Data Scientist

eazygurus; Hyderabad; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

eazygurus seeks a highly analytical Data Scientist to extract insights from large datasets and build data-driven solutions. You will apply statistical analysis, ML, and data visualization to solve business problems and support strategic decisions.

The role requires 3-8 years of experience, strong Python or R skills, experience with ML libraries, and comfort working across Remote / On-site / Hybrid environments.

Qualifications

• Strong proficiency in Python or R.
• Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch).
• Solid understanding of statistics, probability, and linear algebra.
• Experience with SQL and data querying.
• Knowledge of data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
• Experience handling large datasets and data pipelines.
• Strong problem-solving and communication skills.

Responsibilities

• Analyze structured and unstructured data to derive actionable insights.
• Build, train, and deploy machine learning models.
• Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
• Collaborate with business, product, and engineering teams to define data problems.
• Develop predictive and descriptive models for forecasting and optimization.
• Create dashboards and reports to communicate insights to stakeholders.
• Monitor model performance and improve accuracy over time.
• Stay updated with latest data science techniques and tools.

Skills

Python or R

ML libraries

Statistics & linear algebra

SQL

Data visualization

Data pipelines

Problem solving & communication

Education

Master's degree in Data Science / Related field

Tools

TensorFlow

PyTorch

Tableau

Power BI

Matplotlib

Seaborn

Spark

Hadoop

AWS / Azure / GCP

Job description

Experience: 3-8 Years
Location: Remote / On-site / Hybrid
Employment Type: Full-time / Contract

Job Description

We are looking for a highly analytical and curious Data Scientist to extract insights from large datasets and build data-driven solutions. The role involves applying statistical analysis, machine learning, and data visualization to solve complex business problems and support strategic decision-making.

Key Responsibilities

• Analyze structured and unstructured data to derive actionable insights
• Build, train, and deploy machine learning models
• Perform data cleaning, feature engineering, and exploratory data analysis (EDA)
• Collaborate with business, product, and engineering teams to define data problems
• Develop predictive and descriptive models for forecasting and optimization
• Create dashboards and reports to communicate insights to stakeholders
• Monitor model performance and improve accuracy over time
• Stay updated with latest data science techniques and tools

Required Skills & Qualifications

• Strong proficiency in Python or R
• Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch)
• Solid understanding of statistics, probability, and linear algebra
• Experience with SQL and data querying
• Knowledge of data visualization tools (Tableau, Power BI, Matplotlib, Seaborn)
• Experience handling large datasets and data pipelines
• Strong problem-solving and communication skills

Preferred Qualifications

• Experience with NLP, computer vision, or time-series analysis
• Familiarity with big data tools (Spark, Hadoop)
• Experience working in cloud environments (AWS, Azure, GCP)
• Master's or PhD in Data Science, Statistics, Computer Science, or related field

What We Offer

• Opportunity to work on real-world, high-impact data problems
• Access to modern data science tools and technologies
• Competitive compensation and benefits
• Collaborative and learning-driven environment
• Growth opportunities and career advancement