This position is responsible for leading a few projects in data analytics to provide significant value and leadership to the project(s). Also responsible for leading a small team of Data Scientists and provide them direction to drive project(s) to successful conclusion. The position involves customer communication on multiple projects at a time.
Business Unit details:
CA Unified Infrastructure Management (CA UIM) equips enterprise IT organizations and service providers with capabilities for dramatically improving service quality and reducing the costs of IT service delivery. With the solution's unified visibility, your organization can more proactively optimize service levels by preempting issues and minimizing outage duration. The solution helps you optimize operational efficiency- eliminating the complexity, cost and hassle of having to use and integrate multiple, disparate point monitoring tools. By streamlining monitoring administration, CA UIM helps teams better respond to expanding and evolving demands, support more agile development approaches and get new applications to market faster.
https://www.ca.com/us/products/ca-unified-infrastructure-management.html
How You'll Stand Out :
- The perfect candidate for this role will have a demonstrated record of success in positions of increasing responsibility over the course of their career. She/he will have an outstanding track record and reputation for leadership, software development and innovation.
An ideal background will include :
- Typically 7 or more years of experience executing on projects as a lead and 10 or more years of analytic computing experience.
- In depth knowledge of data science principles and practices
- Strong experience leading projects, managing multiple tasks simultaneously and efficiently
- Experience with various operating systems (Windows, Linux, Solaris) and database platforms (MS-SQL, MySQL, Oracle)
- Strong experience working within a Scrum team/Agile environment
- Experience in coaching and mentoring
- Knowledge and hands-on experience with fundamental concepts, practices and procedures of Computer Science and Software Engineering
About this role :
- In this role, you'll help support CA Technologies' charter to transform the IT industry by:
- Keeping a pulse on data analytics trends to figure out how CA can tap into these trends to execute on multiple projects
- Understanding CA's business constraints to ensure that data analytics strategy proposed in the projects fit with the overall direction of the products and is executable.
- Communicating with scientists as well as engineers.
- Helping interpret project results to sales / product management as well as customers.
- Bringing about significant innovation and solving complex problems in projects based on analytics
- Performing unit/module testing of software to find errors and confirm programs meet specifications.
- Fixing bugs, adding enhancements, and converting software to other platforms.
- Assisting quality assurance team by providing assistance to testers and support personnel as needed to determine system problems.
- Collaborating with quality assurance in creation of their test plans and participating in reviews.
- Evaluating impact of software performance, and recommending changes to software design team.
- Writing and maintaining documentation to describe program development, logic, coding, testing, changes, and corrections.
- Providing product content to technical writers.
- Assisting in strategic research and design as directed.
- Setting up software configuration control and software development environments including program source control to ensure reliable backups and source code integrity.
- Providing input to establish and improve departmental processes and procedures.
- Developing plans outlining steps and time tables for developing programs and communicate plans and status to management and other development team members.
- May have indirect reports and manage a small project team.
- Escalating issues to management as appropriate.
- Mentoring, training, developing and serving as knowledge resource for less experienced Software Engineers and Data professionals.
Work Experience:
- Not less than 8 years of experience in IT and minimum 3 years of experience as a Data scientist is required
Technical Experience:
- Minimum 2+ years of experience in Artificial intelligence,Data Science,Machine learning,Java,Weka,Python, R, MLLIB,SCIKIT
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