Data Scientist

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Data Scientist

• Design and implement end-to-end solutions utilizing machine learning and AI to enhance user experience.

• Conduct experiments and continuously iterate on model improvements, considering multiple feature sets and personalization.

• Collaborate with data scientists, engineers, and cross-functional teams to create strategic and tactical improvements, as well as develop end-to-end production-ready solutions.

• Communicate methodologies and results to a community of researchers, developers, analysts, and product managers.

• Ensure quality, performance, scalability, and reliability of solutions.

• Estimate effort, develop research and development plans, and prioritize work according to business needs.

Experience

• 5 years of experience in software development, with a significant focus on data technologies and platforms.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

• Strong skills in mathematical, statistical, and scientific modeling.

• At least 2 years of experience with PySpark, Python, and Spark, both in development and deployment in a production environment.

• Proficiency in PyTorch and familiarity with recent deep learning literature for model and infrastructural optimizations and techniques; applied experience at scale is highly desirable.

Why Join Us?

Be a part of a dynamic and innovative environment where your contributions directly influence business outcomes.

Collaborate with talented professionals and work on cutting-edge technology stacks.

Opportunity to lead impactful projects that solve real-world problems.

If you're ready to take on this exciting challenge and bring your expertise to our team, apply now!