Senior Manager - Data Science
1d ago
source : Shine

Manage a team that designs, develops, troubleshoots and debugs software programs for databases, applications, tools, networks etc.

As a manager of the software engineering division, you will apply your knowledge of software architecture to manage software development tasks associated with developing, debugging or designing software applications, operating systems and databases according to provided design specifications.

Build enhancements within an existing software architecture and suggest improvements to the architecture.

Manages and controls activities in multi-functional areas of sections. Ensures appropriate operational planning is effectively executed to meet Corporate specifications.

Demonstrated leadership and people management skills. Strong communication skills, analytical skills, thorough understanding of product development.

BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience.,

Senior Manager, Data Science

  • Oracle Applications Labs (OAL) runs Oracle software that runs Oracle. OAL is responsible for implementing, running, and improving nearly all of Oracle'
  • s Enterprise On-Premise and Cloud Applications. We use Oracle s business requirements as a "test bed" for innovation. We often are ahead of the standard product road map and build extensions and custom applications to meet the needs of our 120,000-employee, Fortune 100 Company.

    Once proven, our ideas and innovations quickly find their way back into the core product. We also ensure that Oracle is always Oracle s best reference for our enterprise applications and analytics solutions and platforms.

    We are seeking to grow the data science capabilities with brilliant and diverse individuals with exceptional technical ability.

    This is a challenging role that will stretch your knowledge and curiosity, while at the same time is a great opportunity to learn new skills and work within an unusually talented, global community at Oracle

    As a Senior Manager of Data Science, you will be responsible for driving the top-level data science strategy for OAL. You will be the go-to person and provide guidance to enable Machine Leaning, Deep Learning, and AI development and be a hands-on person inventing advanced innovative algorithm.

    You will be defining reference architecture, ML / DL life-cycle, technical platform, and development processes that helps other OAL teams to enable data science capabilities for their application and analytical solutions.

    You will be a team player who is eager to both teach and learn daily, that is proactive and self-motivated and has excellent communication skills.

    Key Responsibilities :

    Hire, lead and coach a team of data scientists in India

    Applies artificial intelligence and machine learning techniques to solve complex questions or fuel new business opportunities at Oracle

    Architect and document data science platforms and development processes

    Work effectively with global teams located in multiple geographical locations

    Actively participate as contributor or leader in a team of peer data scientists, understanding the collaborative and transparent relationships with engineering and product teams and the ways of working of an Agile environment

    Make consistent use of solid verbal, interpersonal and written communication skills to carefully document findings and share results with various stakeholders.

    Qualification :

    An advanced degree in Computer Science, Statistics, Engineering, Mathematics, or another relevant quantitative field

    Minimum 10-12 years of experience in data management, analytics, software development, data mining or data science

    Minimum of 7 years of hands-on experience working in machine learning, with familiarity across a variety of supervised and unsupervised techniques

    Minimum 5 years of manager experience in managing 5 to 10 directs

    Proficiency with several years experience in more than one of Python, R, Java, C++, Scala, and Spark

    Experience with big data processing engines like Spark, Kafka is a plus

    Proficiency in using query languages such as SQL and its adaptations

    Experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies such as Map Reduce, Spark, HBase, and associated schemas

    Working experience in data warehousing, data integration, and visualization is a plus

    Experience with application of Agile and iterative development practices and DevOps processes

    Team player with great communication and presentation skills.

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