Data Scientist

Zettamine Labs; Bengaluru; Hybrid; INR 1,400,000 - 2,100,000; Full time

Job summary

ZettaMine Labs Pvt Ltd in Hyderabad is seeking a Data Scientist for a hybrid/onsite, full-time role. You will analyze large datasets, build and validate ML models, perform EDA and feature engineering, and deliver data-driven insights for product decisions.

The role requires 3+ years of hands-on experience with Python, SQL, statistics, and ML, plus strong problem-solving and communication skills.

Qualifications

• Minimum 3 years of hands-on data science experience.
• Proficient in Python, SQL, statistics and ML.
• Experience with EDA, feature engineering and model evaluation.

Responsibilities

• Analyze large datasets to identify trends and insights.
• Develop, validate, and optimize ML and statistical models.
• Perform data preprocessing, exploratory data analysis (EDA), feature engineering, and visualization.
• Apply ML techniques for classification, regression, forecasting, clustering, and recommendations.
• Collaborate with Data Engineers and Software Engineers to productionize ML models.
• Maintain documentation of datasets, experiments and results.

Skills

Python

SQL

Machine Learning

Statistics

Data Analysis

EDA

Feature Engineering

Scikit-learn

Pandas

NumPy

Data Visualization

Deep Learning

NLP

Generative AI

MLOps

Cloud

PySpark

Education

Bachelor's or Master's in CS/DS/Stats/Math/Engineering

Tools

Docker

Kubernetes

Spark

MLflow

AWS

GCP

Azure

Job description

Hello,

Greetings from ZettaMine Labs Pvt Ltd!!

Job Role

Data Scientist

Location

Hyderabad

Work Mode

Hybrid / Onsite

Employment Type

Full-Time

Experience

37 Years

Relevant Experience

Minimum 3 years of hands-on experience in Data Science, Python, SQL, Statistics, Machine Learning, Data Analysis, and Model Development.

Mandatory

Python + SQL + Machine Learning + Statistics + Predictive Modeling + Data Analysis + EDA + Feature Engineering + Scikit-learn + Pandas + NumPy + Statistical Modeling + Model Evaluation + Data Visualization

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, correlations, and actionable business insights.
• Develop, train, validate, and optimize machine learning and statistical models.
• Perform data preprocessing, exploratory data analysis (EDA), feature engineering, and data visualization.
• Apply supervised and unsupervised machine learning techniques to solve business and product problems.
• Develop predictive models for classification, regression, forecasting, clustering, and recommendation use cases.
• Evaluate model performance using appropriate statistical and machine learning metrics.
• Perform model tuning, optimization, validation, and error analysis.
• Write efficient and optimized SQL queries for data extraction, transformation, and analysis.
• Use Pandas, NumPy, Scikit-learn, and other Python libraries for data analysis and model development.
• Create dashboards, reports, and visualizations using Matplotlib, Seaborn, Plotly, Power BI, or Tableau.
• Collaborate with Data Engineers and Software Engineers to productionize ML models and data science solutions.
• Work closely with Product Managers and business stakeholders to translate business requirements into data-driven solutions.
• Maintain documentation related to datasets, experiments, models, methodologies, and results.
• Stay updated with developments in Machine Learning, Generative AI, NLP, and AI technologies.

Machine Learning Expertise

Strong understanding and hands-on experience with:

• Linear Regression & Logistic Regression
• Decision Trees
• Random Forest
• Gradient Boosting / XGBoost
• Clustering Algorithms
• Time Series Analysis
• Dimensionality Reduction
• Predictive Modeling
• Model Selection & Hyperparameter Tuning
• Model Validation & Performance Evaluation

Who Can Apply?

• Candidates with 37 years of Data Science experience.
• Strong hands-on experience in Python and SQL.
• Strong understanding of Statistics, Probability, Hypothesis Testing, and Machine Learning.
• Experience with EDA, data preprocessing, feature engineering, and predictive modeling.
• Hands-on experience with Pandas, NumPy, and Scikit-learn.
• Experience developing and evaluating machine learning models.
• Strong data visualization and analytical skills.
• Candidates with exposure to ML deployment, MLOps, and Cloud platforms are preferred.
• Strong analytical, problem-solving, and communication skills.

Good to Have

• Deep Learning using TensorFlow or PyTorch.
• Knowledge of NLP, Generative AI, LLMs, RAG, or AI Agents.
• Experience with Spark / PySpark.
• Knowledge of Docker, Git, CI/CD, MLflow, and Kubernetes.
• Exposure to AWS, Azure, or GCP.
• Experience with cloud-based data and ML services.
• Understanding of data engineering concepts and modern data platforms.

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

Key Skills

Python | SQL | Machine Learning | Statistics | Predictive Modeling | Data Analysis | EDA | Feature Engineering | Scikit-learn | Pandas | NumPy | Data Visualization | Deep Learning | NLP | Generative AI | MLOps | Cloud | PySpark