About the Role

We are looking for an experienced Data Scientist with strong expertise in machine learning, statistical modeling, Python, SQL, and cloud-based data platforms. The ideal candidate should be able to work with large-scale structured and unstructured datasets, build predictive models, generate actionable insights, and collaborate with cross-functional business and technology teams to solve complex business problems.

Key Responsibilities

- Analyze large and complex datasets to identify trends, patterns, and business opportunities.
- Build, validate, and deploy machine learning and statistical models for prediction, classification, clustering, and forecasting.
- Develop time-series forecasting models and evaluate model performance using appropriate metrics.
- Perform data preprocessing, feature engineering, exploratory data analysis (EDA), and model tuning.
- Design and implement data pipelines and reusable analytical frameworks.
- Collaborate with business stakeholders, product teams, and data engineers to translate business requirements into analytical solutions.
- Create dashboards, reports, and visualizations to communicate insights effectively to technical and non-technical audiences.
- Monitor model performance in production and continuously improve accuracy and reliability.
- Ensure adherence to data governance, security, and quality standards.

Required Skills & Qualifications
- 6 to 10 years of experience in Data Science, Machine Learning, or Advanced Analytics.




- Strong proficiency in Python and SQL.
- Hands-on experience with Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar ML libraries.

- Solid understanding of

- Machine Learning Algorithms

- Statistical Analysis

- Predictive Modeling

- Feature Engineering

- Model Evaluation Techniques

- Time Series Forecasting
- Experience working with cloud platforms such as Azure, AWS, or GCP.
- Familiarity with big data technologies such as Spark, Databricks, or Hadoop is an added advantage.
- Experience with Power BI, Tableau, or other visualization tools.
- Robust problem-solving, analytical thinking, and communication skills.

Preferred Qualifications
- Bachelors or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Experience in domains such as Retail, E-commerce, Supply Chain, Finance, Healthcare, or Manufacturing is preferred.
- Exposure to MLOps, model deployment, CI/CD pipelines, and containerization (Docker/Kubernetes) is a plus.
- Understanding of Generative AI, NLP, or LLM-based analytical solutions will be an added advantage.

What We Offer
- Opportunity to work on large-scale, real-world data science problems.
- Exposure to advanced analytics, AI/ML, cloud, and modern data platforms.
- Collaborative and innovation-driven work environment.
- Career growth opportunities with challenging and impactful projects.

📌 Data Scientist (Bengaluru)
🏢 Senzcraft Technologies
📍 Bengaluru