Product Insight, Inc.’s Post

One of the pain-points I heard from data leaders last year was that it can be hard to justify hiring a data engineer. Hiring a data scientist or analyst is generally easier to sell to the business because their work is immediately tangible. Many data scientists and analysts are also great at building SQL and notebooks workflows that can take data from Data Lakes and process it into a usable format. So why even hire data engineers? This is a question so many companies have run into. The truth is, companies can get away without data engineers for a little bit. But here’s what often happens. 1)Tech-debt starts to build 2) Lots of pipelines and data workflows get set-up for one-off requests 3) No one ever thinks about data governance 4) Even small changes risk breaking multiple critical flows 5) No one wants to own any of the above This has happened time and time again. It eventually comes to a head once the CEO is tired of dealing with conflicting numbers, slow dashboards and the constant "we can't change that, or something might break" responses. If you're that CEO or a data leader who needs to have that conversation with the CEO, then let's talk!

#hiring Staff Data Scientist - Controls/Access, San Francisco, United States, fulltime #jobs #jobseekers #careers #SanFranciscojobs #Californiajobs #ScienceTechnology Apply: https://lnkd.in/gWFUNH8C Job Description The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. In this role, you'll be embedded in the Controls/Access workstream and collaborate closely with product management as well as other cross-functional partners to drive meaningful change that helps expand access to Cash App products while protecting our customers and their money. We expect that this workstream will be doing some of the most visible and impactful work within the DS org. Because our Health DS team plays such a critical role in building and maintaining trust with our users, an appreciation for the connection between your work and the experience it delivers to customers is absolutely critical for this position. As a Data Scientist, you will: Partner directly with the Cash App Health org, working closely with product, engineers, and machine learning teams Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior Design and analyze A/B experiments to evaluate the impact of changes we make to the product Work with engineers to log new, useful data sources as we build new product features Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team Build and share data visualizations and self-serve dashboards for your partners Effectively communicate your work with multiple audiences including executives, team leads and cross-functional stakeholders on a regular basis

#hiring Staff Data Scientist - Controls/Access, San Francisco, United States, fulltime #jobs #jobseekers #careers #SanFranciscojobs #Californiajobs #ScienceTechnology Apply: https://lnkd.in/gWFUNH8C Job Description The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. In this role, you'll be embedded in the Controls/Access workstream and collaborate closely with product management as well as other cross-functional partners to drive meaningful change that helps expand access to Cash App products while protecting our customers and their money. We expect that this workstream will be doing some of the most visible and impactful work within the DS org. Because our Health DS team plays such a critical role in building and maintaining trust with our users, an appreciation for the connection between your work and the experience it delivers to customers is absolutely critical for this position. As a Data Scientist, you will: Partner directly with the Cash App Health org, working closely with product, engineers, and machine learning teams Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior Design and analyze A/B experiments to evaluate the impact of changes we make to the product Work with engineers to log new, useful data sources as we build new product features Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team Build and share data visualizations and self-serve dashboards for your partners Effectively communicate your work with multiple audiences including executives, team leads and cross-functional stakeholders on a regular basis

#hiring Staff Data Scientist - Controls/Access, San Francisco, United States, fulltime #jobs #jobseekers #careers #SanFranciscojobs #Californiajobs #ScienceTechnology Apply: https://lnkd.in/gWFUNH8C Job Description The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. In this role, you'll be embedded in the Controls/Access workstream and collaborate closely with product management as well as other cross-functional partners to drive meaningful change that helps expand access to Cash App products while protecting our customers and their money. We expect that this workstream will be doing some of the most visible and impactful work within the DS org. Because our Health DS team plays such a critical role in building and maintaining trust with our users, an appreciation for the connection between your work and the experience it delivers to customers is absolutely critical for this position. As a Data Scientist, you will: Partner directly with the Cash App Health org, working closely with product, engineers, and machine learning teams Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior Design and analyze A/B experiments to evaluate the impact of changes we make to the product Work with engineers to log new, useful data sources as we build new product features Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team Build and share data visualizations and self-serve dashboards for your partners Effectively communicate your work with multiple audiences including executives, team leads and cross-functional stakeholders on a regular basis

#hiring Staff Data Scientist - Controls/Access, San Francisco, United States, fulltime #jobs #jobseekers #careers #SanFranciscojobs #Californiajobs #ScienceTechnology Apply: https://lnkd.in/gWFUNH8C Job Description The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. In this role, you'll be embedded in the Controls/Access workstream and collaborate closely with product management as well as other cross-functional partners to drive meaningful change that helps expand access to Cash App products while protecting our customers and their money. We expect that this workstream will be doing some of the most visible and impactful work within the DS org. Because our Health DS team plays such a critical role in building and maintaining trust with our users, an appreciation for the connection between your work and the experience it delivers to customers is absolutely critical for this position. As a Data Scientist, you will: Partner directly with the Cash App Health org, working closely with product, engineers, and machine learning teams Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior Design and analyze A/B experiments to evaluate the impact of changes we make to the product Work with engineers to log new, useful data sources as we build new product features Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team Build and share data visualizations and self-serve dashboards for your partners Effectively communicate your work with multiple audiences including executives, team leads and cross-functional stakeholders on a regular basis

#hiring Staff Data Scientist - Controls/Access, San Francisco, United States, fulltime #jobs #jobseekers #careers #SanFranciscojobs #Californiajobs #ScienceTechnology Apply: https://lnkd.in/gWFUNH8C Job Description The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. In this role, you'll be embedded in the Controls/Access workstream and collaborate closely with product management as well as other cross-functional partners to drive meaningful change that helps expand access to Cash App products while protecting our customers and their money. We expect that this workstream will be doing some of the most visible and impactful work within the DS org. Because our Health DS team plays such a critical role in building and maintaining trust with our users, an appreciation for the connection between your work and the experience it delivers to customers is absolutely critical for this position. As a Data Scientist, you will: Partner directly with the Cash App Health org, working closely with product, engineers, and machine learning teams Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior Design and analyze A/B experiments to evaluate the impact of changes we make to the product Work with engineers to log new, useful data sources as we build new product features Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team Build and share data visualizations and self-serve dashboards for your partners Effectively communicate your work with multiple audiences including executives, team leads and cross-functional stakeholders on a regular basis

Join me at BrainStorm! Let me know if you are thinking about applying.

I want to share a wonderful article by Pedram Navid - The Rise of the Data Platform Engineer https://lnkd.in/gCTaTEZf When we started Statsig, I was a Data Scientist amongst a team of Software Engineers. I wrote our statistical methods as pipelines, and our engineers helped design and optimize our cloud data architecture. We saw success early, added more Data Scientists to better our stats engine while managing exponentially growing data volumes from our earliest customers (Thank you Headspace Notion and Ancestry). With scalability challenges, we needed an expert to bridge Data Science and Infra with our Data Architecture. We called this role a Data Engineer, but the term never felt right. I came from Meta where Data Engineers were part of the value-in-data creation chain, helping make data more accessible and useful by creating pipelines, datasets, and dashboards. Sure, our Data Engineers needed to build pipelines, but more importantly, they need to ensure our data platform had reliability, scalability, maintainability, and extensibility. Our product is Data, and it's not okay to deliver results incorrectly or late. On top of that, we needed custom data tooling while making sure Data Scientists could still build features quickly. I suddenly realized that we needed a data specialist that thought like a software engineer… a software engineer who loved working in data. Not surprisingly, when we listed job openings for Data Engineers, the applicants often lacked the right skills and experiences. But when we called it a Software Engineer on the Data team, we got the right people. The best candidates often held mixed job titles, switching between Data and Software Engineers… but they always identified as a Software Engineer. Pedram's article does an excellent job articulating how the role of Data Platform Engineer has risen and will replace what I knew as a Data Engineer. It makes a lot of sense that this is actually the role we've been hiring for. If you've read it and this resonates with you... we're hiring! Job description in the comments. But be prepared to explain what a Data Platform Engineer is and why you were born to do this.

Data Engineer, Data Scientist, and Data Analyst are distinct roles within the field of data science and analytics, each with its own set of skills, career paths, tools, and job opportunities. Here's a comparison of these roles #data #datascience #dataengineers #dataanalysis

The real benefits of hiring a #TechforceByDesign team of Data Engineers: ⚡ Automate tasks ⚡ Provide a robust data analysis ⚡ Reduce time on repetitive tasks ⚡ Increase protection Are you interested in increasing your team's productivity with a team of data engineers? #SkillStorm #DataEngineer