There are three important considerations as you’re researching a career as a Data Scientist, they are:

1. What is the role?
2. What is the career path?
3. Is it lucrative?

Let’s explore these three questions and discover if this is a career roadmap that is right for you.

What is the Role of a Data Scientist?

Data Scientists turn clean, raw data into actionable insights. They accomplish this by applying statistics, machine learning and analytic approaches to solve critical business problems.

Data Scientists contribute to data mining architectures, modeling standards, reporting and data analysis methodologies. Their ability to collaborate with stakeholders to integrate big data results into existing business systems and scenarios is a critical component of their role.

What is the Career Path of a Data Scientist?

Data Scientist often start out as a Junior-level Data Scientist, then they move up the organizational chart, to either a Senior Data Scientist or a Chief Data Scientist.

To become a Data Scientist you need strong verbal and written communications skills, and the ability to explain complex technical concepts to non-technical leaders. As a Data Scientist, you collaborate with stakeholders and make recommendations on how to use the data to better serve the organizational goals and solve problems.

Is it Lucrative Being a Data Scientist?

According to Glassdoor’s 2018 Best Jobs in America report, the median base salary of a Data Scientist is $110,000.

Considering the organizational structure of where a Data Scientist is placed, it can be a very lucrative career because they are typically mid-level management.  Data Scientist can be promoted to Senior-level Data Scientists and Chief Data Scientists.

Data Scientists are hired by organizations that work with Big Data, typically in large, enterprise organizations, as well as research and governmental institutions.

Moving Forward

Data Scientist careers are in high demand, the best way to find the right Data Scientist position that fits your career level, industry and work/life preferences is to work with the professional recruiters at Open Systems.

At Open Systems, we know how to leverage your experience and skills and can quickly find the best Data Scientist job opportunity that works for you. Contact us today to learn more.

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Data Trends to Watch for in 2018

Data Trend # 1: It’s all About Privacy and Data Management

With recent news headlines regarding the misuse and management of data by Facebook and Cambridge Analytica, data privacy has become a considerable concern. Additionally, GDPR (General Data Protection Regulation) goes into effect on May 25, 2018. The GDPR requires most companies with personal data of persons in the EU to have data privacy officers (DPO.) These DPOs are responsible for the oversight and protection of PII (personally identifiable information) and will become more prevalent as other countries strengthen their privacy regulations.

Data Trend # 2: Using Unstructured Data

Up until recently, unstructured data got lost. This was in large part due to this information being too vast and complicated to process. However, with new tools such as Hadoop Appliance, businesses now have the necessary capabilities to process this unstructured, once lost, data.

Data Trend #3: New Corporate Roles Being Created

The data trend is driving the creation of new corporate positions, such as a Chief Data Officer (CDO) and a Data Curator.

The CDO is a newer C-level role. CDO’s are in charge of creating an organization’s digital strategy. It’s the CDO’s job to oversee the policies and utilization of data within their organizations.

The Data Curator reviews how organizations are using data and what type of analysis is being conducted. Their role is to prevent multiple, similar projects with the same data occurring over several business segments in the same organization.

Data Trend # 4: Data Goes Mobile

Data is everywhere, even on the go. Furthermore, new mobile apps, especially for data practice areas such as Business Intelligence, have grown significantly over the last year. Companies who use mobile data apps get their information in a more timely, organized fashion. Thus, they can harness data and drive results within their organizations more quickly.

Moving Forward

Data is becoming a significant business driver. The ways companies are collecting and using data are changing rapidly. When the time comes to re-think the way your organization uses data or to hire professionals skilled in the art of data, consult the experts at Open Systems. At Open Systems, we have the connections and talent to deliver our clients candidates who can help harness their organization’s data and drive results.

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