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Salary
≈ $19k – $39k per year (Estimated)
Location
In office (Noida, Gurgaon, Delhi)
Seniority
Senior · 5+ years exp

First seen by Alion on Sep 18, 2026.

Overview
Company
Impact
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SP Staffing services is one of the leading recruitment companies in Chennai, India offering hiring solutions for all industry verticals. Call us.

Job Overview:

We are looking for an experienced Data Scientist with 5+ years of experience in data science, machine learning, and statistical analysis. The ideal candidate will be responsible for developing data-driven solutions, building and deploying machine learning models, and translating complex business problems into actionable insights.

Key Responsibilities:

- Analyze large and complex datasets to identify trends, patterns, and actionable business insights.

- Develop, train, validate, and optimize machine learning and statistical models for business use cases.

- Perform data preprocessing, feature engineering, exploratory data analysis, and model evaluation.

- Collaborate with business, product, engineering, and analytics teams to understand requirements and define data science solutions.

- Deploy and monitor machine learning models in production environments and ensure model performance and reliability.

- Develop predictive and classification models using appropriate machine learning algorithms.

- Create data visualizations and present analytical findings and recommendations to technical and non-technical stakeholders.

- Implement best practices for model development, experimentation, documentation, and version control.

Required Skills:

- 5+ years of experience in Data Science - Machine Learning.

- Strong programming skills in Python.

- Hands-on experience with Pandas, NumPy, Scikit-learn, and other data science libraries.

- Strong understanding of statistics, probability, and machine learning algorithms.

- Experience with SQL and working with large datasets.

- Experience in data preprocessing, feature engineering, model validation, and optimization.

- Knowledge of machine learning techniques such as regression, classification, clustering, and ensemble methods.

- Experience with data visualization tools such as Power BI, Tableau, Matplotlib, or Seaborn.

- Good understanding of model deployment, APIs, and ML lifecycle practices.

- Strong analytical, problem-solving, and communication skills.

Skills

Data Science, Machine Learning, Python, SQL, Data Analytics, Tableau, Power BI, Data Scientist, Data Management, Analytics

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