Data Scientist

Brillio LLC is a fast growing, pure play Digital Transformation Solutions and Services firm. Founded in 2014 and headquartered in Silicon Valley, Brillio is focused on delivering design led solutions for our customers. We are not an IT Services company trying to pivot and support the “next big thing.” As a digitally native company, everything we have done and will continue to do, will have this laser focus.

Our culture is driven by Brillio’s Core Values and it is the foundation of who we are as an organization. We equip and empower our employees to push boundaries with an ‘Entrepreneurial’ spirit as they craft ‘Customer Success’ stories. With our customer-centric approach, we deliver ‘Excellence’ at every level of our collaboration and this is what fuels Brillio’s growth story. While we are proud of our journey so far, ‘We Care’ about our customers, employees and the community where we thrive in. We strive to stay committed to lighting up 100,000 young minds through our CSR efforts.

Role: Data Scientist

Years of Experience: 13+ years

Travel Required: No

Location: Basking Ridge NJ (2-3 Days Hybrid)

As the Data Scientist / ML engineer, you are expected to engineer, develop and deliver ML models using real time network data to enable decision making and drive insights.

Key responsibilities will be -

Experience in designing, developing, optimizing, and troubleshooting ML model applications in Kubernetes environment with Spark, Java, and Python environment with databases like Apache Druid, Oracle, Cassandra and/or Kafka as the backend

Collaborate with team to drive the technical roadmap and guide development and implementation of new data driven business solution

Collaborate with data engineers and solution architects to overcome roadblocks, challenges in building the models.

Skills:

Bachelor's or advanced degree in computer science, applied math, statistics or other relevant quantitative discipline, or equivalent industry experience

14 or more years of relevant work experience with 6 or more years as a data scientist, analyst, or statistical modeler.

2 years of experience in developing and deploying products using Docker, Kubernetes, and the containerization technology stack

3 years of experience in development of advanced machine learning and deep learning models such as RNN, LSTM, and specifically Graph Neural Networks(GNN)

3 years of experience in modern data mining and data science techniques (e.g., regressions, decision trees, ensemble algorithms, neural networks, time series analytics, clustering, anomaly detection, text analytics, etc.)

Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, etc.

Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and MapReduce

Experience in using NLP, BI, Graph Databases like Neo4j/OrientDB/Neptune

Programming in Python and R using distributed frameworks like PySpark, Spark, SparkR

Candidate with background in telecom preferred, is a plus

Why should you apply for this role?

As Brillio continues to gain momentum as a trusted partner for our clients in their digital transformation journey, we strive to set new benchmarks for speed and value creation. The Advisory and Value Assurance (AVA) team at Brillio is at the forefront of leading this charge by reimagining and executing how we structure, sell and deliver our services to better serve our clients.

Know what it’s like to work and grow at Brillio:

Equal Employment Opportunity Declaration

Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.