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dataroles

Data Science Engineer- Only Person with Disability

Jobs for Humanity Open · verified Oct 24, 2026
On-site Hyderabad Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Jobs for Humanity. Hyderabad · full-time.

Pay not stated Data Science salary

RoleData Science
SeniorityMid-level
LocationHyderabad
WorkplaceOn-site
EmploymentFull-time
PostedMar 18, 2025 · 1y ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Use SQL and other query languages to pull data, then clean it and check for outliers or missing values
  • Analyze large, varied datasets and apply statistical methods and machine learning approaches
  • Build APIs that connect applications and work with cloud-based data engineering and machine learning models
  • Use Angular, JavaScript and CSS to develop software, drawing on your UI/UX and web technology skills

What you bring

  • You have strong JavaScript and AngularJS 2.0 knowledge, which the role requires
  • You bring software development skills and fluency in Python or R
  • You understand data science, machine learning, statistical modeling and advanced analytics
  • You can analyze and validate data, communicate clearly, and work with limited direction

Who this fits

This role is for a person with any type of disability and is based onsite in Hyderabad. It suits someone seeking to grow as a data scientist in industrial manufacturing, who adapts quickly and works well with distributed teams.

From the employer

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.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.