Data Scientist

Mandatory / Must have

Skills:

Machine,Learning,,Python&SQL,AWS(SageMaker,

Docker)with,an,OperationsResearchBackground

(specifically logistics)

#No of Positions: Multiple & Ongoing

Minimum,Experience 3+ Yrs 5+ Yrs

Work Location: Bangalore, Customer location,

Work Location: Bangalore

WORK TYPE: Work from Office – Customer Location all 5 days

Job description: Forecasting & Planning Research team

We seek Data Scientists to join the Forecasting & Planning Research team. The

data scientists will be responsible for modelling 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 the production environment and automate

with appropriate drift monitoring and model improvement processes. 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.

AUSTRALIA | USA | INDIA | MIDDLE EAST

IT | HR | DIGITAL | TRAINING

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

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,

deploying, monitoring and updating them using tools such as Amazon

SageMaker pipelines and docker containers.

● Experience applying theoretical models in an applied environment

AUSTRALIA | USA | INDIA | MIDDLE EAST

IT | HR | DIGITAL | TRAINING

● Understanding of demand forecasting & impact on operational capacity

planning

● Knowledge of time series models and deep learning for time series are an

asset.

Looking for multiple profiles with matching experience and knowledge