Data Scientist

Telangana, Hyderabad, India

Open 5 months, first seen by us 154 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting

Lead data science projects using AI and machine learning
Optimize real-time data pipelines
Collaborate with cross-functional stakeholders
Mentor junior data scientists and lead technical teams
Build AI/ML models for complex business challenges

From the employer’s posting

lead data science projects

optimize real-time data pipelines

collaborate with cross-functional stakeholders

Ability to mentor junior data scientists and lead technical teams

AI/ML model development for solving complex business challenges

What you’ll bring

All qualifications

Core experience

10+ years in data science, machine learning and AI solutions
Strong Python, SQL, and distributed computing skills
Expertise in Elastic, Tableau, Power BI, OpenAI and Big Data frameworks
ETL pipeline optimization using Kafka and Hadoop
Bachelor's or Master's in Data Science, Computer Science, Statistics or related field

Qualification wording

10+ years of experience in Data Science, Machine Learning, and AI-driven solutions

Strong Python, SQL, and distributed computing expertise

Expertise in Elastic, Tableau, Power BI, OpenAI, and Big Data frameworks (Hadoop, Kafka) is essential

Experience in ETL pipeline optimization using Kafka and Hadoop

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field

Education & alternatives

Qualifications & Experience - Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field - 10+ years of experience in Data Science, Machine Learning, and AI-driven solutions

Apply at ECS | Enterprise Change Specialists

Posting record

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Open 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 3, 2026154 days ago
Recorded sightings: 118
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 154

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 9,988 similar postings that came down. Coming down is not always a hire.

ECS | Enterprise Change Specialists is hiring

14 open jobs

Its jobs tend to stay up a long time

Hiring record

See how this role fits your experience

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Python
SQL
Hadoop
Kafka
Logstash
Power BI
Tableau
Keras
PyTorch
TensorFlow

Where the posting names them

- Ability to mentor junior data scientists and lead technical teams - Strong Python, SQL, and distributed computing expertise Good-to-Have Skills (Optional)

Job Summary We are seeking a Senior Data Scientist to drive AI, Machine Learning, and Advanced Analytics initiatives, generating actionable business insights. The ideal candidate will lead data science projects, optimize real-time data pipelines, and collaborate with cross-functional stakeholders. Expertise in Elastic, Tableau, Power BI, OpenAI, and Big Data frameworks (Hadoop, Kafka) is essential. Must-Have Skills (Mandatory)

- Strong expertise in Elastic for large-scale search, analytics, and real-time data processing - Experience in ETL pipeline optimization using Kafka and Hadoop - Proficiency in Tableau, Power BI, and Logstash for business intelligence and reporting

- Experience in ETL pipeline optimization using Kafka and Hadoop - Proficiency in Tableau, Power BI, and Logstash for business intelligence and reporting - Hands-on experience with OpenAI, LLM-based technologies, and AI-driven automation

Good-to-Have Skills (Optional) - Knowledge of deep learning frameworks (TensorFlow, PyTorch, Keras) - Familiarity with IT governance, data security, and compliance standards

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Job Summary

We are seeking a Senior Data Scientist to drive AI, Machine Learning, and Advanced Analytics initiatives, generating actionable business insights. The ideal candidate will lead data science projects, optimize real-time data pipelines, and collaborate with cross-functional stakeholders. Expertise in Elastic, Tableau, Power BI, OpenAI, and Big Data frameworks (Hadoop, Kafka) is essential.

Must-Have Skills (Mandatory)

- AI/ML model development for solving complex business challenges

- Strong expertise in Elastic for large-scale search, analytics, and real-time data processing

- Experience in ETL pipeline optimization using Kafka and Hadoop

- Proficiency in Tableau, Power BI, and Logstash for business intelligence and reporting

- Hands-on experience with OpenAI, LLM-based technologies, and AI-driven automation

- Expertise in predictive analytics, anomaly detection, and recommendation systems

- Ability to mentor junior data scientists and lead technical teams

- Strong Python, SQL, and distributed computing expertise

Good-to-Have Skills (Optional)

- Knowledge of deep learning frameworks (TensorFlow, PyTorch, Keras)

- Familiarity with IT governance, data security, and compliance standards

- Experience in real-time data processing, feature engineering, and scalable model deployment

- Strong stakeholder management and leadership skills

Qualifications & Experience

- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field

- 10+ years of experience in Data Science, Machine Learning, and AI-driven solutions

- Proven experience in Big Data architectures, cloud-based AI solutions, and business intelligence tools

Source details

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