Data Scientist

14 hours ago

Jaipur, Rajasthan, India Xebia Full time ₹ 5,00,000 - ₹ 15,00,000 per year

Job Description

Job Role: Data Scientist

Experience: 2-4 Years

Job Location: Jaipur

About the Role

We are seeking a highly skilled and motivated
Data Scientist
to join our team. The ideal candidate will have strong analytical skills, expertise in data modeling, and the ability to translate complex data into actionable insights that support business decisions.

Key Responsibilities

  • Collect, clean, and analyze structured and unstructured data from multiple sources.
  • Develop and implement machine learning models, algorithms, and statistical techniques.
  • Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
  • Design and optimize predictive and prescriptive models for business use cases.
  • Collaborate with cross-functional teams (engineering, product, business) to understand requirements and deliver data-driven solutions.
  • Build dashboards, reports, and data visualizations to communicate findings effectively.
  • Stay updated with the latest advancements in data science, AI, and machine learning.

Required Skills & Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • Proven experience (2+ years) as a Data Scientist or in a similar role.
  • Strong programming skills in Python/R and proficiency in SQL.
  • Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Hands-on experience with data visualization tools (e.g., Power BI, Tableau, matplotlib, seaborn).
  • Solid understanding of statistical analysis, hypothesis testing, and predictive modeling.
  • Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
  • Excellent problem-solving and communication skills.

Preferred Qualifications

  • Experience working with Azure cloud platform.
  • Knowledge of deep learning and NLP techniques.
  • Exposure to MLOps and deployment of models in production.

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