/AI First Organization.

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Thinking empathetically & using your initiative

Wayne Jones

Wayne has been using R since its first inception and is passionate about open source solutions.

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Exploring team structure (data scientists, data engineers)

Michael Chow

Michael previously led a team at the California Integrated Travel Project.

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Building a data science playbook

Daren Eiri

Daren is passionate about building creative solutions within the insurance industry using data, statistical modeling, and cloud technology.

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Showing the difference you’re making

Tegan Bunsu Ashby

Tegan works at the intersection of data and design, building applications and visualizations to empower front office decision making and help win basketball games.

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Encouraging people to learn to code

Joseph Korszun

Encouraging diversity of thinking while maximizing data value.

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Culture that helps avoid burnout

Jenny Listman

We were joined by Jenny Listman to talk about team culture.

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Building an R Center of Excellence

Mike K Smith

He is a professional geek, helping colleagues from the business lines understand the power of reproducibility, automation and writing good code and helping the IT department understand the needs of the business lines.

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Advocating for the role you want

Erin Pierson

Former trader trying to navigate the data world

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Collaboration across a team

Joe Gibson

The most important things going in data science leadership.

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Breaking into data science

Kristi Angel

Helping to prepare students & career pivoters for their first data science interviews.

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From academia to industry

Stephen Bailey

Being the first data scientist, and then some.

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Understanding stakeholder tendencies

Mike Miller

The do's and don'ts of surveys

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Understanding customer actions

Matthias Mueller

Leading a team of bilingual data scientists (R/Python) to proactively serve data insights to key stakeholders to provide insights in the moment they happen, when they are the most actionable.

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Building a data science portfolio

Katie Schafer

Presenting skills without sharing confidential work

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Getting better at data storytelling

Theresa Ward

How is the user really interpreting your information?

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Data science team culture

Asmae Toumi

Data engineers vs scientists vs analysts – not sure?

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Calculating ROI with the business

Prabha Thanikasalam

Think about it as a marathon, not a sprint

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Moving into leadership & managing a team

Ian Anderson

Are you worried about losing your technical coding skills?

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Getting People Excited about Open Roles

Ryan Garnett

Building data cultures and demystifying data analytics to improve informed business decisions that increases value to our customers

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Increasing Data Literacy & Moving to Leadership

Aliyah Wakil

Her journey to becoming a data science leader in the Life Sciences space

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Human in the Loop

Jarus Singh

Effective team building, measuring the success of data science projects, and where the data science industry is going.

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Focusing tools on adoption, BI Tools & Shiny

Nate Kratzer

The impact of data science on the whiskey industry. And how data science leaders can effectively market data science to the rest of the organization so value is clear.

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Finding Quick Wins & Advice for Getting your First Job in Sports

Chase Carpenter

The "Moneyball" effect within sports analytics, the challenges associated with leading analytics initiatives in the sports industries, and defining priority areas for analytical initiatives.

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Getting People Invested in Data Science

Merav Yuravlivker

How to get people excited about data science internally. And how data science teams should think about defining and measuring success.

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Training a Team of Data Scientists

Edgar Gallo

What it means to be a Chief Data Officer at a big company like Daimler trucks. He speaks passionately on how to effectively build and train a team and how to establish a value proposition within a data science team.

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Getting buy-in to adopt new tools

Paul Ditterline

The mechanics of a great data science team–the importance of small wins, ways to manage key performance indicators (KPIs), and adopting new tools within a team.

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Adjusting Metrics Across the Business

Kobi Abayomi

Using data science in the music industry, communicating metrics across the business, and becoming a leader.

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“Inner Source” to talk about open-source

Zac Garland

The importance of open source and code-based approaches to data science.

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Building your Personal Brand in Data Science

Rami Krispin

Why you should build a personal brand, how you should prioritize data science projects, and how you should communicate to senior leadership.

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Structuring data science teams to empower the business

Jacqueline Nolis

Structuring data science teams and ways to more effectively work with business stakeholders.

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Fundamentals of Data Strategy & Data Science Maturity

Joel Pepera

The importance of great fundamentals when it comes to defining and executing strategies within data science teams.

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Using the Best Tool for the Job

Bryan Butler

Becoming a data science leader–the importance of using the right tools, approaches to management that facilitate growth and innovation, and ways to stay up-to-date in a constantly evolving space.

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Setting Expectations for Your Team

Sandy Steiger

The mechanics of effectively building and managing team. She uses her expertise to clarify how leaders should approach topics like performance management, expectation setting, and mentoring.

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Data Science is More About People

Óli Páll Geirsson

The importance of people when it comes to building an effective data science team. The need for diversity, great collaboration, and an open mind within data science teams that want to make an impact.

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Unlocking Business Value with Data Science

Moody Hadi

How data science teams should prioritize generating business results.

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Understanding the Impact of Data Science

Frank Corrigan

The different ways data science teams can measure and understand their business impact, and the importance of reproducibility.

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Infrastructure that Encourages Reproducibility

Sep Dadsetan

How data science teams can demonstrate value to key stakeholders and build an infrastructure that allows initiatives to scale.

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Getting Executives to Support Data Science

Tori Oblad

How to get executive buy-in for data science initiatives, how to communicate effectively across the business, and ways to build trust with departments like IT and compliance.

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Jonathan Regenstein | Building Relationships with IT and Non-Data Scientists

Jonathan Regenstein

How data science teams should work with IT to make sure projects are sufficiently supported.

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Communicating the Value of Data Science

Elaine McVey

How data scientists should communicate with executives, and why communication is such an important part of the job.

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