Bahadurgarh Haryana Senior data scientist — manufacturing & process ai Jobs – 3 Open Jobs Today

Senior Data Scientist — Manufacturing & Process AI
Employee Hub LLP —Delhi, Delhi
- Up to ₹12,00,000 a year
- Azure
- Salesforce
- Engineering
Quick apply
14d
Sr. Data Engineer - Data Engineering 4B
Genpact India Pvt. Ltd. —Delhi, Delhi
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
Quick apply
8d
IMU IX Strategy Manager
Accenture —Delhi, Delhi
- Full-time
- PMP
- Engineering
- Master's degree

Other jobs to consider

Find your next job by exploring related positions.

Senior Data Scientist — Manufacturing & Process AI
Employee Hub LLP —Delhi, Delhi
*Experience:* 3–6 years of experience building and deploying ML models, with *demonstrable experience in a manufacturing or process-industry environment* (e.g.,…
Up to ₹12,00,000 a year
Quick apply
14d
GCMA Senior Associate - Germ Protection
Reckitt —Gurugram, Haryana
Previous experience of work in Product Research and Development, or experience of Clinical studies, with examples of successful product launches is an advantage…

I want to receive the latest job alerts for senior data scientist — manufacturing & process ai in bahadurgarh haryana

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

senior data scientist — manufacturing & process ai jobs near bahadurgarh haryana

Data Engineer jobs in Delhi, Delhi

Senior Data Scientist jobs in Delhi, Delhi

Strategy Manager jobs in Delhi, Delhi

Data Engineer jobs in Orissa

Data Scientist, Internship jobs in Coimbatore, Tamil Nadu

Data Entry jobs in Baranagar, Kolkata, West Bengal

Data Engineer jobs in Kolkata, West Bengal

Data Engineer jobs in Pimpri Chinchwad, Maharashtra

Typing Work From Home, Data Entry jobs in Nagpur, Maharashtra

10th Pass, Data Entry jobs in Mumbai, Maharashtra

Data Engineer jobs in Parwanoo, Himachal Pradesh

Freshers Data Analyst jobs in Faridabad, Haryana

Senior Data Scientist jobs in Remote

Analytical Scientist jobs in Hyderabad, Telangana

12th Pass Data Entry Job jobs in Pune, Maharashtra

Senior Data Scientist jobs in Bengaluru, Karnataka

Senior Data Scientist jobs in Kolkata, West Bengal

Senior It Manager jobs in Coimbatore, Tamil Nadu

Senior Data Scientist jobs in Hyderabad, Telangana

Ai Product Manager jobs in Mumbai, Maharashtra

Senior Data Scientist — Manufacturing & Process AI

Employee Hub LLP
Delhi, Delhi

Quick apply

Job details

Contractual / Temporary
Up to ₹12,00,000 a year
14 days ago

Qualifications

Statistics
Azure
Internet of things
Big data
Enterprise Software
SAP
Salesforce
Engineering
NumPy
Git
M.Eng
Finance
Master's degree
SQL
Pandas
OOP
AWS
Bachelor's degree
Machine learning
Quality control
SciPy
Forecasting
Distributed control systems
Data science
Manufacturing
SAP ERP
AI
Python
Analytics

Full job description

As a Senior Data Scientist (Manufacturing & Process AI), you will build and deploy machine learning models directly on plant data to significantly cut energy consumption, improve critical equipment reliability, and tighten product quality across our operations.

This is a highly collaborative, hands-on modeling role embedded within our process, operations, and reliability teams. Your success will be measured by finance-validated operational savings (e.g., kcal/kg clinker, kWh/tonne, and avoided downtime).

Key Responsibilities

ML Modeling for Industry: Build, validate, and deploy ML models for process optimization (kiln/pyro-process control, grinding & separator efficiency), predictive maintenance on critical rotating equipment, and quality/clinker-factor optimization.
Industrial Data Wrangling: Work with high-frequency sensor and time-series data from plant historians, DCS, and IIoT systems. Clean and engineer meaningful features from noisy, real-world industrial signals.
Bridge the Gap (OT to AI): Partner closely with plant operators and process engineers to encode domain knowledge into your models. Safely guide models from advisory recommendations toward closed-loop control.
Business & Financial Rigor: Establish rigorous baselines and quantify financial impact with institutional discipline, defending data results under scrutiny.
Production Deployment: Collaborate with the MLOps/Platform team to productionize models and monitor their drift and performance in live operations.

Required Qualifications & Skills (Must-Have)Education & Experience

Degree: Bachelor's or Master’s degree in Engineering (Chemical, Mechanical, Electrical, Industrial), Statistics, Computer Science, or a related quantitative field.
Experience: 3–6 years of experience building and deploying ML models, with demonstrable experience in a manufacturing or process-industry environment (e.g., cement, steel, refining, chemicals, power, glass, mining).

Technical Skill Set

Core Machine Learning: Deep command of classical machine learning including regularized regression (Ridge, Lasso, ElasticNet), tree-based ensembles (Random Forest, XGBoost, LightGBM, CatBoost), SVM, k-NN, and Naive Bayes.
Data Science & Engineering: Strong, idiomatic Python (NumPy, pandas, SciPy, scikit-learn, statsmodels) writing clean, tested, production-quality code. Strong SQL skills are mandatory.
Time-Series & Analytics: Strong applied skills in time-series analysis, sensor/signal data processing, anomaly detection, regression, and forecasting with a solid statistics foundation.
Soft Skills: Comfortable being on the plant floor, explaining complex models simply to engineers and operators to earn their trust.

Preferred Qualifications (Strong Plus)

OT Data Experience: Hands-on experience with Industrial IoT (IIoT) and Operational Technology (OT) data—plant historians (OSIsoft PI / AVEVA, Aspen IP.21), OPC-UA, SCADA / DCS, and time-series databases.
Domain Exposure: Background in cement or heavy/process manufacturing (pyroprocessing, grinding, combustion, quality control).
Enterprise Systems: Experience working with data from SAP (ERP—specifically PM/PP modules) and Salesforce (SFDC).
Advanced Controls: Familiarity with Advanced Process Control (APC) concepts and closed-loop deployment.
Advanced Modeling: Deep learning for time series; physics-informed or hybrid (data + first-principles) modeling.
Big Data: Experience with PySpark for large datasets.

Technical Environment & Tools

Programming: Python (pytest, OOP), SQL, Jupyter, Git
Libraries: Scikit-learn, Statsmodels, XGBoost, LightGBM, Matplotlib, Seaborn, sktime, tsfresh, Prophet
Unsupervised: K-means, DBSCAN, Hierarchical Clustering, PCA
Platforms: Cloud/Lakehouse (Azure, AWS, or Databricks), Git-based workflows.

Pay: Up to ₹1,200,000.00 per year

Application Question(s):

Notice Period / Joining Timeline:

This is an urgent requirement. Are you available to join within immediate to 1 week maximum?

Options: Yes / No

This position is being filled as a Vendor Contract role. Are you comfortable working under a vendor contract engagement?

Options: Yes / No

Do you have demonstrable experience building and deploying ML models specifically within a manufacturing or heavy process-industry environment (e.g., cement, steel, refining, chemicals, power, glass, mining)?
current salary per month?
expected salary per month?

Experience:

Senior Data Scientist (Manufacturing & Process AI): 3 years (Required)

Work Location: In person

Quick apply

Refine Your Search

senior data scientist — manufacturing & process ai jobs in bahadurgarh haryana

Senior Data Scientist — Manufacturing & Process AI

Sr. Data Engineer - Data Engineering 4B

IMU IX Strategy Manager

Other jobs to consider

I want to receive the latest job alerts for senior data scientist — manufacturing & process ai in bahadurgarh haryana

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected