Associate Data Scientist

Country/Region: IN

Requisition ID: 36769

Work Model

Position Type

Salary Range

Location: INDIA \- PUNE \- BIRLASOFT OFFICE \- HINJAWADI

• *Title:** **Associate Data Scientist**

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Description

• *Area(s) of responsibility**
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• *Location:** Hyderabad / Bangalore / Pune / Noida (Hybrid)

• *Experience:** 5–12 Years

• *Employment Type:** Full\-Time

• *Role Overview**

We are seeking a highly skilled **Data Scientist** with strong expertise in **Artificial Intelligence (AI), Machine Learning (ML), and MLOps**. The ideal candidate will be responsible for building scalable predictive models, driving advanced analytics, and operationalizing ML models in production environments. This role requires a deep understanding of **statistical modeling, predictive analytics, and Python\-based data ecosystems**, with exposure to modern platforms such as **Databricks Mosaic AI and Snowflake Cortex** being an added advantage.

• *Key Responsibilities**

• Design, develop, and deploy **machine learning and AI models** for real\-world business problems.
• Perform **advanced statistical analysis** and build predictive models to derive actionable insights.
• Develop and implement **end\-to\-end ML pipelines**, including data ingestion, feature engineering, model training, validation, and deployment.
• Build and manage **MLOps frameworks** for continuous integration, delivery, monitoring, and model governance.
• Work closely with data engineering teams to ensure robust and scalable data pipelines.
• Conduct **exploratory data analysis (EDA)** and hypothesis testing to support data\-driven decision\-making.
• Optimize model performance through hyperparameter tuning and advanced techniques.
• Deploy and monitor models in production environments ensuring performance, reliability, and scalability.
• Collaborate with cross\-functional teams including business stakeholders, architects, and product owners.
• Stay updated with the latest advancements in AI/ML, GenAI, and data science tools and frameworks.

• *Required Skills \& Qualifications**

• Strong programming expertise in **Python** (NumPy, Pandas, Scikit\-learn, TensorFlow/PyTorch).
• Hands\-on experience in **Machine Learning \& AI algorithms** (supervised, unsupervised, deep learning).
• Expertise in **statistical analysis**, hypothesis testing, regression, classification, clustering, and forecasting models.
• Experience with **predictive modeling and advanced analytics** techniques.
• Solid understanding of **MLOps practices** including CI/CD pipelines, model versioning, monitoring, and deployment.
• Experience working with large\-scale datasets and distributed computing frameworks.
• Strong knowledge of **SQL** and data manipulation techniques.
• Familiarity with cloud platforms such as **AWS, Azure, or GCP**.

• *Good to Have**

• Exposure to **Databricks (Mosaic AI, MLflow, Delta Lake)**.
• Experience with **Snowflake Cortex / Snowflake ML capabilities**.
• Understanding of **Generative AI / LLM\-based applications**.
• Experience in **model explainability, fairness, and governance frameworks**.
• Knowledge of containerization tools like Docker and orchestration tools like Kubernetes.