Tag Archives: Soft skills

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How should be Modern Marketers?

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As soon as the field of SEO is evolving, the necessity is also increasing for the marketing teams to use left and right brained skill sets. They need creativity and imagination so that they could create great content that would inspire social shares and contributes in high ranking searching.

They should be expert in the art of performance tracking and analytics. The tactics of the modern marketers includes influence and storytelling through the structures and analytics. This kind of balance is necessary in order to succeed in the SEO landscape.

SEO is important both in terms of technical and creative. Along with optimization of their technology, they also need to ensure that our content is compelling as well as interesting and unique with human interests.

User experience is the bridge that connects all of these components as we know that audiences are becoming different and so are their tactics and strategies used to reach them. So it is obvious that there are some sorts of skills that are being required by today’s modern marketers and professionals as well.

There are mainly two types of skills which are required by the marketing professionals:
• Hard Skills
• Soft Skills

Hard Skills: It mainly includes

  • Analytics: Through the analytics, he would be able to interpret audience, behavior as well as can assess campaign performance and measure ROI.
  • Content Strategy: It is helpful in defining our content goals and its uses in SEO, link building and amplification the best practices.
  • Social Media: If he is expert in the social media marketing, it will help to company in making the smart decisions with their time and money on social.
  • Mobile: Today very person use mobile so he should be expert in mobile marketing and also deliver successful social campaigns on mobile.
  • E-Commerce: Through this, he can use insights about customers, campaigns, social and mobile for helping new channels.

Soft Skills: It mainly includes:

  • Creative: He should be capable of bringing new ideas and interpretations to issues and knows better ways to solve them and use power of well written words.
  • Resourcefulness: He must be capable of finding most accurate sources of data and make the most correct analysis.
  • Adaptability: He should be adapting to the emerging technologies and methodologies.
  • Leadership: He would be able to lead and inspire peers with his insights and new ideas, experiences and innovations.

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Modern Data Scientists

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Data scientist jobs are most fashionable job today in IT field. It is considered as the most desirable job of 21st century, which requires a culture of multidisciplinary skills. A data scientist job is considered as multi function job because it needs different scale of skills by combining many skills such as intersection of mathematics, computer science, statics, business and communication.

Finding a data scientist is not a cakewalk, it’s really tough to find the data scientist. And finding the people who can understand that what a data scientist is even more complicated, to hire a data scientist we need a strong HR team which can analyze all the qualities of a data scientist. So let us know what a data scientist really is?
Quality of a Data scientist has been taken into the four parts:

1) Math and Statistics
2) Programming and Database
3) Domain knowledge and Soft skills
4) Communication and Visualization

Let us have the spot light on each topic:

Math and Statistics: Data scientist must have good understanding of statistics, they must be familiar with statistical tests, distribution etc. in math and statistics a data scientist should know about machine learning, statistical modeling, experiment design, Bayesian inference, supervised and unsupervised learning, optimization of gradient, decent and variants.

Machine learning– suppose you are working in large company with large amount of data or a company whose products itself are data driven (using Google maps, Uber), than you must know about machine learning methods.

Programming and Database: A data scientist must have a decent programming skill, such as c, c++. And statistical programming skills such as Python, R. and also knowledge about database and SQL. As well as they must have knowledge about computer science fundamentals, scripting languages, relational algebra, hadoop.

Domain knowledge and Soft skills: A Data scientist must be passionate about the business, curious about the data, influence without authority. Must have hacker mindset, problem solver. Soft skills should be excellent so that communication should be easily done.

Communication and Visualization: Ability to engage with the senior management. Story telling skills and creative mindset, translate data-driven insights into decision actions, visual art design, R packages like ggplot or lattice.