Strategic Forecasting Specialist

1 day ago

Bengaluru, Karnataka, India beBeeData Full time US$ 90,000 - US$ 1,20,000

Key to our business success is the ability to effectively anticipate and adapt to changing circumstances. To help drive this strategy, we seek a Data Analyst with expertise in predictive modeling to join our team.

The successful candidate will be responsible for developing accurate and reliable forecasting models that inform key business decisions. This includes deploying data and model pipelines on cloud infrastructure with emphasis on accuracy and speed, as well as reducing MAPE (forecasting accuracy) across different risk functions.

Additionally, the analyst will work to automate training and forecasting by leveraging advanced analytics tools and deep learning techniques. They will also collaborate closely with stakeholders to understand requirements, solve problems, and deliver successfully against high organizational standards.

The ideal candidate will have a strong background in machine learning, statistical modeling, and data analysis, as well as experience working with large datasets and cloud-based technologies.

We are looking for a highly motivated and collaborative individual who can apply their technical skills and knowledge to drive business growth and impact.

Some of the key responsibilities of this role include:

* Development of accurate and reliable workforce forecasting models.

* Automating training and forecasting by deploying data and model pipelines on cloud infrastructure.

* Reducing MAPE (forecasting accuracy) across different risk functions.

* Building project launch impact estimates models using advanced analytics tools and deep learning techniques.

* Collaborating closely with stakeholders to understand requirements, solve problems, and deliver successfully against high organizational standards.

Qualifications Needed:

* 3+ years of data scientist experience, preferably with forecasting systems & operational research.

* 5+ years of machine learning/statistical modeling data analysis tools and techniques experience.

* 5+ years of AWS cloud experience building end-to-end products, deploying, monitoring and updating them using tools such as Amazon SageMaker pipelines and docker containers.

Other qualifications that would be an asset include:

* Experience applying theoretical models in an applied environment.

* Understanding of demand forecasting & impact on operational capacity planning.

**What We Offer:**

A challenging and rewarding career opportunity in a dynamic and innovative organization.

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