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Hiring a Marketing Analyst or Data Scientist? Here’s What They Should Know About Predictive AI 🤝 🤓 The world of data analysis is shifting fast, and if you’re hiring a marketing analyst or data scientist, it’s crucial they come equipped with knowledge about predictive AI. Here’s what to look for when assessing candidates’ readiness for a predictive AI-driven environment: 1. Understanding of Predictive Modeling: Predictive AI involves more than just crunching numbers; it’s about creating models that forecast behaviors, customer trends, and revenue outcomes. Candidates should be familiar with building and evaluating predictive models and understanding which algorithms to apply for different marketing needs. 2. Experience with Automated Data Science Tools: Predictive AI platforms like Forwrd.AI are designed to streamline and automate the data science process, particularly in Go-to-Market (GTM) teams. Look for candidates who are comfortable with AI-driven platforms that automate everything from data prep to model deployment. This familiarity will speed up their time to productivity and help them make a bigger impact. 3. Ability to Interpret and Validate AI-Driven Insights: AI can reveal new insights, but it’s up to the data scientist to validate and contextualize these findings. Seek candidates who can go beyond just accepting AI outputs—those who critically evaluate predictions and understand how these insights align with marketing strategies. 4. Adaptability to Rapid Tech Advances: Predictive AI and machine learning evolve rapidly. A strong candidate should demonstrate a mindset of continuous learning, especially around advancements in machine learning algorithms and model optimization. This adaptability ensures they can keep pace as new techniques and tools emerge. 5. Collaboration with Non-Technical Teams: In a predictive AI-driven environment, cross-functional collaboration is essential. A great candidate can bridge the gap between data science and GTM teams, making AI insights accessible and actionable for decision-makers in sales, marketing, and customer success. Hiring the right analyst or data scientist can make a powerful difference for your GTM team, especially with predictive AI in the mix. Ready to empower your data team with Forwrd.AI’s automated predictive platform? Learn more about how we can help your team move faster and drive deeper insights. #BePredictive #MarketingAnalytics #DataScience #Hiring #PredictiveAI #AIModeling #MarketingOperations #RevOps

Positive signs and some fabulous roles in you have the language skills. A growth in AI, Ethics and Governance roles.

DVA is not associated with this job posting Senior Data Scientist United States, Remote https://lnkd.in/g_3af_K7 Purpose of the Job Sr Data Scientist leads and drives strategic AI solutions, leveraging advanced data science expertise and innovative problem-solving skills. As a Senior Data Scientist, the role involves designing complex AI solutions aligned with business objectives, utilizing a deep understanding of cutting-edge algorithms and methodologies. This position focuses on continuous learning and adaptation to emerging technologies, ensuring the highest level of technical mastery. Additionally, the role emphasizes collaboration, mentorship, and thought leadership to contribute to the organization's growth and maintain a standard of excellence in AI solution design and deployment. Responsibilities & Accountabilities AI Solution Design and Development: Lead the design and development of AI solutions, identifying complex business problems and developing high-level architectures with minimal guidance. Evaluate various algorithms and data sets to determine the most effective solutions for given business problems, ensuring optimal model performance. Handle AI solution requirement gathering, design, and development process management to meet business objectives and stakeholder needs. Effectively communicate insights, recommendations, and AI solution progress to stakeholders, ensuring alignment with business goals. Develop customized models tailored to specific business problems using advanced machine learning algorithms and handling complex and unstructured data sets. #employeeexperience #people #culture #hiring #talent #skills #passion #leadership #hr #humanresources #team #strategy #hrstrategy #business #team #careers #employment #jobs #hiring #job #jobsearch #recruitment #career #work #careers #recruiting #nowhiring #resume #jobhunt #business #jobseekers #jobopening #jobseeker #hiringnow #interview #jobsearching #vacancy #cfbr #education #jobinterview #jobopportunity #employmentopportunities

📢 Opportunity alert 👀 We are increasingly being asked by our clients to guide, advise and help deliver their AI and data strategy as they look to transform the way they operate. As a result we are looking for an AI and data strategist to join us. 👇 #strategy #ai #data #aistrategy #consulting #transformation

goodspace ai is Hiring for Data Analyst For More Details, Check Out at Link in Comment Follow Career Hunger for More Tips and Insights! Tag someone who needs to see this or share it with your network! Let's connect exceptional talent with exceptional opportunities. #dataanalyst #remote

Data science continues to be one of the most in-demand skillsets in the job market, with certain industries leading the way in hiring. If you’re passionate about data-driven innovation, these five fields are prime for growth and opportunity. 𝟏. 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 : Big data, AI, and cloud solutions are transforming this sector. Companies are hiring data experts to push innovation and maintain a competitive edge. 𝟐. 𝐅𝐢𝐧𝐚𝐧𝐜𝐞: From fraud detection to risk management, data science is key to driving smarter decisions and enhancing customer trust in the finance world. 𝟑. 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞: Data is saving lives. From predictive analytics to personalized care, healthcare is tapping into data science for breakthroughs in patient outcomes. 𝟒. 𝐄-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞: Personalized recommendations, inventory predictions, and customer insights make data scientists essential in this fast-paced sector. 𝟓. 𝐄𝐧𝐭𝐞𝐫𝐭𝐚𝐢𝐧𝐦𝐞𝐧𝐭: Streaming giants and gaming companies are using data to understand audiences better, personalize content, and enhance user experiences. Data science is more than a trend—it’s the backbone of modern innovation. #DataScience #TechHiring #Analytics #CareerDevelopment #LinkedIn

Another AI product manager opening. It’s Friday people and that only means one thing. Friday is when positions are posted up the most, but nobody is applying even though this is the best time. Hiring managers procrastinate just like you and there is no other time product managers roles are posted on LinkedIn more that Friday night and a little bit Saturday morning. These are the most commonly posted product manager roles and also the industries that are thriving. Digital payments Healthcare or Health Tech E-commerce Data Privacy and/or Cybersecurity Growth AI Product Strategy and Roadmap Recently Funded Startup of First PM Hire (💰💰💰) Automotive Product Leader (ie head or director of product) I have a resume template for each type of product manager role in Skool! https://lnkd.in/gtQjCfUH See you in Skool for the resume templates. https://lnkd.in/gtQjCfUH PS Are you curious how my team is able to get to these roles as fast as we do? You can find out the hack in Skool! https://lnkd.in/gtQjCfUH Don’t be late to Skool! https://lnkd.in/gtQjCfUH #productmanagement #productmanagementcareers #productmanagementjobs #speedtolead

I hate to say it.. But January was a tough market to hire strong AI talent for employers! But not for us, we placed 5 Senior professionals into new companies. Let's look at the stat's: CIO Online reported that the roles of a Big Data Engineer and a Data Scientist were in the top 15 most in-demand jobs in 2024. In addition, the Business Insider reported that we should expect that a multitude of companies across various industries will be looking to hire Machine Learning Engineering teams to automate processes and to evolve their current legacy systems internally. For all three jobs above, LinkedIn insights relays that this talent is in 'very high demand' and difficult to hire for due to this (on a global scale). So, where do we come in? We have a team of 6 specialist AI recruitment consultants at your disposal, with a network that spans the world. We are currently the biggest AI recruitment team in Europe and have a focus on headhunting diverse, quality talent that exist in our internal database, and in our networks. If you are looking to hire, let's chat? #machinelearning #machinelearningengineer #aijobs #hiring #data

DVA is not associated with this job posting Staff Data Scientist at Correlation One https://lnkd.in/gFGbuM65 A Day In the Life: Architect and build scalable machine learning solutions and AI applications Design and implement reliable, reusable frameworks and abstractions to standardize AI model development. Engage in hands-on development, from model prototyping to deploying scalable AI systems. Lead efforts to ensure that AI models and data practices uphold ethical standards, including fairness, transparency, and accountability. Work closely with product managers and business stakeholders to translate business challenges into data-driven projects that deliver measurable outcomes. Mentor junior data scientists and foster a culture of technical excellence. Stay updated and educate the team on the latest trends in AI and machine learning technologies. #employeeexperience #people #culture #hiring #talent #skills #passion #leadership #hr #humanresources #team #strategy #hrstrategy #business #team #careers #employment #jobs #hiring #job #jobsearch #recruitment #career #work #careers #recruiting #nowhiring #resume #jobhunt #business #jobseekers #jobopening #jobseeker #hiringnow #interview #jobsearching #vacancy #cfbr #education #jobinterview #jobopportunity #employmentopportunities

Forget the tech stack & AI for a minute. Companies really just need to know the following: - What their customers need - How their customers are behaving - What their customers are likely to do next - How to provide for their customers to tie this all together This is what good Data Scientists & Analysts provide for their companies. This is where their value sits. Helping companies to make better, faster, and more informed decisions. If you want to move into the field, keep this at the front of your mind. Don't get distracted by tools & buzzwords. This is the time for learning the key skills that add value, and learning how to showcase these in a way that will sync with an under-pressure hiring manager. Be the Data Scientist or Analyst that companies need right now - you will be sought-after, and you will be treasured. #datascience #analytics #data #datascienceinfinity