- Building a solid data team - Dec 8, 2021.
How do you put together a solid data science team when it comes to developing data-driven products? A variety of roles are available to consider, so which ones do you need and which are most crucial?
Agile, Careers, Data Engineer, Data Science Team, Data Scientist, Product Owner, Software Developer
- Build an Effective Data Analytics Team and Project Ecosystem for Success - Apr 19, 2021.
Apply these techniques to create a data analytics program that delivers solutions that delight end-users and meet their needs.
Analytics Team, Career Advice, Data Science Team, Excel, Programming, SQL, Success
- Six Tips on Building a Data Science Team at a Small Company - Jan 4, 2021.
When a company decides that they want to start leveraging their data for the first time, it can be a daunting task. Many businesses aren’t fully aware of all that goes into building a data science department. If you're the data scientist hired to make this happen, we have some tips to help you face the task head-on.
Data Science, Data Science Team, Data Scientist
- KDnuggets™ News 20:n42, Nov 4: Top Python Libraries for Data Science, Data Visualization & Machine Learning; Mastering Time Series Analysis - Nov 4, 2020.
Top Python Libraries for Data Science, Data Visualization, Machine Learning; Mastering Time Series Analysis with Help From the Experts; Explaining the Explainable AI: A 2-Stage Approach; The Missing Teams For Data Scientists; and more.
Career Advice, Data Science Team, Explainable AI, Python, Time Series
- The Missing Teams For Data Scientists - Nov 2, 2020.
Still today, too large a percent of data science projects fail, many of which can be attributed to the impacts of how hard missing data teams hit the data science team. Advocating for the missing data engineering and operations components to your team will make your professional life easier and more productive.
Data Engineering, Data Science Skills, Data Science Team, Data Scientist, Team
- The Maslow’s hierarchy your data science team needs - Sep 15, 2020.
Domino Data Lab was announced as a leader for the second year in a row in the recently released “Forrester Wave™: Notebook-based Predictive Analytics and Machine Learning (PAML), Q3 2020” analyst report. True to our data science roots, we’ve built a Maslow’s hierarchy of data science team needs.
Data Science Team, Domino, Forrester, Machine Learning, Predictive Analytics
- Building a Mature Machine Learning Team - Mar 13, 2020.
After spending a lot of time thinking about the paths that software companies take toward ML maturity, this framework was created to follow as you adopt ML and then mature as an organization. The framework covers every aspect of building a team including product, process, technical, and organizational readiness, as well as recognizes the importance of cross-functional expertise and process improvements for bringing AI-driven products to market.
Data Science Team, Machine Learning, Team
- Automated Machine Learning: How do teams work together on an AutoML project? - Jan 2, 2020.
In this use case, available to the public on GitHub, we’ll see how a data scientist, project manager, and business lead at a retail grocer can leverage automated machine learning and Azure Machine Learning service to reduce product overstock.
Automated Machine Learning, AutoML, Azure ML, Data Science Team, Microsoft, Microsoft Azure
- How to Make an Agile Team Work for Big Data Analytics - Oct 31, 2019.
Learn how to approach the challenges when merging an agile methodology into a data science team to bring out the best value for your Big Data products.
Agile, Big Data, Big Data Analytics, Data Science Team
- How to Make a Success Story of your Data Science Team - Jun 25, 2019.
Today, data science is a crucial component for an organization's growth. Given how important data science has grown, it’s important to think about what data scientists add to an organization, how they fit in, and how to hire and build effective data science teams.
Culture, Data Science Team, Hiring, Team
- On Building Effective Data Science Teams - Mar 4, 2019.
We take a look at the qualities that make a successful data team in order to help business leaders and executives create better AI strategies.
CRISP-DM, Data Analyst, Data Engineering, Data Governance, Data Science Team, Machine Learning Engineer
- The Analytics Engineer – new role in the data team - Feb 13, 2019.
In a constantly changing landscape and with many companies, the roles and responsibilities of data engineers, analysts, and data scientists are changing, forcing the introduction of a new role: The Analytics Engineer.
Analytics, Analytics Team, Data Science Team, Engineer, Skills
- A Winning Game Plan For Building Your Data Science Team - Sep 18, 2018.
We need to understand the responsibilities, capabilities, expectations and competencies of the Data Engineer, Data Scientist and Business Stakeholder.
Data Engineering, Data Science, Data Science Team
- Generalists Dominate Data Science - Feb 2, 2018.
An interesting insight into why small teams generalists outperform large teams of specialists.
Data Science, Data Science Team
- How to build a Successful Advanced Analytics Department - Jan 4, 2018.
This article presents our opinions and suggestions on how an Advanced Analytics department should operate. We hope this will be useful for those who want to implement analytics work in their company, as well as for existing departments.
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Analytics, Analytics Team, Business, Data Science Team, Gartner, KPI
- Transitioning to Data Science: How to become a data scientist, and how to create a data science team - Dec 15, 2017.
"A good data scientist in my mind is the person that takes the science part in data science very seriously; a person who is able to find problems and solve them using statistics, machine learning, and distributed computing."
Career, Data Science, Data Science Team, Data Scientist
- How To Become a 10x Data Scientist, part 1 - Sep 18, 2017.
A 10x developer is someone who is 10 times more productive than average. We adapt tips and tricks from the developer community to help you become a more proficient data scientist loved by team members and stakeholders.
Advice, Algorithmia, Data Science Team, Data Scientist, Data-Driven Business, Programming
- Emotional Intelligence for Data Science Teams - Jul 20, 2017.
Here are three lessons for making and demonstrating a greater business impact to your organization, according to Domino Labs most successful customers.
Data Science Team, Domino, Emotion, ROI
- The Evolution of a Productive Data Team - Apr 11, 2017.
Successful data teams at companies of any size are able to produce results because they develop gradually through a series of stages and acquire skills along the way that help them stay efficient and effective.
Data Science Team, Dataiku
- The Data Science Project Playbook - Mar 1, 2017.
Keep your development team from getting mired in high-complexity, low-return projects by following this practical playbook.
Data Science, Data Science Team
- Getting Real World Results From Agile Data Science Teams - Feb 10, 2017.
In this post, I’ll look at the practical ingredients of managing agile data science. By using agile data science methods, we help data teams do fast and directed work, and manage the inherent uncertainty of data science and application development.
Agile, Data Science, Data Science Team, SVDS
- Laying the Foundation for a Data Team - Dec 28, 2016.
Admittedly, there is a lot more to building a successful data team, and we would be lying if we pretended we have it all figured out. But hopefully focusing on the elements in this post is a good start.
Analytics Team, Data Science Team, Team
- Data Avengers… Assemble! - Nov 19, 2016.
The Avengers are perfectly capable of defending the Earth from our worst enemies. But are they up to the task of taking care of our data? Read this terribly punny "opinion" piece to find out.
Comic, Data Science, Data Science Team
- Big Data Science: Expectation vs. Reality - Oct 27, 2016.
The path to success and happiness of the data science team working with big data project is not always clear from the beginning. It depends on maturity of underlying platform, their cross skills and devops process around their day-to-day operations.
Big Data, Big Data Engineer, Data Science, Data Science Team, DevOps
- The Core of Data Science - Aug 1, 2016.
This post provides a simplifying framework, an ontology for Machine Learning and some important developments in dynamical machine learning. From first hand Data Science product experience, the author suggests how best to execute Data Science projects.
Bayesian, Data Science, Data Science Team, Ontology
- Three Pitfalls to Avoid When Building Data Science Into Your Business - Apr 27, 2016.
An overview of pitfalls to avoid when building data science into your business, how to avoid them, and what to do instead.
Advice, Data Science Team
- Three Essential Components of a Successful Data Science Team - Aug 10, 2015.
A Data Science team, carefully constructed with the right set of dedicated professionals, can prove to be an asset to any organization,
Business Analyst, Data Engineer, Data Science Team, Machine Learning, Team