Data Scientist (Forecasting)

Anicaa Data

Data Scientist (Forecasting)

wrackle

Company

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Data Scientist (Forecasting)

at Anicaa Data

Agency job

via wrackle

3 - 6 yrs

₹10L - ₹25L / yr

Bengaluru (Bangalore)

Skills

TensorFlow

PyTorch

Machine Learning (ML)

Data Science

data scientist

Forecasting

C++

Python

Artificial Neural Network (ANN)

moving average

ARIMA

Big Data

Data Analytics

Amazon Web Services (AWS)

azure

Google Cloud Platform (GCP)

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

Job Title – Data Scientist (Forecasting)

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

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