Data Scientist | 6+ yrs | Immediate Joiners only | PAN INDIA

UST; Bengaluru Urban; Presencial; INR 1 500 000 - 2 500 000; Tempo integral

Resumo da oferta

UST in Bengaluru seeks an experienced Data Scientist with deep ML, predictive analytics, and PySpark expertise to translate business requirements into data-driven solutions and deliver measurable impact.

Responsibilities include developing models, forecasting, feature engineering, validating and optimizing models, handling large datasets with PySpark, and communicating insights to stakeholders.

Qualificações

• PySpark, Python, SQL, and predictive analytics modeling skills.
• Hands-on experience building ML models and predictive analytics solutions.
• Experience working with large datasets and distributed processing.
• Ability to translate business requirements into data-driven insights.

Responsabilidades

• Develop machine learning and predictive models to solve business problems.
• Perform forecasting, predictive analytics, statistics, and classical modeling.
• Build and evaluate ML models using Python and Scikit-learn (sklearn).
• Process and analyze large-scale datasets using PySpark.
• Use SQL for data extraction, transformation and analysis.
• Perform feature engineering, model validation, optimization, and evaluation.
• Translate complex datasets into actionable insights for profitability and decision-making.
• Partner with stakeholders to understand requirements and deliver analytics solutions.
• Clearly communicate findings and recommendations to technical and business teams.

Conhecimentos

PySpark

Python

SQL

Predictive Analytics / Predictive Mod.

Descrição da oferta de emprego

We are looking for an experienced Data Scientist with strong expertise in Machine Learning, Predictive Analytics, and PySpark. The ideal candidate should have hands-on experience developing analytical and machine learning models, working with large datasets, and translating business requirements into actionable data-driven solutions.

Key Responsibilities

• Develop and implement Machine Learning and predictive models to solve complex business problems.
• Perform forecasting, predictive analytics, statistical analysis, and classical modeling.
• Build and evaluate ML models using Python and Scikit-learn (sklearn).
• Process and analyze large-scale datasets using PySpark.
• Use SQL for data extraction, transformation, and analysis.
• Perform feature engineering, model validation, optimization, and performance evaluation.
• Translate complex datasets into meaningful insights that support business profitability and decision-making.
• Partner with business stakeholders and cross-functional teams to understand requirements and deliver analytical solutions.
• Clearly communicate analytical findings and recommendations to technical and business stakeholders.

Mandatory Skills

• PySpark
• Python
• SQL
• Predictive Analytics / Predictive Modeling

Preferred Skills

• Forecasting
• Statistical / Classical Modeling
• Model Evaluation and Optimization
• Experience handling large and complex datasets
• Strong analytical and problem-solving skills