Job Description

About Oracle CrowdTwist

Oracle CrowdTwist provides the most comprehensive omni-channel loyalty & analytics SaaS platform for industry leading brands. We have grown to a respected platform with hundreds of millions of users and billions of interactions. We are looking to write the next chapter in user growth and scale. We power the loyalty offerings for many of the world’s top brands such as Lego, Disney, Marvel Comics, Lenovo, etc. We're relaxed, expert, hard driving, changing our industry and looking for inquisitive people like yourself to help solve tough technical challenges.

About the Opportunity

We are seeking a talented Principal Data Scientist for our growing team based in Bengaluru, India. Our cloud-first SaaS platform leverages Oracle Cloud Infrastructure (OCI) to enable advanced analytics and machine learning. This is a highly MLOps-focused role requiring strong development skills to build and maintain data pipelines and models. As an IC, the Principal Data Scientist will execute technically on MLOps implementations but also provide technical leadership on MLOps standard processes to other associates on the team. You will develop and maintain critical data pipelines for ETL and feature engineering to support models operationalized in our cloud environment. Though not a formal people manager role, you will contribute to optimizing MLOps workflows, modeling, and code across the team with your deep hands-on experience.

Working in the cloud, you’ll leverage scalable, cloud-based analytics and data infrastructure. Quality, reproducibility, and model operationalization are very important. We're seeking a data science technical leader passionate about demonstrating the cloud to solve problems and deliver impactful analytics.

Career Level - IC4

Responsibilities

Responsibilities :

Collaborate with stakeholders and data teams to identify business challenges amenable to machine learning solutions.

Perform exploratory data analysis to uncover insights and transform business questions into concrete modeling tasks.

Develop, optimize, and enhance machine learning algorithms and neural network architectures for natural language processing, computer vision, forecasting, and other domains.

Build reliable end-to-end ML pipelines for data processing, model training, evaluation, and deployment.

Continuously monitor, retrain, and update models to maintain predictive accuracy.

Operationalize and serve models at scale using containers, orchestration, and cloud infrastructure.

Follow software engineering best practices around testing, documentation, modularity, and code quality.

About You:

Have a B.Tech/M.Tech or equivalent in Computer Science, Statistics, Mathematics, or related quantitative field or equivalent experience

Have 8+ years of professional experience developing and deploying machine learning models and pipelines at scale

Self-starter who can take initiative, drive consensus, and mentor junior team members

Strong software engineering skills and experience developing in languages like Python, R, and Scala

Experience with statistical and machine learning theory, algorithms, and frameworks like SciKit-Learn, PyTorch, TensorFlow

Ability to learn new data science and ML concepts quickly in a fast-paced environment

Understand model validation, testing, monitoring, and overall ML quality

Have strong SQL skills and experience with large-scale databases and data warehouses

Experience operationalizing models into production with tools like Docker, Kubernetes

Experience with big data platforms like Spark, Hadoop, Hive, etc

Experience developing scalable systems processing large amounts of data in a SaaS environment

Knowledge of version control with Git and collaboration tools

Bonus Points:

• Experience with distributed computing and large-scale data processing tools like Spark, Dask, Ray

• Experience applying advanced machine learning techniques like deep learning, reinforcement learning

• Experience developing and optimizing SQL queries on large databases and data warehouses

• Knowledge of data governance, metadata management, and data quality best practices

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.

Disclaimer:

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