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Data Scientist

CG-VAK Software & Exports Ltd.

8 years

0 Lacs

bengaluru karnataka india

Posted:3 hours ago| Platform:

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Skills Required

data analysis learning analytics design regression xgboost inference optimization model evaluation tuning scalability python sql visualization ml aws azure deployment spark networks

Work Mode

On-site

Job Type

Full Time

Job Description

Position Overview
We are seeking an experienced Data Scientist with 7–8 years of hands-on expertise in applying statistical analysis, machine learning, and predictive modeling techniques. The ideal candidate will have strong experience in supervised learning methods and advanced analytics, with proven ability to design, develop, and deploy data-driven solutions to solve complex business challenges.Key Responsibilities

Apply statistical analysis, machine learning, and predictive modeling to develop business-driven solutions.
Build and optimize models for classification, regression, and causal inference.
Work with supervised learning methods including XGBoost, Ridge, ElasticNet, and Neural Networks.
Design and implement predictive analytics models for real-world use cases.
Apply causal inference and optimization techniques to derive actionable insights.
Collaborate with cross-functional teams (data engineers, business analysts, stakeholders) to integrate models into production systems.
Perform model validation, performance evaluation, and tuning to ensure scalability and accuracy.
Communicate findings and insights effectively to both technical and non-technical stakeholders.

Skills & Expertise Required

Strong knowledge in Machine Learning & Predictive Analytics.
Hands-on experience with models: XGBoost, Ridge Regression, ElasticNet, Neural Networks.
Expertise in causal inference and optimization methodologies.
Proficiency in Python/R for statistical modeling and data manipulation.
Experience with SQL and working with large datasets.
Solid understanding of statistical concepts, data visualization, and feature engineering.

Preferred Skills

Exposure to cloud-based ML platforms (AWS, Azure, GCP).
Knowledge of MLOps and deployment of models into production.

Familiarity with Big Data tools (Spark, Hadoop).

Skills: data,learning,machine learning,neural networks,analytics,optimization,models,design,modeling

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Data Scientist