Data Scientist

Key Responsibilities

- Design and develop data pipelines to collect, clean, and preprocess large datasets from multiple sources.
- Perform exploratory data analysis (EDA) to identify trends and patterns in complex data sets.
- Develop and deploy machine learning models (classification, regression, clustering) to solve real-world problems.
- Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.
- Communicate insights through visualizations, dashboards, and reports to stakeholders.
- Optimize model performance and ensure scalability in production environments.
- Work on real-world use cases such as recommendation systems, forecasting, and anomaly detection.

Required Qualifications

- Possess a solid foundation in statistics, machine learning, and data engineering concepts.
- Have a solid understanding of Python or R programming languages.
- Experience with libraries such as Pandas, NumPy, and Scikit-learn.
- Knowledge of machine learning algorithms and model evaluation techniques.
- Proficiency in SQL and relational databases.
- Data visualization skills using Matplotlib, Seaborn, or Tableau/Power BI.
- Ability to work with large datasets and develop data pipelines.
- Experience with cloud platforms (AWS, Azure, or GCP).




- Knowledge of MLOps and model deployment.
- Exposure to NLP or Computer Vision.

Technical Skills & Experience

- Experience with Python or R programming languages.
- Knowledge of machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
- Understanding of data engineering concepts and experience with data pipelines.
- Proficiency in SQL and relational databases.
- Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau/Power BI.
- Knowledge of cloud platforms (AWS, Azure, or GCP).
- Experience with MLOps and model deployment.
- Exposure to NLP or Computer Vision.
- Ability to work with large datasets and develop data pipelines.
- Understanding of data engineering concepts and experience with data pipelines.

Preferred Qualifications

- Experience with Deep Learning frameworks (TensorFlow / PyTorch).
- Familiarity with Big Data technologies (Apache Spark, Hadoop).
- Knowledge of data governance and data quality principles.
- Exposure to DevOps and Agile methodologies.
- Ability to communicate technical concepts to non-technical stakeholders.
- Experience with data storytelling and visualization techniques.

📌 Data Scientist (Hyderabad)
🏢 Avance Consulting
📍 Hyderabad