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hirist

Data Scientist - Python/Machine Learning

CRESCENDO GLOBAL LEADERSHIP HIRING INDIA PRIVATE L
Multiple Locations
5 - 13 Years
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4.4white-divider147+ Reviews

Posted on: 03/02/2026

Job Description

Description : Data Scientist- 5+years- Gurgaon

Job Summary :

We are looking for an experienced Data Scientist who is passionate about uncovering insights from data and delivering scalable data-driven solutions. The ideal candidate will have a strong foundation in machine learning, statistics, and programming, and will play a critical role in transforming complex datasets into actionable intelligence.

Key Responsibilities :

- Design and implement machine learning models and data science solutions for predictive analytics, classification, and clustering problems.

- Collaborate with data engineers and software developers to deploy ML models in production environments.

- Conduct data wrangling, exploratory data analysis (EDA), and data visualization to identify trends and patterns.

- Build data pipelines and workflows using Python, SQL, or cloud technologies (e.g., AWS, Azure, GCP).

- Leverage large datasets from internal and external sources to create advanced analytics models.

- Communicate findings effectively to both technical and non-technical stakeholders.

Key Skills / Keywords :

- Machine Learning

- Data Science

- Data Developer

- Statistical Analysis

- Data Mining

- Python / R

- SQL / NoSQL

- Big Data (Hadoop, Spark)

- Data Visualization (Power BI, Tableau, matplotlib, seaborn)

- Natural Language Processing (NLP)

- Deep Learning (TensorFlow, PyTorch)

- Cloud Platforms (AWS, Azure, GCP)

- Model Deployment

- Version Control (Git)

- CI/CD for ML

Qualifications :

- Bachelors or masters degree in computer science, Data Science, Statistics, Mathematics, or a related field.

- 5+ years of experience as a Data Scientist, ML Engineer, or Data Developer.

- Demonstrated success in building and deploying ML models.

Preferred Attributes :

- Knowledge of MLOps, Kubeflow, or MLFlow.

- Contributions to open-source or published papers in data science journals.


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