
Charting Business Success with Data Scientists
Apart from deploying advanced analytics tools as part of a concerted big data program, the other key criteria for an IT enterprise is to build a team of data scientists. Rated as one of the most desired jobs of the 21st century, the position of a data scientist has gained popularity within a short timeframe. The relative ease, with which the mid-level professionals and even fresh graduates can acquire the required skills and get hired, is alluring more people toward data scientist position. The popularity of the data scientist jobs can also be attributed to a flurry of emerging technology trends that are dictating the analytics efforts today. This has eventually resulted in the urgent need for skilled workers with analytics expertise who are adept at deriving valuable insights out of the huge volumes of data.
Skills for a Data-driven Culture
As the demand for data scientists continues to outpace the availability of skilled professionals for the job, there are certain skill sets that can be acquired by IT professionals to fill in this gap. For someone who wonders what differentiates the role of a data scientist from a Business Intelligence (BI) or analytics expert, the answer lies in how data science seamlessly intermingles with big data and IoT (Internet of Things). The rise of big data technologies has also made it necessary for the data scientists to have working knowledge about big data frameworks such as Apache Hadoop, Spark, Solr, and Kafka. A data scientist is expected to possess skills related to machine learning, statistics, data analysis, and programming languages such as Python. As the data scientist’s job revolves around working on analysis and data modeling, they must be proficient in working with data visualization libraries as well.
Skills that Add Value to the Role of Data Scientist
While data scientists are expected to have a thorough understanding of statistical research techniques, applied mathematics, and data mining, they are also expected to possess in-depth industry knowledge to discern patterns that could be used to discern risks and opportunities. Data presentation and interpersonal skills are a beneficial add-on to the repertoire of skill sets offered by the data science professionals as analytics communication to make the trends easily understandable for the C-suite, adds value to an enterprise’s Analytics program. Also, a data scientist must possess proactive leadership qualities. To clearly trace the data sources and identify the data bias are some critical abilities a seasoned data scientist must possess in order to advise companies in their analytics efforts.
Tapping the Data Science Talent Market
Companies are often advised to append data scientists to various departments to gain a business context with regards to their data sets. To set data culture in motion, enterprises must use recruiting tactics to tap into the potential offered by the ever-evolving, skills-based markets. Additionally, to counter the gap in the availability and requirement for the right talent, enterprises can create in-house analytics courses as a cost-effective strategy to fill in the data scientists posts. The key lies in creating an in-house data science and analytics talent pipeline to build a robust data science team. For instance, a competent coder who is enthusiastic about attaining proficiency in new coding languages and programs may be an ideal choice for someone who can be trained to become a data scientist. The introduction of an apprentice-mentor style to training will allow the high potential employees to effectively contribute to the enterprise’s data analytics program. Employees who are already familiar with the industry and the business are the best fit for the position of data scientists as this allows the organization to reap a significant return on their investment with a short timeframe.
Check Out: CIOReview | Client
ON THE DECK
Featured Vendors
Next Level Business Services (NLB): Applying Digital Transformation to Create Supply & Service Value Chains of the Future
Gerber Technology: Reshaping the Dynamics of the Fashion & Apparel and Flexible Materials Industries
FileFacets: A One-stop Solution for Locating and Identifying Data Across the Enterprise" title="Jennifer Nelson, VP, Sales & Marketing" style="float:left; margin-right:10px; margin-bottom:20px;" width="60px" height="50px">
FileFacets: A One-stop Solution for Locating and Identifying Data Across the Enterprise
Infoworks: Dynamic Data Warehousing on Hadoop that Automatically Ingests and Organizes Enterprise Data for All Use-cases
ThetaRay: Advanced Data Analytics Provide an Enhanced Security Layer to Combat Bank Fraud and Cybercrime
VentureSoft Global: Robust Big Data Solutions for Customer, Product Profitability and Operational Efficiency
Absolut-e Data Com BizStats – Leveraging Artificial Intelligence To Extract The True Potential Of Data
Relational Solutions, Inc.: Delivers Enterprise Demand Signal Repositories to the Consumer Goods Ind
Emagine International: Adaptive Contextual Marketing Platform for Personalized Customer Interactions
Cygnus Professionals: Translate Big Data into Actions: An Analytics Platform Transforming Enterprise
EDITOR'S PICK
Essential Technology Elements Necessary To Enable...
By Leni Kaufman, VP & CIO, Newport News Shipbuilding
Comparative Data Among Physician Peers
By George Evans, CIO, Singing River Health System
Monitoring Technologies Without Human Intervention
By John Kamin, EVP and CIO, Old National Bancorp
Unlocking the Value of Connected Cars
By Elliot Garbus, VP-IoT Solutions Group & GM-Automotive...
Digital Innovation Giving Rise to New Capabilities
By Gregory Morrison, SVP & CIO, Cox Enterprises
Staying Connected to Organizational Priorities is Vital...
By Alberto Ruocco, CIO, American Electric Power
Comprehensible Distribution of Training and Information...
By Sam Lamonica, CIO & VP Information Systems, Rosendin...
The Current Focus is On Comprehensive Solutions
By Sergey Cherkasov, CIO, PhosAgro
Big Data Analytics and Its Impact on the Supply Chain
By Pascal Becotte, MD-Global Supply Chain Practice for the...
Technology's Impact on Field Services
By Stephen Caulfield, Executive Director, Global Field...
Carmax, the Automobile Business with IT at the Core
By Shamim Mohammad, SVP & CIO, CarMax
The CIO's role in rethinking the scope of EPM for...
By Ronald Seymore, Managing Director, Enterprise Performance...
Driving Insurance Agent Productivity with Mobile and Big...
By Brad Bodell, SVP and CIO, CNO Financial Group, Inc.
Transformative Impact On The IT Landscape
By Jim Whitehurst, CEO, Red Hat
Get Ready for an IT Renaissance: Brought to You by Big...
By Clark Golestani, EVP and CIO, Merck
Four Initiatives Driving ECM Innovation
By Scott Craig, Vice President of Product Marketing, Lexmark...
Technology to Leverage and Enable
By Dave Kipe, SVP, Global Operations, Scholastic Inc.
By Meerah Rajavel, CIO, Forcepoint
AI is the New UI-AI + UX + DesignOps
By Amit Bahree, Executive, Global Technology and Innovation,...
Evolving Role of the CIO - Enabling Business Execution...
By Greg Tacchetti, CIO, State Auto Insurance
Read Also
