Hello,

Greetings from ZettaMine Labs Pvt Ltd!!

We are looking for an experienced Data Scientist with project opportunities.

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

REQUIREMENT FOR DATA SCIENTIST

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 productive 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

Please share the following details along with your updated resume:

- Full Name:
- Contact Number:
- Current Location:
- Total Experience:
- Relevant Experience in Data Science:
- Python Experience:
- SQL Experience:
- Machine Learning Experience:
- Statistics / Statistical Modeling Experience:
- Pandas / NumPy / Scikit-learn Experience:
- EDA & Feature Engineering Experience:
- Data Visualization Tools:
- Deep Learning Experience:
- NLP / GenAI / LLM / RAG Experience:
- MLOps / Model Deployment Experience:
- Cloud Experience (AWS/Azure/GCP):
- PySpark Experience:
- Current Company:
- Notice Period:
- Current CTC:
- Expected CTC:

We look forward to connecting with you! to [email protected]

📌 Data Scientist (Bengaluru)
🏢 Zettamine Labs
📍 Bengaluru