Office-Based Data Scientist Required
Budget: ₹150,000 – ₹250,000 INR
I'm looking for a seasoned Data Scientist with hands-on experience to join our office-based team.
Data Scientists Responsibilities:
* 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 production environment 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.
* 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.
Key Deliverables/Outcomes
* 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.
Qualifications 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.
Data Scientists Responsibilities:
* 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 production environment 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.
* 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.
Key Deliverables/Outcomes
* 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.
Qualifications 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.