Jacqueline Nolis And Emily Robinson

Shows

Build a Career in Data ScienceOops! We're Both Unemployed!!This very surprise bonus episode was made after Emily and Jacqueline found themselves simultaneously unemployed. Here Emily will chat about being part of a 15% company-wide labor reduction while Jacqueline walks through the steps she's been doing as she interviews with new companies. Join them for some vulnerable conversation that are relevant to this current wave of layoffs.2022-10-021h 00

Vanishing GradientsEpisode 6: Bullshit Jobs in Data Science (and what to do about them)Hugo speaks with Jacqueline Nolis, Chief Product Officer at Saturn Cloud (formerly Head of Data Science), about all types of failure modes in data science, ML, and AI, and they delve into bullshit jobs in data science (yes, that’s a technical term, as you’ll find out) –they discuss the elements that are bullshit, the elements that aren’t, and how to increase the ratio of the latter to the former. They also talk about her journey in moving from mainly working in prescriptive analytics building reports in PDFs and power points to deploying machine learning products...2022-04-041h 27

Build a Career in Data ScienceInterlude: Data Science SubfieldsIn this special live episode recorded at PyLadies London, Emily and Jacqueline discuss those little subfields of data science like experimentation and fraud. They ponder the benefits of becoming more specialized in your career and how different fields have different cultures. The episode ends with a Q&A using live audience questions!2021-10-0754 min

Build a Career in Data ScienceEpilogue: So What Have We Learned?In the final episode of Season 1, Emily and Jacqueline take a moment to reflect on all they've learned in writing a book and making a podcast about data science careers.2021-06-0338 min

Build a Career in Data ScienceInterlude: Managing Your ManagerIn this special live episode recorded at the Data Science DC, Emily and Jacqueline talk about data scientists' relationships with their managers. They discuss how you should communicate with your manager, how much you should be doing what your manager asks vs what you think is best for the company, and other topics. Several times in the episode Jacqueline and Emily disagree, adding drama and intrigue.2021-05-2052 min

Build a Career in Data ScienceChapter 16: Moving up the ladderAfter you are a senior data scientist for a few years, what is next? In this episode Jacqueline and Emily talk about three possible career moves for seasoned data scientists: becoming a manager, a technical lead, or an independent consultant. They discuss the pros and cons of the different types of jobs and strategies for getting into those roles.2021-05-061h 03

Build a Career in Data ScienceChapter 15: Leaving Your Job Gracefully"You can't fire me I quit!" --a great example of not leaving a job gracefully (but hey it happens!). In this week's episode Emily and Jacqueline discuss how to decide when the right moment is for you to leave a job, and what steps you should take. They also talk about the realities of the situation, like managers who don't seem to listen when you discuss why you are unhappy, walking out of job, and getting a last minute counter offer.2021-04-2256 min

Build a Career in Data ScienceInterlude: Help! My Job Search Isn't WorkingIn this special live episode recorded at the ODSC East conference, Emily and Jacqueline discuss what to think about it you can't seem to find that data science job you want. They talk about the different reasons why job hunts don't work, what you can do about it, and answer listener questions from the audience.2021-04-0837 min

Build a Career in Data ScienceChapter 14: Joining the CommunitySocial media, conferences, blogs, and meetups--there are many places where data scientists congregate outside of work. But how does a data scientist become a part of these communities and contribute? In this episode Jacqueline and Emily discuss speaking at conferences, awkwardly attending your first meetup, and many other moments that can happen when a data scientist starts to join the community.2021-03-251h 01

Build a Career in Data ScienceChapter 13: Data Science FailuresYou're not a failure! The field of data science is overflowing with projects that just didn't work out. This episode we talk about these projects and why they fail. We also discuss how to handle them emotionally even though it might feel like you're solely responsible. In the game, Emily makes Jacqueline try and discern true stories of data science mistakes from her twisted deceptions.2021-03-111h 06

HumAIn PodcastHow To Build A Career in Data Science with Jacqueline Nolis and Emily Robinson[Audio] Podcast: Play in new window | DownloadSubscribe: Google Podcasts | Spotify | Stitcher | TuneIn | RSSJacqueline Nolis is a Data Science consultant, who helps companies like T-Mobile, Expedia, with their data science problems.She’s got an undergrad in math. Masters in math. She got a doctorate in industrial engineering and then started working as a consultant. For the last ten years she’s been doing data science consulting for all sorts of companies and leading data science teams.Emily Robinson studied very related fields of statistics. And that's where she started progr...2021-03-0456 min

Build a Career in Data ScienceChapter 12: StakeholdersStakeholders! The people who data scientists help by creating analyses and models. Stakeholders have so many needs, and keeping them satisfied is one of the most important parts of being a successful data scientist. In this episode Jacqueline and Emily discuss how to make your stakeholders happy with good communication and empathy.2021-02-2555 min

Build a Career in Data ScienceChapter 11: Data Science in ProductionPutting data science into production can mean a ton of things: from customer-facing models run millions of times a day to continuously live dashboards for stakeholders. But writing code for production and getting it to work can be intimidating for many data scientists, and lots of us have never tried. In this episode we talk about production, why it can be scary, and what you can do to get started! We also have a game that just might rip off a much more popular TV show.2021-02-1149 min

Build a Career in Data ScienceChapter 10: Making an AnalysisAn analysis is the work of taking data and turning it into a PowerPoint presentation (more or less), and in this episode we talk all about it. What makes an analysis sharp, how to sell data stories to stakeholders, and the useful tool of an "analysis plan" are all discussed. The episode ends with Emily giving Jacqueline an analysis game that tangentially relates to puppies.2021-01-281h 05

Software Developers Journey#135 Emily Robinson making sense of data science for usEmily took us from her custom studies to her Ph.D. studies, her DataScience Bootcamp, and her first job at Etsy. We classified DataScience and (finally) made sense of those weird titles. We talked about how working in the open, creating her community and writing opened doors for her. Finally, we spoke about the book she just wrote with Jacqueline Nolis.Here are the links from the show:Emily's Twitter https://www.twitter.com/robinson_esHer book "Build a Career in Data Science" http://datascicareer.comThe podcast accompanying the book https://podcast.bestbook.cool40...2021-01-2653 min

Build a Career in Data ScienceChapter 9: Starting a New JobWelcome to your new data science role! You just started a new data science job, maybe your first one, and wow there is a lot to do! In this episode, we cover what to expect in the first few months of the job and what to do if it’s not what you hoped. We also discuss how to handle the inevitable heartbreak as you find technical skeletons in the closet like production databases that are just csv files on a SharePoint.2021-01-1448 min

Build a Career in Data ScienceSeason 1 Intermission!Technically still just in time for the last of the holidays - a special bonus episode! Here we cover three small mini-topics. First, whether you should get a PhD to become a data scientist (spoiler alert: almost certainly not), delving deep into the culture of academia and our own PhD experiences. Then we share how we decide if we should learn a new topic/technology. Finally, we talk about how to design good data science interviews as a hiring manager. Do we advocate for white boarding, take-homes, and unstructured interviews? Listen to hear our hot takes!2020-12-3153 min

Build a Career in Data ScienceChapter 8: Negotiating the OfferStop! Don’t just accept that coveted data science job offer right off the bat. Instead, listen to this episode where we discuss negotiating: what’s on the table, what salaries to expect at different levels of data scientist, what the heck RSUs and stock options are, and much more. By reflecting on what’s important to you and how to ask for it, you’ll start your new job in the best way. Includes stories from Jacqueline and Emily's pasts!2020-12-1755 min

Build a Career in Data ScienceChapter 7: the Job InterviewThe interview: possibly the most nerve-wracking part of a data science job search. In this episode, we’ll help you prepare by covering the full interview process, including the different types of interviews, what questions you might be asked, and what the interviewers are looking for. And since interviewing is a two-way street, we also do a mock interview where Emily as the interviewee tries to see if there are red flags in a few jobs.2020-12-031h 03

Build a Career in Data ScienceChapter 6: Résumés and Cover Letters“You only get one chance at a first impression.” When applying for data science jobs, that’s usually your resume (and sometimes a cover letter). So how can you give your data science resume the polish it deserves? In this episode, we discuss what hiring managers and recruiters are looking for in a resume, how and why to customize it for different jobs, and weigh in on the always hotly contested: “how many pages should it be?”2020-11-1958 min

Chai Time Data ScienceJacqueline Nolis & Emily Robinson: Building a Career in Data Science #115Video Version: https://youtu.be/-OSWCeo18vsSubscribe here to the newsletter: https://tinyletter.com/sanyambhutaniIn this episode, Sanyam Bhutani interviews two amazing Data Scientists who've quite literally authored a book on Building a Career in Data Science: Jacqueline Nolis and Emily Robinson.Both of the amazing heroes on this episode have worked across different industries, and have written amazing blog posts. They've also written a book quite literally on the topic of building a career in data science. It covers topics that aren't usually discussed almost anywhere, have the soft skills...2020-11-051h 16

Build a Career in Data ScienceChapter 5: the Job SearchBefore you can get a data science job, you need to find one! In this episode, we discuss how to decode job descriptions, use your network, and find jobs that don’t need 3+ years of experience. We share how we’ve found our previous jobs and we do some on-the-spot judging of job posts that Emily found on LinkedIn.2020-11-051h 01

Build a Career in Data ScienceChapter 4: Building a PortfolioPerhaps the most common piece of advice for aspiring data scientists is to make a project portfolio. Despite this, so few data scientists do so! In this episode, we discuss what exactly a portfolio is, the benefits, and the common reasons people don’t do it and how to overcome them. Spoiler: it's just as much psychological as it is about time and skills.2020-10-2255 min

Build a Career in Data ScienceChapter 3: Getting the SkillsIt seems there are so many “required” skills for a data science job—how can someone possibly learn them? In this episode, we discuss four possible ways to do so: a formal degree program, a boot camp, learning on the job, and teaching yourself. We also share our own very different backgrounds: Jacqueline's math master's and engineering PhD versus Emily's statistics minor, master's in organizational behavior, and a boot camp.2020-10-0858 min

The Artists of Data ScienceBuild A Career in Data Science | Jacqueline Nolis and Emily RobinsonJacqueline Nolis is currently a principal data scientist at Brightloom where she creates models to help restaurants and retailers improve the customer experience.Emily Robinson is currently a senior data scientist at Warby Parker, where she works on a centralized team tackling some of the company’s biggest projects. WHAT YOU'LL LEARN[00:10:42] The three types of data scientists [00:13:09] How to make an effective analysis[00:16:08] How to convert a business problem into a data science problem[00:19:39] What the heck is deploying a model into production mean anyways?[00:29:57] Who are the various types of stakeholders...2020-10-051h 15

Build a Career in Data ScienceChapter 2: Data Science CompaniesWhile the popular image of a data scientist is one solving cutting-edge problems at a large tech company, data scientists work in every type of organization. In this episode, we talk through five company archetypes, from small start-ups to government contractors to traditional retail companies. We weigh the pros and cons of working at each and debate the career changing question of: "should you be a company's first data scientist?"2020-09-2458 min

Build a Career in Data ScienceChapter 1: What is Data Science?What actually *is* data science, and what does a data scientist do? What kind of backgrounds do data scientists come from and what skills do you need to be one? In this episode we start with the basics—declaring once and for all what is data science anyway and exploring how the hype of the field matches reality. We explore the three main areas of data science - analytics, decision science, and machine learning - and help you figure out which is best for YOU.2020-09-1055 min

DevelomentorEmily Robinson & Jacqueline Nolis – How To Jump Into Data Science from Any Background? #76Welcome to another episode of Develomentor. Today's guest are Emily Robinson and Jacqueline Nolis, authors of the book 'Build Your Career in Data Science'. Emily Robinson works at Warby Parker as a senior data scientist on a centralized team tackling some of the company’s biggest projects. Previously, she was at DataCamp, where she built and ran their experimentation analytics system, and at Etsy, where she worked with their search team to design, implement, and analyze experiments. I regularly give talks on A/B testing, R programming, and data science career advice at conferences and meetups (see al...2020-07-2357 min

Greater Than Code178: Data Science and Sponsorship with Emily RobinsonManning Publications has been kind enough to give our listeners a discount code. They're giving listeners of the show a permanent 40% discount, which is good for all products in all formats for everyone. Again, this is a PERMANENT discount code for all Greater Than Code listeners. Use the code PODGREAT20 every time you shop Manning. 02:30 - Emily’s Superpower: Finding all the dogs to pet. 05:05 - Emily’s Data Science Journey Organization Behavior Qualitative / Quantitative Research: Women in STEM Fields 08:21 - The Idea of Passion Unlocking the Clubhouse: Women in Computing Gate...2020-04-1559 min

Towards Data Science28. Emily Robinson - Building a Career in Data ScienceIt’s easy to think of data science as a purely technical discipline: after all, it exists at the intersection of a number of genuinely technical topics, from statistics to programming to machine learning. But there’s much more to data science and analytics than solving technical problems — and there’s much more to the data science job search than coding challenges and Kaggle competitions as well. Landing a job or a promotion as a data scientist calls on a ton of career skills and soft skills that many people don’t spend nearly enough time honing. On this...2020-04-0743 min

Practical AIBuilding a career in Data ScienceEmily Robinson, co-author of the book Build a Career in Data Science, gives us the inside scoop about optimizing the data science job search. From creating one’s resume, cover letter, and portfolio to knowing how to recognize the right job at a fair compensation rate. Emily’s expert guidance takes us from the beginning of the process to conclusion, including being successful during your early days in that fantastic new data science position. Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join toda...2020-03-1651 min

Women in Tech with ArianaStart a Career in Data Science with Emily & JacquelineThe Women in Tech with Ariana podcast is a weekly podcast that talks about the latest news in tech, showcasing guest, and sharing tangible resources to help women navigate the tech industry and entrepreneurship. Whether we are talking about funding opportunities for your startup, a conference you should attend, coding boot camps or a VC fund you should apply for, we want to provide you access to these tools and opportunities! Tune in to this episode to hear from Emily Robinson & Jacqueline Nolis. Experts data scientist, their journey through tech and their practical how to tips to...2020-03-0933 min