Data Scientist

1 week ago

Bengaluru, Karnataka, India Codehive Labs Hyderabad Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Role & responsibilities

We seek Data Scientist to join the Forecasting & Planning Research team. The data scientists will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. They are also responsible for moving the models to productionenvironment and automate with appropriate drift monitoring and model improvement process. They will need to collaborate effectively with internal stakeholders and cross-functional teams to understand requirements, solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidates should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidates should be an effective communicator capable of independently driving issues to resolution, communicating insights to non-technical audiences and documenting the artifacts. This is a high impact role with goals that directly impacts the bottom line of the business.

Preferred candidate profile

Key Deliverables:

• Development of accurate and reliable workforce forecasting models.

• Automate training and forecasting by deploying data and model pipelines on AWS cloud infrastructure with drift monitoring with emphasis on accuracy and speed

• Building Project launch impact estimates model using tools such as of analytics, time series, probability and deep learning.

• Reduce MAPE (forecasting accuracy) across different risk functions.

• Automate data ingestion for Project inputs from Excel to forecasting models

• Improved data quality through rigorous cleaning and transformation processes and automating them.

• Clear documentation of the code and artifacts.

• Actionable insights derived from data analysis to support strategic decisions.

• Experiment with latest forecasting algorithms & processes to optimize existing modeling infrastructure.

Qualification Needed:

• 5+ years of data scientist experience, preferably with Forecasting systems & Operational Research

• 3+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python) experience

• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

• 3+ years of AWS cloud experience building end-to-end products deploy, monitor and update them using tools such as Amazon SageMaker pipelines and docker containers.

• Experience applying theoretical models in an applied environment

• Understanding of demand forecasting & impact on operational capacity planning

• Knowledge of time series models and deep learning for time series are an asset.

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