Stealth iT Consulting’s Post

Hi #DataScience #MachineLearning Connections 😄 I am currently partnering with a market leader within its industry to hire a data scientist to help driving the digital transformation projects! Data Scientist (Negotiable) -4+ years of experience in data science (ML Ops, machine learning) and enjoy developing data models to draw insights with the team If you'd like to learn more, share your CV with me by email: agnes.chow@hays.com.hk or DM for a confidential discussion😊 ! #HaysTechnology #Hays #AzureCloud #DataScience #DataAnalytics #DataArchitect #DataEngineering #DataManagement #RPA #DataScience #MachineLearning

🔍 Struggling to find your first Data Scientist? I've seen firsthand how critical - and challenging - hiring your first Data Scientist can be. This isn't just another hire; it's a strategic move that can reshape your company's future. The ideal candidate needs to: *Pioneer data-driven culture in your organisation *Navigate your unique data landscape *Optimise your tech stack for data science *Align projects with business goals *Translate insights for C-suite decision-making *Deliver tangible value through prototypes and tools *Often double as a Data Engineer Finding this unicorn is tough, but not impossible. With the right approach, you can secure a game-changer who'll set the foundation for your data science journey. Contact me to discuss how I can help you 🖥 zoe@vermillionanalytics.co.uk 📞 07828010944 #datasciencerecruitment #techhiring #datastrategy #datarecruitment

"Data Scientist", Is it time to revive the "Scientist" in the role ??? Last weekend I was clearing my book shelves of some old Journals and Magazines. Flipping through before clearing, I browsed the October 2012 HBR. It had a great article written 12 Years back by Thomas Davenport and D. J. Patil “Data Scientist: The Sexiest Job of the 21st Century” https://lnkd.in/gpMskm8j This article was also featured in the HBR @ 100 Compendium published in 2022. Twelve years back, the authors with insights on early data driven innovations at LinkedIn, Facebook, called out the importance of Data Scientists and their role in Product Innovation and Business Growth. The skills set, competencies, and most importantly the social and communications skills needed for a data scientist to be a trusted advisor between Product Mgmt and Executive Mgmt was highlighted. Technical skills coupled with “curiosity to make discoveries in the world of big data”, and ability to narrate the story to Mgmt on the business potential. Most importantly the authors stressed on importance of “scientist” and the attributes and skills needed to be a “Data Scientist” to not let the role degenerate into a Data Manager/Analyst. Apart from Math, CompSci, Stats, a Data Scientist requiring “habits of mind” to “feel for business issues and empathy for customers” and finding a story in a data set and skilled on the tools to prototype and present. Mgmt needs to give them freedom to experiment and explore. The biggest takeaway from the article was about Data Scientists working closely with Products and services teams, and not Mgmt overseeing business. “Their greatest opportunity to add value is not in creating reports or presentations for senior executives but in innovating with customer facing products and processes”. Companies who crafted the role of Data Scientists and got them to lead product innovation, we all can see in the last decade, how they managed to ride the wave of data led innovation. The article 12 years old, but a timely reminder for both Data Science practitioners and Senior Mgmt to bring this role back to the right competencies to deliver business potential. Else we run the risk of Data Analysts/Business Managers being hired as “Data Scientists” and the enterprise missing the opportunity to ride the wave of big data for Product Innovation and Business Growth. #DataScientist #HarvardBusinessReview

Data Scientist vs Data Architect: Career Guide for 2024 https://lnkd.in/gmgH7aUW Information on the responsibilities of data scientists and data architects may be found in the 2024 Career Guide. The aforementioned analysis delves into the duties, competencies needed, and prospective career trajectories of these two essential positions in the data sector. #DataScienceJobProfiles #DataScienceBenefits #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine

#AI #ML #Tech Should You Become A Data Scientist, Data Analyst Or Data Engineer?: Explaining the differences and requirements between the various data roles Continue reading on Towards Data Science » #MachineLearning #ArtificialIntelligence #DataScience

"The data engineering career path offers multiple opportunities for growth and specialization! From a Data Engineer to a Senior Data Engineer, or branching out into roles like Data Scientist or Data Engineering Manager, the possibilities are endless. Ready to take your career to the next level? 🚀 #DataEngineering #CareerGrowth" #DataEngineer #CareerPath #DataScience #TechCareers #DataEngineeringManager #SeniorDataEngineer #TechGrowth #DataAnalytics #DataDriven #AI #MachineLearning

I came across a valuable post earlier this week by Lauren Rosenthal that I thought would resonate with a lot of the data community. As I wrap up the week, I wanted to share it with my network before logging off. We all know that the data job market is tough right now - so don’t limit your search to just "data analyst"! Consider roles like: 🔹 Product Analyst 🔹 Marketing Analyst 🔹 Financial Analyst 🔹 Healthcare Analyst 🔹 Data Viz Specialist 🔹 BI Architect 🔹 Data Scientist 🔹 Database Architect 🔹 Machine Learning Engineer Some roles may need more experience or education, but they’re worth exploring. And ultimately, it all comes down to where your interests lie. #Data #DataAnalytics #BusinessIntelligence #DataScience #MachineLearning #AI #DataVisualization #DataDriven #BigData #DataEngineering #PredictiveAnalytics #DigitalTransformation #DataStrategy

Why Hire a Data Scientist? As a data scientist with expertise in transforming data into actionable insights, I've seen firsthand the impact this role can have on a business. Data scientists bring a unique blend of analytical skills and creative problem-solving, helping companies unlock the potential hidden in their data. - Drive Innovation:Turn data into strategic insights, fueling innovation and growth. - Enhance Efficiency:Optimize processes and automate tasks to save time and resources. - Personalize Experiences:Use data to tailor customer experiences and boost satisfaction. Investing in data science is investing in your business's future. Let's make data work for you! #DataScience #Innovation #TechTalen #SLB #DataScientists

Data Science Careers: Who’s Hiring and What They’re Looking For This article provides data science recruitment for data science careers in 2024 and offers unique challenges and the chance to make significant contributions to data-driven decision-making processes. https://shorturl.at/ndLYu #DataScienceCareers #DataScienceJobs #DataScienceHiring #DataScienceRecruitment#DataScienceJobOpenings #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine