CUMTA
Junior Data Scientist Recruitment 2023 | CUMTA Junior Data Scientist Job
Notification 2023 | CUMTA Junior Data Scientist 2023 Application Form PDF
Download @ https://cumta.tn.gov.in/– CUMTA invites applications for recruitment
of 03 Junior Data Scientist, Senior Data Integration Engineer, Social Expert Posts.
The applicants are requested to Download Application Form through Official
Website @ https://cumta.tn.gov.in/. The last date for the receipt of
application along with enclosures is 10.08.2023.
CUMTA Recruitment 2023 [Quick Summary]
|
Organization Name: |
Chennai Unified Metropolitan Transport Authority |
|
Job Category: |
Tamilnadu Govt Jobs |
|
Employment Type: |
Contract Basis |
|
Duration: |
Appointment to the post will be on contract basis initially for a period
of two year and likely to be extended based on the performance. |
|
Total No of Vacancies: |
03 Junior Data Scientist, Senior Data Integration
Engineer, Social Expert Posts |
|
Place of Posting: |
Chennai |
|
Starting Date: |
27.07.2023 |
|
Last Date: |
10.08.2023 |
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Apply Mode: |
Offline |
|
Official Website |
https://cumta.tn.gov.in/ |
Latest
CUMTA Junior Data Scientist Vacancy Details:
CUMTA
Invites Applications for the Following Posts
|
SI No |
Name of Posts |
No. of Posts |
|
1. |
Junior Data Scientist |
01 |
|
2. |
Senior Data Integration Engineer |
01 |
|
3. |
Social Expert |
01 |
|
|
Total |
03 |
CUMTA Junior Data Scientist Eligibility Criteria:
Educational
Qualification:
|
1. Junior
Data Scientist - • Bachelor's degree in Computer Science, Information technology,
Mathematics, Statistics, Data science, ML/AI or a related field is required.
A master's degree in a relevant field is preferred but not mandatory.
Certification courses in BigData/Cloud platforms/Data Science/ML/GIS will be
an added advantage. • Minimum 3 years of experience in statistics, data science, data
integration, and analysis, preferably in a large-scale, complex environment
preferably in transport sector. • In-depth working, beyond coursework, familiarity with statistical
techniques and current ML techniques, both supervised and unsupervised
learning techniques and other ML Techniques. • Experience in working on modelling spatiotemporal systems such as
GIS, urban dataset, satellite images, etc. • Implementation experiences and deep knowledge of Classification, Time
Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning,
Dynamic Programming and Optimization. • Experience in developing and deploying on one or more Cloud
Environments (GCP/Azure/ AWS). Familiarity with Flask / Django Framework. • Experience on end-to-end ML models deployment in production (MLOps)
in cloud or on-prem. • Knowledge of ETL tools, data cleaning and preprocessing pipeline, ML
training and ML model tracking frameworks such as Kubeflow, MLFlow, etc. •
Familiarity with well-known Python packages like Pandas, Numpy, etc., and DL
frameworks Keras, TensorFlow, PyTorch. And knowledge of Big Data tools and
environment. • Proficiency in SQL, database technologies such as MySQL/No SQL is an
added advantage. • Fundamental knowledge of distributed data processing such as Spark
and streaming platforms such as Kafka. • Programming skills in Python is a mandatory. Good critical and
algorithmic thinking, verbal and written communication skills. |
|
2. Senior
Data Integration Engineer - • Postgraduate in Computer Science, Information Technology, Big Data,
Data Science, Analytics, Information Systems or a related field is required.
Certification courses in Big-Data/Cloud platform/Data Science/ML will be an
added advantage. • Minimum 5 years of experience in data management, integration, and
analysis, preferably in a large-scale, complex environment preferably in
transport sector. • Strong understanding of data governance, data management principles,
data security, data privacy regulations, cybersecurity tools is mandatory. • Experience with data integration tools and technologies, including
ETL tools, data warehouses, APIs, and cloud-based services is mandatory. • Should have extensive experience in managing and integrating
large-scale datasets from diverse sources in the transportation sector. • Should have good understanding of Event Driven Architecture
implementations. • Should have architected integration solutions for cloud, hybrid, and
onpremises integration landscapes. • Experience in developing and optimizing large scale data pipelines in
multi cloud environment and in on-prem environment. • Advises project team during system development to assure compliance
with architectural principles, guidelines, and standards. • Understand Configuration and Management, Platform Monitoring,
Performance Optimization Suggestions, Platform Extension, User Permissions
Control Skills. • Should have hands on experience in configuring AS2, https, SFTP,
SOAP, DB involving different authentication methods. • Analyze and prototype Data Source Connections (Data Integration)
ODBJ, JDBC, XML, WS. • Experience with relational SQL and NoSQL databases, including SQL,
TSDB, Postgres and Cassandra, etc. • Should have strong proficiency in writing/reviewing SQL scripts and
optimization of queries/sub-queries. • Hands-on Experience with object-oriented/object function scripting
languages: Java, SQL, Scala, Spark-SQL, Pyspark and other related languages.
• Hands on experience with Hadoop and Bigdata tech. e.g. HIVE, HBase, Kafka,
Spark and other related technologies. • Working knowledge of message queuing, stream processing and highly
scalable 'big data' data stores. • Nice to have experience with data pipeline and workflow management
tools: Azkaban, Luigi, Airflow, etc. • Demonstrated experience with GIS tools and FME or similar spatial ETL
tools. Developing knowledge of GIS portals and applications is desirable. • Experience in working on modelling spatiotemporal systems such as
GIS, urban dataset, satellite images, and other sources is desirable. • Should have experience in developing large scale real-time platforms
that are functioned with data collection, analysis and visualization,
workflow integration and closed loop systems. • Strong project management and team leadership skills. Should be able
to explain complex data integration concepts to non-technical stakeholders • Excellent communication and interpersonal skills, with the ability to
collaborate effectively with internal and external stakeholders. • Knowledge of emerging technologies related to data integration, such
as AI, machine learning, and blockchain, would be an advantage. • Certifications in data management, integration, and analytics, such
as Certified Data Management Professional (CDMP), Microsoft Certified: Azure
Data Engineer Associate, or IBM Certified Data Architect is an added
advantage. |
|
3. Social
Expert - a. Post-graduate in Social-work or Sociology or Social sciences, Public
Policy or Economics or relevant field. b. Minimum 10 years of experience in social development sector or
social policy & analysis or social safeguard’s function or equivalent of
any public / private sector entity. c. Minimum 3 years of experience in any multi-lateral agency funded
projects or similar national level repute projects are desirable. d. Should be familiar with the working of State Government/Central
Government/Projects funded by multi-lateral Agencies and preferably, work
experience with a wide range of stakeholders including NGOs and international
organizations. e. Strong understanding and past experience of implementing World Bank
and other multilateral funding agency’s Social Safeguard policies and ESHS
guidelines. f. Research publications and Certifications in areas such as community
development, social impact assessment, social policy analysis or equivalent
will be an added advantage. g. Support in planning and conducting surveys, audits and outreach
programs. h. Good understanding of legal and policy requirements related to human
rights, resource access, land rights, forest rights and preservation etc. i. Ability to present project information in a clear and concise manner
(reports/ presentations), with good reading, writing and speaking skills in
English and in Tamil. |
Salary Details:
|
1. Junior
Data Scientist - Upto Rs.80,000 per
month |
|
2. Senior
Data Integration Engineer - Upto Rs.2,00,000 per
month |
|
3. Social
Expert - Rs. 90,000 – INR 1,50,000 per month. |
CUMTA Junior Data Scientist Selection Process 2023:
CUMTA may follow the
following process to select the candidates.
|
1. Short
Listing |
|
2. Interview
|
How to apply
for CUMTA Junior Data Scientist Post:
Interested candidates may apply
with the detailed resume, portfolio, expected salary and pay-slip for the last
3 months on or before 10-August-2023 by e-mail to cumtaoffice@tn.gov.in.
Important Dates
for CUMTA Junior Data Scientist Post:
|
Starting
Date for Submission of Application |
27.07.2023 |
|
Last date
for Submission of Application |
10.08.2023 |
CUMTA Junior
Data Scientist Official Notification & Application Link:
|
CUMTA Official Website
Career Page |
|
|
CUMTA Official
Notification PDF |