
Data Scientist
13 hours ago
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
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