Data Scientist

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 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

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]