Data Scientist (Forecasting)

Job Title – Data Scientist (Forecasting)

Anicca Data is seeking a Data Scientist (Forecasting) who is motivated to apply his/her/their skill set to solve complex and challenging problems. The focus of the role will center around applying deep learning models to real-world applications.  The candidate should have experience in training, testing deep learning architectures.  This candidate is expected to work on existing codebases or write an optimized codebase at Anicca Data. The ideal addition to our team is self-motivated, highly organized, and a team player who thrives in a fast-paced environment with the ability to learn quickly and work independently.

Job Location: Remote (for time being) and Bangalore, India (post-COVID crisis)

Required Skills:

At least 3+ years of experience in a Data Scientist role

Bachelor's/Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or similar quantitative discipline. D. will add merit to the application process

Experience with large data sets, big data, and analytics

Exposure to statistical modeling, forecasting, and machine learning. Deep theoretical and practical knowledge of deep learning, machine learning, statistics, probability, time series forecasting

Training Machine Learning (ML) algorithms in areas of forecasting and prediction

Experience in developing and deploying machine learning solutions in a cloud environment (AWS, Azure, Google Cloud) for production systems

Research and enhance existing in-house, open-source models, integrate innovative techniques, or create new algorithms to solve complex business problems

Experience in translating business needs into problem statements, prototypes, and minimum viable products

Experience managing complex projects including scoping, requirements gathering, resource estimations, sprint planning, and management of internal and external communication and resources

Write C++ and Python code along with TensorFlow, PyTorch to build and enhance the platform that is used for training ML models

Preferred Experience

Worked on forecasting projects – both classical and ML models

Experience with training time series forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with Neural Networks (NN) models as Feed-forward NN and Nonlinear Autoregressive

Strong background in forecasting accuracy drivers

Experience in Advanced Analytics techniques such as regression, classification, and clustering

Ability to explain complex topics in simple terms, ability to explain use cases and tell stories