Kanz
Data Science Engineer- Only Person with Disability
Skills
1 year ago
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Important information
Contract type:
Permanent
Location:
Hyderabad, Telangana, India
Work mode:
Onsite
Published on:
27 August 2026
What they need
Saira's Client
Open Requirement for Person with Disabled Role- Data Science Engineer
Location- Hyderabad
Disability Type- Any type of disability
Responsibilities And Duties Include, But Not Limited To
Broad knowledge and experience in:
Strong software development skills.
Strong UI/UX design skills
Strong knowledge in Web Technologies
Experience with various frameworks and processes, such as Agile
Strong desire to grow career as Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
Understanding of Big Data Engineering/processing, Business Intelligence and Advanced analytics
Knowledge in Cloud based data engineering and Machine Learning Model
Knowledge in building APIs for application integration.
Knowledge in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning.
Data Analysis and Validation skills
Above average skills in:
Expertise in Angular, Javascript and CSS
Programming Fluency in Python and/or R
Knowledge in Data Science, Machine learning and other advanced analytical methods
Knowledge in javascript, AngularJS 2.0, is MUST.
Knowledge in Dotnet and C# is added advantage.
Optional : Knowledge in Hadoop stack (Hive, HDFS, HBase and Spark)
Optional: Understanding of pySpark and/or SparkR and/or SparklyR
Optional: Knowledge in Tensorflow, and/or other statistical software including scripting capability for automating analyses
Optional: Experience working with time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
Experience working with Manufacturing Execution Systems (MES) is a plus
Demonstrated ability to:
Work in a dynamic, fast-paced, work environment
Self-motivated with the ability to work under minimal direction
To adapt to new technologies and learn quickly
A passion for data and information with strong analytical, problem solving, and organizational skills
Work in multi-functional groups, with diverse interests and requirements, to a common objective
Communicate very well with distributed teams (written, verbal and presentation)
All your information will be kept confidential according to EEO guidelines.
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