Data Science Engineer- Only Person with Disability

Jobs for Humanity; Hyderabad; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

Saira's Client in Hyderabad seeks a Data Science Engineer to advance data analytics and machine learning across large manufacturing datasets. The role emphasizes strong software development, web tech, and API-driven integration.

Qualifications include expertise in Python/R, Angular/JavaScript, and cloud data engineering, with a focus on statistical modeling and scalable ML solutions. The position is open to diverse abilities and aims to leverage data-driven insights.

Qualifications

• Broad knowledge and experience in software development, UI/UX, and web technologies.

Responsibilities

• Perform data analysis and machine learning on terabytes and petabytes of diverse datasets in automated manufacturing.
• Extract data from various databases via SQL and apply data cleansing and outlier handling.
• Understand Big Data processing, BI, and advanced analytics for business decisions.
• Develop APIs for application integration and cloud-based data engineering/ML models.
• Work with time series data, ML models, and data with changing distributions as needed.

Skills

Software development

UI/UX design

Web technologies

Agile

Data science

Machine learning

SQL

Big data

Business intelligence

Cloud data engineering

APIs

Statistical modeling

Feature extraction

Supervised learning

Unsupervised learning

Semi-supervised learning

Validation

Tools

Angular

AngularJS 2.0

JavaScript

CSS

Python

R

Dotnet/C#

Hadoop

Hive

HDFS

Spark

PySpark

TensorFlow

Job description

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.