Value Quantification : Pre-Model Development, Model Provisioning: Kubernetes, Kibana, Model Monitoring, Cloud Computing, Python/PySpark, SAS/SPSS, Great Expectation, Evidently AI, Deployment Strategies (A/B, Blue green, Canary), Model testing, Tools(KubeFlow, BentoML), Integration testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Value Quantification: Post-Model Deployment, Model Experimentation, R/ R Studio
Job requirements
Brillio LLC is a fast growing, pure play Digital Transformation Solutions and Services firm backed by Bain Capital private equity. 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 ‘Founder’s Mindset’ spirit as they craft ‘Customer Success’ stories. With our customer-centric approach, we deliver ‘Excellence and Innovation’ at every level of our collaboration and this is what fuels Brillio’s growth story. While we are proud of our journey so far, ‘ Care and Compassion’ 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.
Job Role- Data Science Consultant
Location- Remote
· The Data Science Consultant bridges the gap between data science and business needs, translating complex data insights into actionable strategies. This role requires strong analytical problem-solving, business engagement, and communication skills to drive decision-making.
Qualifications:
· Bachelor's Degree in Data Science, Business Analytics, Economics, or related field.
· Preferred: MBA or Master’s Degree in Data Science, Analytics, or a quantitative discipline.
Experience required:
Overall 6 years experience as Data Scientist.
Experience with Timeseries Anomaly Detection/Jenkins/GitHub -CI CD Pipeline
ML OPs
Experience around time series and anomaly detection.
