07 Jan
Cubic Transportation Systems India Pvt Ltd
Secunderabad
Job Description
Works closely with the data science team to build information-rich data products using innovative techniques and technologies to solve transportation related challenges and problems. Understands and leverages data mining, machine learning, data modeling, and statistical modeling techniques. Applies strong problem solving and analytic skills to data integration projects and is able to isolate non-obvious relationships between disparate data sources. This position typically works under general supervision and direction. Incumbents of this position will regularly exercise discretionary and substantial decision-making authority.
Essential Job Duties and Responsibilities:
Design, develop and program methods,
processes, and systems to consolidate and analyze data from diverse sources
Generate actionable insights and solutions from data for client services and product enhancements
Define data models and develop transformation pipelines using python and scala
Develop and automate processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
Build tools to automate data ingestion into a cloud platform environment
Scraping, data ingestion and data integration from multiple sources and databases, including web APIs, Protobuf feeds, SQL databases
Create, test, maintain, and update predictive models to predict asset failures and recommend maintenance cycles
Use inferential techniques to develop models of passenger behavior
Prepare and deliver presentations that effectively describe complex quantitative methods in clear and concise communications
Feature extraction and generation
Keep up to date with technical as well as industry developments, analytics software/tools, trends, and recognized best practices
Contribute to projects under the direction of project and product owners to adhere to funding, resourcing, schedule, and other constraints
Technologies We Use:
Azure Cloud Data Factory
Synapse Analytics
Databricks
Analysis Services
Azure Functions
Azure DevOps
PowerBI
Oracle
Kafka
Angular
JIRA/Confluence
Education:
Masters degree in computer science, statistics, mathematics, or related field
Experience:
6 years of hands-on data science experience
Advanced python and SQL knowledge
Knowledge of database management systems and other software tools used to manage an organizations business activities
Knowledge and experience developing algorithms and analytics applications
Familiar with cloud computing, Azure and/or AWS, PaaS, IaaS
Strong analytical and problem solving skills, attention to detail, critical thinking ability, and creativity
Must be able to abstract from ambiguous and sometimes conflicting information to identify opportunities for improvement and the critical business drivers and factors that influence outcomes
Must have demonstrated ability to produce high quality analytics applications that can be deployed in a repeatable and scalable fashion
Requires strong knowledge of statistics, signal processing, machine learning, predictive analytics, and other related techniques
Must have excellent written and verbal communication skills used to effectively communicate and present complex information in terms appropriate to the audience
Incumbent will have well-developed research skills and knowledge of current data management principles, procedures, and other tools of the trade
Must be able to manage and prioritize multiple projects simultaneously while balancing according to scope, budget and schedule
Prior experience working in defense, transportation or logistics industries desired.
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