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hirist

Data Scientist - Machine Learning

Talent Socio
Anywhere in India/Multiple Locations
5 - 7 Years
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3.9white-divider12+ Reviews

Posted on: 20/09/2025

Job Description

About the Role :


We are seeking a highly skilled Data Scientist specializing in Machine Learning and Predictive Modeling to join our dynamic team.

In this role, you will leverage your expertise to develop, implement, and optimize advanced models that deliver actionable insights and drive strategic business decisions.

Youll work closely with cross-functional teams to translate complex data into meaningful solutions that impact our products and services.

Key Responsibilities :


- Design, develop, and deploy machine learning models and predictive algorithms to solve complex business problems.

- Analyze large and diverse datasets to identify patterns, trends, and opportunities for optimization.

- Collaborate with product managers, engineers, and domain experts to understand requirements and translate them into robust data-driven solutions.


- Perform data preprocessing, feature engineering, and model evaluation to ensure accuracy and reliability.

- Continuously monitor, validate, and improve existing models in production.

- Communicate findings, insights, and technical concepts clearly to non-technical stakeholders through visualizations, reports, and presentations.


- Stay current with the latest advancements in machine learning, AI, and data science to recommend innovative approaches.

- Contribute to building scalable data pipelines and integrating ML models into production environments.

- Participate in research and development activities to explore novel modeling techniques and tools.

Requirements :


- Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Engineering, or related field; PhD is a plus.

- 5+ years of professional experience in data science, machine learning, or predictive analytics.

- Strong programming skills in Python or R, with experience in ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar.

- Expertise in statistical modeling, regression, classification, clustering, and time series forecasting.

- Experience with data preprocessing, feature selection, dimensionality reduction, and model validation techniques.

- Proficiency in SQL and working with large-scale datasets using platforms like Hadoop, Spark, or cloud-based data warehouses.

- Familiarity with deploying machine learning models using APIs or cloud services (AWS, GCP, Azure).

- Excellent problem-solving skills and ability to work independently and collaboratively in a team

environment


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