Job Description

We are looking for a Data Scientist with 2+ years of experience in data analysis, statistical modeling, machine learning, and predictive analytics. The ideal candidate will have hands-on experience with Python, SQL, machine learning techniques, and data visualization, and be able to translate business problems into data-driven solutions.

Key Responsibilities
Analyze large and complex datasets to identify trends, patterns, and actionable insights.
Develop and implement machine learning models for classification, regression, clustering, forecasting, and prediction.
Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA).
Build, evaluate, tune, and deploy machine learning models using appropriate algorithms.
Work with business and technical teams to understand requirements and translate them into analytical solutions.
Develop statistical models and perform hypothesis testing and correlation analysis.
Use SQL to extract, transform, and validate data from databases.
Create dashboards and visualizations to communicate insights effectively to stakeholders.
Monitor model performance and continuously improve model accuracy and reliability.
Document analytical methodologies, models, assumptions, and results.




Collaborate with data engineers, BI developers, product managers, and other stakeholders.
Stay up to date with developments in machine learning, AI, and data science.

Required Skills
2+ years of experience in data science, machine learning, or analytics.
Strong programming skills in Python.
Hands-on experience with Pandas, Num Py, and scikit-learn.
Solid SQL skills.
Valuable understanding of machine learning algorithms, regression and classification, clustering, feature engineering, model evaluation and validation, exploratory data analysis, statistics, and probability.
Experience with data visualization tools such as Power BI, Tableau, Matplotlib, or Seaborn.
Experience working with structured and unstructured datasets.
Robust analytical and problem-solving skills.

Valuable to Have
Experience with Tensor Flow or PyTorch.
Knowledge of NLP, generative AI, or LLMs.
Experience with cloud platforms such as AWS, Azure, or GCP.
Knowledge of MLflow or other MLOps tools.
Experience deploying machine learning models through APIs.
Knowledge of Spark or PySpark.
Experience working with large-scale datasets.

📌 Data Scientist 2 Hyderabad (India)
🏢 Talent join
📍 India