Data Scientist - 1 to 3 Years – PAN India

Discipline: Technology
Job type: Permanent
Contact name: Susmitha Kanaparthi

Contact email: susmitha.kanaparthi@crescendogroup.in
Job ref: 89107
Published: 1 day ago

Title of Job –
Data Scientist - 1 to 3 Years – PAN India

Summary –
A great opportunity for early-career Data Science professionals to work on real-world machine learning problems, leveraging Python, SQL, and analytical thinking to derive insights and build data-driven solutions. Ideal for candidates with 1–3 years of hands-on experience in DS/ML who are eager to grow in a dynamic, learning-focused environment.

Location – PAN India

Interview Rounds – 2–3 (Final Round Face-to-Face/Virtual)

Your Future Employer –

A forward-looking, data-driven organization committed to building intelligent systems, automating decision-making, and delivering impactful analytical solutions across business functions.

Responsibilities –

  • Build, train, and validate machine learning models for predictive and analytical use cases.

  • Work with Python, SQL, and DS/ML libraries to manipulate, clean, and analyze datasets.

  • Collaborate with cross-functional stakeholders to understand business problems and translate them into analytical solutions.

  • Perform exploratory data analysis, feature engineering, and data visualization.

  • Deploy models, track performance, and recommend improvements.

  • Document workflows, maintain code quality, and follow best practices in ML development.

Requirements –

  • 1–3 years of experience in Data Science or Machine Learning.

  • Strong proficiency in Python and SQL.

  • Hands-on experience with ML algorithms, data preprocessing, and model evaluation.

  • Ability to work with structured and unstructured data.

  • Logical thinking, analytical problem-solving, and the ability to communicate insights effectively.

Preferred Skills –

  • Exposure to cloud platforms (AWS/Azure/GCP).

  • Knowledge of data visualization tools (Power BI, Tableau, or similar).

  • Experience with end-to-end ML pipelines or MLOps practices.

What is in it for you –

Opportunity to work on impactful DS/ML projects, gain hands-on experience with real datasets, collaborate with strong mentors, and build a solid technical foundation in analytics and machine learning.

Reach us: If you think this role is aligned with your career, kindly write me an email along with your updated CV on susmitha.kanaparthi@crescendogroup.in for a confidential discussion on the role.

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Profile Keywords –
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