Data Science Developer (L 08)

Job Description

Role Summary/Purpose:Data Science Developer will be part of Data Usage CoE and responsible to manage Enterprise wide open source environments (Anaconda Enterprise and Desktop, and H2O). This role will also work closely with the business teams to support strategic programs and functional requirements. This role is responsible for analytics development, collaboration and deployment for data scientists working in Python and R.Essential Responsibilities:

• Support distributed Data Science applications Anaconda and H2O platform.
• Support end-to-end Platform & Infrastructure request with minimal direction from Functional Managers.
• Knowledge and experience using a variety of data transformation languages to implement and operate data science infrastructure assets (e.g., Spark, Livy, Scala, Anaconda, R, Python, C, C++, Hadoop, Hive, HBase, Pig, MapReduce and other Hadoop eco-system components).
• Maintains and updates existing Anaconda Enterprise and H2O servers, test client applications to determine compatibility with upgrades, and work with internal customers to resolve any issues.
• Servers as primary technical point of contact on Anaconda Enterprise environment engagements of moderate to high complexity including service tickets requiring analysis.
• Participates in capacity planning and performance testing to ensure Anaconda and H2O environments are adequately sized and configured to meet current and projected demand.
• Demonstrated experience developing and managing complex technical projects involving parallel or distributed computing, including Hadoop, the Apache Stack and related technologies.
• Oversee administration guidelines for server upgrades, backups, patching, performance tuning and security and administration of the application.
• Manage the users, groups, licenses and integration with Active Directory, taking care of authorization and permissions.
• Understand and propose improvements to underlying data models and infrastructure.
• Clearly communicate solutions to both technical and non-technical teams.
• Develop a set of best practices and share across user groups.
• Stay ahead of new data science capabilities and deliver internal training as needed to internal functional user groups.
• Perform trend analysis of system logs, audits, management data, etc. to identify performance issues and drive improvements to ensure optimal performance.

Qualifications/Requirements:

• Bachelors Degree and 4 years of IT experience in data management
• Minimum of 2 years of experience with Big Data tools such as Anaconda, H2O, or Hadoop.
• 2 years of experience using Data Lake supporting data science work.
• 1 year of experience with package-management systems
• 1 year of experience with Docker/Kubernetes
• 1 year of experience gathering, and translating end user requirements into end user reports
• For Internal candidates: Understand the criteria or mandatory skills required for the role, before applying.
• Inform your Manager or HRM before applying for any role on Workday.
• Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format)
• Must not be any corrective action plan (First Formal/Final Formal, PIP)
• Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.
• Last annual performance rating should at least be Strong Contributor / Critical talent.

Desired Characteristics:

• Knowledge of Cloud computing infrastructure specifically in the Big Data Space (e.g. Azure
• ADLS, HD Insight, Databricks, AWS EC2, Elastic MapReduce) and awareness of considerations for building scalable, distributed systems.
• Familiarity with Agile approach to development and delivery
• Perform tasks with a high degree of accuracy and attention to detail
• Demonstrate excellent oral and written communication skills
• Ability to be flexible and deal with changing priorities and meet timelines/due dates

Grade/Level: 08Job Family Group:Information Technology,

Keyskills :
ctive directory trend analysis open source performance testing big data user requirements capacity planning corrective action cloud computing performance tuning strategic programs data science data models