Data Scientist-Gen AI- 5+yrs- Gurgaon (Hybrid)

Location: India
Discipline: Analytics
Job type: Permanent
Contact name: Priya Bhatia

Contact email: priya.bhatia@crescendogroup.in
Job ref: 75946
Published: 1 day ago

Data Scientist- Gen AI- 5+years- Gurgaon (Hybrid)

 

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: 

  • Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field. 
  • 3+ 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
  • Experience with time series forecasting, recommendation engines, or anomaly detection
  • Contributions to open-source or published papers in data science journals.