Based on the recent trends, it is obvious that the boundaries between Data Science and Product Innovation are gradually fading. The definition of Data Scientists is evolving with each passing day, enforcing professionals to keep their skills sharp and relevant to the industry demands. The actual work of a Data Scientist could be 180-degrees apart from the initial job description and scope of the role. This has done two things for all the professionals and fresh graduates eyeing a data science role –
Firstly, professionals can apply for 50+ job titles in the industry. Secondly, there are new types of confusions, opportunities and challenges that are resulting in fresh workplace dynamics.
With a relevant AI Certification, you can gaze at the future job market in the data science with clear vision and goal.
In this article, we tell you the most highly sought after job titles you can dig into, with an AI certification.
Head Scientist- Augmented Analytics
According to Gartner, Augmented Intelligence and Analytics are set to become mainstream capabilities that are embedded into Enterprise Applications, such as Marketing, Sales, Finance, HR, Customer Service, Supply Chain and Revenue Optimization.
By 2020, there would be 5 times greater demand for Data Scientists responsible to look into Augmented Analytics, compared to generic data scientists.
Head of Digital Customer Experience
Customer Experience and Personalization are the two top-trending technology driven aspect of doing online commerce. With the growth of e-commerce and mobile commerce, retail marketing teams have focused their efforts to deliver on customer experience goals. This can be achieved by deploying Email Marketing automation, Chatbot, automated call centers and cloud Contact Centers that use call analytics and call intelligence to measure various touchpoints along the customer journeys. The final outcome – The Head of Digital Experience supervises Marketing and Sales teams to better understand their customers and their demands from technology interactions.
Head of Immersive Experience- AR, VR and MR
The world of immersive experience has clearly moved away from the basic headset hardware. An exciting arena for those who want to explore simulating experiences delivered by technology, the Chief Immersive Officer title is responsible for creating an absolute roadmap for teams, products and research on trends and innovations.
Consumer appliances, health and fitness apps, assistive technologies and automobiles are the top adoption centers of AR, VR and MR experiences.
Google BigQuery is an enterprise-level data warehouse that uses GCP UI/UX to create powerful data visualization. BigQuery Engineers are entrusted to use command-line tools with a variety of client libraries like Python, R, .NET and SQL. A BigQuery Engineer is responsible for building a fast, scalable, really cost-effective and fully managed Cloud Data Warehouse for analytics and management using AI and Machine Learning skills. The Engineer should have a fair knowledge of how BigQuery uses familiar ANSI-compliant SQL and provides ODBC and JDBC drivers.
Machine Learning Specialist for Fraud Analytics- Credit Card
In the US, banking frauds swallow $2 billion every year. With Machine Learning-based fraud analysis, this criminal rate has been blocked significantly.
Leading global analytics firms are hiring professional experts with AI certification for Fintech and Fraud Analytics roles. Machine Learning Specialists for Fraud Analytics in Credit Card departments are responsible for Quantitative and Qualitative analysis of Credit and Debit card portfolio for various banking operations that are at risk of fraudulent activity at both online and offline mode, including ATM transactions at kiosks. The employers expect the candidates to be proficient with Banking analysis, machine learning and Big Data modeling, and credible history of working with SAS Analytics across various programming domains.
Artificial Intelligence- Researcher and Subject Matter Expert (SME)
For those who love to train and teach others about this wonderful technologies and tools, SME is a cool job title. It involves supporting and promoting internal teams with technical content, data analytics, and high-traction intelligence for decision-making management that is based on review, audit and digital content. AI researchers and SMEs are also the most sought-after titles in the private education and engineering colleges that provide classroom and online training to students and candidates.
These SMEs write reports, research thesis and high-quality AI papers for the Ivy League colleges, IIMs, IITs and leading AI research teams such as Google, Salesforce, SAS, Tencent, Baidu and so on.
Head of Social Media Intelligence and Brand Reputation
In 2010, social media jobs had a certain charm with the kind of perks, lifestyle and work culture they offered. In 2020, nothing much has changed about them, except for this. They have become smarter, and more efficient by virtue of changing dynamics of AI, machine learning and Big Data modeling. Global companies are hiring AI certified Social Media Experts who understand how keywords, social media trends and product recommendations can control branding and customer acquisition strategies. A Head of Social Media Intelligence and Brand Reputation employed with a leading Consumer Products Group (CPG) or FMCG, or Banking and Finance, would be responsible for providing leadership analysis on transformative strategies related to customer experience, social media reputation, fake news identification, traffic analysis, customer sentiments and machine learning interactions for real-time communication with high-value clients.
Lead Developer/ Engineer/ Big Data Modeler for Sports Analytics
The application of statistical analysis to Sports at pre-match, during and post-match conditions is a billion dollar industry in itself.
Sports Analytics has been in practice for decades. However, with the coming of age for Machine Learning and AI –related courses, Sports Analytics has received a major impetus. The specialization is an attractive proposition for Python and R developers, C++ and Java experts who have AI certification. The use of AI and machine learning concepts in Sports Analytics routinely involves measuring the performance of a team, player and win-loss predictions based on a player’s current form, venue factors and millions of factors that can affect the outcome of a match.
With an AI certification, a Lead Big Data Engineer for Sports Analysis Company would spend resources for these activities—
- Data Management
- Face Experience and Engagement (at Wimbledon, FIFA, etc)
- Advertising and Branding Revenue from ads, retails, sponsorships and tickets
- Advanced Analytics using predictive intelligence
- Data visualization and reporting
Leading companies such as IBM, SAS and Google are continuously working on Sports Analytics to improve the accuracy of data management and analysis to create highly accurate predictive and descriptive models based on a large data set collected from sports events. The trends in these activities can be analyzed and implemented to other related industries such as TV advertising, social media fan comments, team management and so on.
Clinical Intelligence Analyst
Healthcare costs are wrecking the backbone of global economy. The trend of ever-rising cost of drugs, medical diagnosis and surgical procedures can be reversed using Clinical Intelligence applied to improve care delivery and patient management. A Clinical Intelligence Analyst makes it to the list of cool job titles with AI certification owing to its rapid growth in the salary charts.
The generic definition of a Clinical Intelligence Analyst is –
“a broad-spectrum analyst professional who understands and applies various Information and Data Management technologies to gather, process, analyze and apply insights from patient data, medical records, healthcare data and drug discovery reports.”
A Clinical Intelligence Analyst would be responsible for Clinical Performance Management, Revenue Optimization, Drug Automation, Healthcare Quality Assessment and government-related auditing and cyber risks.
Related job titles in this industry are Clinical Information Analyst, Medical Scanner and Auditor, Oncology Prediction Analyst, Medical Content Intelligence, Administrative Intelligence, and Drug Discovery Researcher.
Food Safety Officer –AI and the Future of Food
After drugs and healthcare, the food industry too has raked up the courage to employ and promote AI experts in their operations. The last and the best job title in this list of coolest AI-focused domain is that of the Food Safety Officer who are responsible for detecting the shelf life of various perishable food items, including those used in the space, military, and in childcare.
As a self-proclaimed chocolate researcher and aficionado, I see the role of Chocolate Researcher also falling within the ambit of an FSO. So would wines, club drinks, baby foods, pregnancy diet items and patient-care food items.
However, the charm doesn’t lie with the luxury and taste of the industry. It is what AI experts can do with the technology to predict and prevent famines by accurate relocation of food items from over-producing regions to the starving ones. Also, AI can accurately be employed to measure the Carbon index of each food item and how it impacts global temperatures, encouraging humans to go green and avoid meat and fish items.
A holy thought… isn’t it!
It is clear that the AI field is evolving and currently in a state of flux. It will continue to evolve further, making a huge impact on the associated technologies, bringing some major changes to the profession.