Data Scientist

iConsultera India
Remote
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AI Summary

Seeking a Data Scientist to analyze large datasets and build predictive models. Responsibilities include data cleaning, model deployment, and generating actionable insights. Requires strong programming in Python/R and SQL, with experience in machine learning and data visualization.

Key Highlights
Analyze large datasets and build predictive models
Generate actionable insights for business decisions
Work with cross-functional teams in a fully remote setup
Key Responsibilities
Collect, clean, and analyze structured and unstructured data
Build and deploy machine learning models
Perform data exploration and statistical analysis
Develop dashboards, reports, and data visualizations
Collaborate with product, engineering, and business teams
Communicate insights and recommendations to stakeholders
Optimize model performance and accuracy
Work with large datasets using scalable tools and techniques
Technical Skills Required
Python R Pandas NumPy Scikit-learn SQL Power BI Tableau Matplotlib Seaborn
Nice to Have
Deep learning frameworks (TensorFlow, PyTorch)
Big data tools (Spark, Hadoop)
Cloud platforms (AWS, Azure, GCP)
NLP, computer vision, or recommendation systems
MLOps and model deployment

Job Description


Role Overview

We are looking for a Data Scientist to analyze large datasets, build predictive models, and generate actionable insights to support business decisions. You’ll work with cross-functional teams to turn data into meaningful solutions in a fully remote setup.


Key Responsibilities

  • Collect, clean, and analyze structured and unstructured data
  • Build and deploy machine learning models
  • Perform data exploration and statistical analysis
  • Develop dashboards, reports, and data visualizations
  • Collaborate with product, engineering, and business teams
  • Communicate insights and recommendations to stakeholders
  • Optimize model performance and accuracy
  • Work with large datasets using scalable tools and techniques


Required Skills

  • Strong programming skills in Python or R
  • Experience with data analysis libraries (Pandas, NumPy, Scikit-learn)
  • Knowledge of machine learning algorithms
  • Strong understanding of statistics and probability
  • Experience with SQL and databases
  • Data visualization skills (Power BI, Tableau, Matplotlib, Seaborn)
  • Problem-solving and analytical thinking


Preferred Skills

  • Experience with deep learning frameworks (TensorFlow, PyTorch)
  • Knowledge of big data tools (Spark, Hadoop)
  • Familiarity with cloud platforms (AWS, Azure, GCP)
  • Experience in NLP, computer vision, or recommendation systems
  • Understanding of MLOps and model deployment

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