Data Scientist_Gen AI_5+ Years_Gurugram

We are looking for a highly skilled Data Scientist with strong Data Engineering capabilities to join the Advanced Analytics and Modeling team. This role focuses on building and deploying machine learning models, designing scalable data pipelines, and delivering predictive insights using Python and cloud platforms. The ideal candidate brings deep ML expertise along with production deployment experience.

Location – Gurgaon 

Your Future Employer – A high-growth, analytics-driven organization building advanced ML and data solutions at scale, working across predictive modeling, automation, and cloud-based analytics platforms.

Responsibilities –

1. Develop and deploy machine learning models for classification, regression, and clustering use cases

2. Perform statistical and advanced analytical modeling to generate actionable business insights

3. Design predictive analytics solutions to support strategic decision-making

4. Design, build, and optimize data pipelines using Airflow and ETL frameworks

5. Ensure data quality, integrity, and availability across analytics workflows

6. Deploy ML models into production using Python frameworks and containerization tools (Docker/Kubernetes)

7. Build interactive dashboards using Python visualization libraries

8. Collaborate with cross-functional teams to translate business requirements into analytical solutions

Requirements –

1. 4–8 years of experience in Data Science with Data Engineering exposure

2. Strong proficiency in Python (advanced concepts), SQL, and Excel

3. Hands-on experience with ML libraries such as Scikit-learn, TensorFlow, or PyTorch

4. Experience building dashboards using Plotly, Dash, or Streamlit

5. Strong experience with ETL processes and pipeline automation

6. Knowledge of Airflow or similar workflow orchestration tools

7. Experience deploying ML models using Flask, FastAPI, or similar frameworks

8. Working knowledge of Docker and Kubernetes

9. Experience with Git and version control practices

10. Exposure to AWS / Azure / GCP cloud platforms

What is in it for you –

1. Opportunity to work on advanced ML and predictive analytics projects

2. Exposure to end-to-end model lifecycle — from experimentation to production

3. Work with modern cloud and data engineering stacks

4. Collaborative, high-learning, and innovation-focused environment

5. Strong career growth in advanced analytics and AI programs

Reach us – If you think this role is aligned with your career, kindly write me an email along with your updated CV on jagrati.taneja@crescendogroup.in for a confidential discussion on the role.

Disclaimer – Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging and memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status.

Note – We receive a large number of applications daily, so it may not be possible to respond to every applicant. Please assume your profile has not been shortlisted if you do not hear from us within one week. Your patience is appreciated. Crescendo Global never asks for money or purchases for job opportunities. Please stay alert to fraud.

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