Data Scientist
NorthbeamFull Time
Junior (1 to 2 years), Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
The position requires 5-6 years of experience in data science with a focus on time series forecasting.
Key technical skills include proficiency in Python or R, strong knowledge of time series forecasting techniques like ARIMA, SARIMA, ETS, Prophet, or LSTM, experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, and familiarity with SQL, Pandas, NumPy, and cloud environments like AWS, Azure, or GCP.
A Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field is required.
This information is not specified in the job description.
This information is not specified in the job description.
Technology consulting for digital transformation
Brillio helps businesses with their digital transformation by providing technology consulting services. The company focuses on creating customized digital solutions that utilize artificial intelligence and cloud technologies to meet the specific needs of each client. This includes improving operational efficiency and enhancing user experiences through real-time responses and better workflows. Brillio serves a variety of clients, including large Fortune 500 companies, with a strong emphasis on the healthcare sector. Unlike many competitors, Brillio's approach is centered on developing bespoke solutions that give clients a competitive advantage, aiming to help them evolve into 'generative enterprises.' The company's goal is to drive significant improvements in business operations and outcomes through its consulting services and technology implementations.