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Data Scientist

Job in 110006, Delhi, Delhi, India
Listing for: Aria Intelligent Solutions
Contract position
Listed on 2026-02-26
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer
Job Description & How to Apply Below
Position: Data Scientist - Contract
We are looking for a Data Scientist with 3+ years of hands-on experience in building data-driven solutions and a strong foundation in Object-Oriented Programming (OOP). The ideal candidate will work closely with cross-functional teams to analyze data, build predictive models, and translate complex data insights into actionable business outcomes.

Key Responsibilities:

• Develop, implement, and deploy machine learning and statistical models to solve business problems

• Perform data exploration, feature engineering, and data preprocessing on structured and unstructured datasets

• Write clean, modular, and scalable code using Object-Oriented Programming principles

• Collaborate with engineering, product, and business teams to define data requirements and success metrics

• Build and maintain data pipelines and model workflows

• Evaluate model performance and continuously improve accuracy and efficiency

• Communicate insights, findings, and recommendations to stakeholders in a clear and concise manner

• Document models, code, and processes for knowledge sharing and reproducibility

Mandatory

Skills & Qualifications

• 3+ years of professional experience in Data Science or related roles

• Strong experience in Object-Oriented Programming (OOP) using Python / Java / C++ (Python preferred)

Hands-on experience with machine learning algorithms, statistical modeling, and data analysis

• Proficiency in Python and common data science libraries (Num Py, Pandas, Scikit-learn, etc.)

• Experience with SQL and working with large datasets

• Understanding of software engineering best practices, version control (Git), and code reviews

Good to Have

• Experience with deep learning frameworks (Tensor Flow, PyTorch)

• Exposure to cloud platforms (AWS, GCP, Azure)

• Experience deploying models using APIs or MLOps tools

• Knowledge of big data tools (Spark, Hadoop)

• Experience in agile or fast-paced environments

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
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