Job Description

　　Position: Senior Member of Technical Staff (Data Scientist)

　　Location: Hyderabad or Bengaluru or Noida, India

　　At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer focus of the leading enterprise software company in the world. Values are OCI’s foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you’ll belong and be encouraged.

　　Within OCI, Enterprise Platforms & Services team's one of the goals is to improve employee experience and employee productivity through seamless employee services by enabling advanced data analytics, AI/ML-based capabilities like conversational AI, self-serve tooling, etc.

　　We are seeking a seasoned data scientist who will be responsible for distilling user data insights for ML science applications and influence business decision with data-driven approach to improve customer experience, and team productivity. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. You will be joining our Data Science Service team who is responsible for building AI Ops capabilities to improve operational efficiency and effectiveness of enterprise engineering cloud services - thereby improve customer experience and service resiliency. So you will have an opportunity to design, implement systems end to end by helping select the right technologies, and envisioning a long-term architecture is part of the role. Finally, we always look for enthusiastic, passionate individuals with a willingness to learn new technologies.

　　Responsibilities

　　Responsibilities:

　　Translate business needs into advanced analytics and machine learning models and provide strong algorithm and coding execution and delivery of Machine Learning & Artificial Intelligence.

　　Develop analysis, modeling, and optimization methods to improve the embedded AI capabilities.

　　Solve difficult, non-routine problems on sparse incomplete data sets or large data sets applying advanced ML methods as needed.

　　Lead / Nurture a Data Science Project along its lifecycle from inception, data gathering and requirements specification, value analysis, feasibility checks, implementation, testing, deployment and monitoring.

　　Implement data science pipelines and applications in a general programming language such as Python, Scala, or Java, or Spark

　　Communicate effectively to multiple stakeholders on value and insights from data

　　Make Recommendations and influence the Data Science roadmap for our platforms & services to constantly improve Customer experience.

　　Mentor other Data Scientists, and help them to develop their projects related to experimentation and evaluation.

　　Craft a measurement strategy to evaluate the performance of complex systems against challenging requirements

　　Develop robust methods for model monitoring in production and learning from feedback .

　　Key Qualifications:

　　Sound foundations in Computer Science, Probability and Statistics

　　6 to 8+ years of industry experience and 4+ years of experience in predictive modelling, data science and analysis

　　Experience with Python, R, Scala, SQL and one of the advanced Deep Learning, RL or AI libs l

　　Experience in Machine Learning, Natural Language Understanding, Data and feature Engineering, data ETL and Machine learning pipelines and ML deployment.

　　Practical expertise and in-depth knowledge of machine learning algorithms for classification, regression, clustering, reinforcement learning and algorithmic foundations of optimization and data mining.

　　Programming experience in Python, R or C / C++.

　　Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark

　　Excellent problem solving, critical thinking, analytical and interpersonal skills

　　Strong communication skills, and the ability to explain difficult technical topics to multiple stakeholders from data scientists, engineers to business partners and leaders.

　　Self-starter with strong leadership abilities.

　　Ability to work with incomplete requirements and handle multiple projects with deadlines

　　About Us

　　An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry.

　　In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation.

　　Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business.

　　At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions.

　　That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before.

　　Oracle is an Equal Employment Opportunity Employer * . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

　　* Which includes being a United States Affirmative Action Employer