Hiring For Data Scientist role-Manufacturing,Aeropsace

Hiring for Data Scientist Position

Location:Bangalore

Experience:4-6 Years

5 days working

Timings:8:30 AM to 6 PM

Interview Process: 2 Rounds-1 Virtual,1 F2F

Preferred Industries: Aviation,Manufacturing,Machinery,Aerospace

Note:Applications from mentioned industries experience only acceptable

• Data Collection & Preparation

Gather data from databases, APIs, ERP systems, CRM systems, and external sources.

Clean, validate, and transform large datasets for analysis.

Perform Exploratory Data Analysis (EDA) to identify trends and patterns.

• Machine Learning Model Development

Build, train, and deploy Machine Learning (ML) models.

Develop predictive models for forecasting, classification, and recommendation systems.

Tune model parameters to improve accuracy and performance.

• Statistical Analysis

Apply statistical techniques to solve business problems.

Perform hypothesis testing, regression analysis, and forecasting.

Identify key business drivers through data analysis.

• Data Visualization & Reporting

Create dashboards and reports using Power BI, Tableau, or Python.

Present insights and recommendations to management and stakeholders.

Convert complex data into actionable business decisions.

• Business Problem Solving,Work closely with business teams to understand requirements.Translate business challenges into analytical solutions.Measure and optimize business performance using data-driven approaches.
• Model Deployment & Monitoring

Deploy models into production environments.

Monitor model performance and retrain when necessary.

Ensure scalability and reliability of deployed solutions.

• Collaboration & Documentation

Collaborate with Data Engineers, Business Analysts, and IT teams.

Document methodologies, models, and findings.

Follow data governance and security policies.

• Programming: Python, R, SQL
• Machine Learning: Scikit-learn, TensorFlow, PyTorch
• Data Analysis: Pandas, NumPy, SciPy
• Visualization: Power BI, Tableau, Matplotlib, Seaborn
• Databases: SQL Server, MySQL, PostgreSQL, MongoDB
• Cloud Platforms: Azure, AWS, GCP

Big Data: Spark, Hadoop (preferred)

Share your updated CV to sindhura@delighthr.com