About Brillio:
Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Backed by Bain Capital, Brillio is one of the fastest growing digital technology service providers. We help clients harness the transformative potential of the four superpowers of technology - cloud computing, internet of things (IoT), artificial intelligence (AI), and mobility. Born digital in 2014, we apply Customer Experience Solutions, Data Analytics and AI, Digital Infrastructure and Security, and Platform and Product Engineering expertise to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance. With delivery locations across United States, Romania, Canada, Mexico, and India, our growing global workforce of over 6,000 Brillians blends the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients. Brillio was awarded ‘Great Place to Work’ in 2021 and 2022
Business Analyst - DS
Primary Skills
- Classification (Decision Trees, SVM), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Great Expectation, Evidently AI, Hypothesis Testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Probabilistic Graph Models, Python/PySpark, R/ R Studio, Regression (Linear, Logistic), SAS/SPSS, Statistical analysis and computing, Tools(KubeFlow, BentoML), T-Test, Z-Test
- Data Science Advanced: Data Analyst
- Need an MBA Engineer (more of business analyst with data scientist skills) with 8 years of work-ex who can interact with business and communicate the findings and understand the inputs & present. Skills- Python, SQL, ML Understanding business problems, making sense of the data landscape & footprint, performing a combination of exploratory, Machine Learning & Advanced Analytics. - Experience analyzing large datasets is desirable - Distributed computing using #Spark and #Hadoop is desirable - Azure experience is desirable Proven track record of building Statistical and Deep Learning models and implementing them into production. Ability to work on large scale data (structured and unstructured) having applied fundamentals in data management, parallel computing and distributed systems. Ability to work with minimal supervision in a very dynamic and timeline sensitive work environment. Must be able to work across different domains and get a quick sense of the business processes & flows. Ability to translate business problems into the data realm and identify pertinent and meaningful solutions. Exceptional communication skills, both verbal and written, with a strong urge to learn, iterate and innovate. Passionate about applying emerging DL frameworks to solve business problems and like working in an extremely dynamic, fast paced environment. Extracting actionable insights and helping put together an execution roadmap. Must be able to contribute to the development of our proprietary analytics product, a repository of solutions and leverage analytics for better consumption of data.
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