Applied Data Scientist

Rozgoo; Bengaluru; On-site; INR 1,400,000 - 2,400,000; Full time

Job summary

Rozgoo is seeking an Applied Data Scientist to develop, deploy, and optimise machine learning models that address real-world business challenges. You will partner with product managers, software engineers, and stakeholders to turn data into actionable insights and production-ready AI solutions.

The role involves analysing diverse datasets, building and validating predictive models, and designing scalable ML pipelines with a focus on monitoring and improvement of model performance in production

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 2-5+ years of experience in data science or machine learning.
• Strong programming skills in Python.
• Experience with SQL and relational databases.
• Solid understanding of statistics, probability, and machine learning algorithms.
• Experience with data visualisation tools such as Tableau, Power BI, or Matplotlib.
• Familiarity with cloud platforms (AWS, Azure, or GCP).

Responsibilities

• Analyse structured and unstructured datasets to identify trends and opportunities.
• Build, train, evaluate, and deploy machine learning and deep learning models.
• Develop predictive models for classification, regression, recommendation, and forecasting.
• Perform feature engineering, data preprocessing, and model validation.
• Design and implement data pipelines for scalable ML workflows.
• Collaborate with engineering teams to deploy models into production using MLOps practices.
• Monitor model performance, detect drift, and retrain models as needed.
• Communicate findings through dashboards, reports, and presentations.
• Stay current with advancements in AI, machine learning, and generative AI.

Skills

Python

SQL

Statistics

MLOps

Education

Bachelor's degree in CS/Data Science

Tools

Pandas

NumPy

Scikit-learn

XGBoost

TensorFlow

PyTorch

Matplotlib

Seaborn

Plotly

Spark

MLflow

Docker

Kubernetes

Airflow

Git

AWS SageMaker

Azure ML

Vertex AI

Job description

We are seeking an Applied Data Scientist to develop, deploy, and optimise machine learning models that solve real-world business problems. You will work closely with product managers, software engineers, and business stakeholders to translate data into actionable insights and production-ready AI solutions.

Responsibilities

Analyse structured and unstructured datasets to identify trends and opportunities.Build, train, evaluate, and deploy machine learning and deep learning models.Develop predictive models for classification, regression, recommendation, and forecasting.Perform feature engineering, data preprocessing, and model validation.Design and implement data pipelines for scalable ML workflows.Collaborate with engineering teams to deploy models into production using MLOps practices.Monitor model performance, detect drift, and retrain models as needed.Communicate findings through dashboards, reports, and presentations.Stay current with advancements in AI, machine learning, and generative AI.

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.2-5+ years of experience in data science or machine learning.Strong programming skills in Python.Experience with SQL and relational databases.Solid understanding of statistics, probability, and machine learning algorithms.Experience with data visualisation tools such as Tableau, Power BI, or Matplotlib.Familiarity with cloud platforms (AWS, Azure, or GCP).

Technical Skills

Languages: Python, SQLLibraries: Pandas, NumPy, Scikit-learn, XGBoostDeep Learning: TensorFlow or PyTorchVisualisation: Matplotlib, Seaborn, PlotlyBig Data: Spark (preferred)MLOps: MLflow, Docker, Kubernetes, AirflowVersion Control: GitCloud: AWS SageMaker, Azure ML, or Vertex AI

Preferred Skills

Experience with NLP, computer vision, or recommendation systems.Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering.Experience building AI applications using LangChain, LlamaIndex, or similar frameworks.Familiarity with vector databases such as Pinecone, Weaviate, Milvus, or FAISS.Understanding of CI/CD for machine learning pipelines.

Soft Skills

Strong analytical and problem-solving abilities.Excellent communication and presentation skills.Ability to collaborate across cross-functional teams.Business acumen and stakeholder management.Self-driven with a continuous learning mindset.

Preferred Experience

Deploying machine learning models to production.Working with end-to-end ML pipelines.A/B testing and experimentation.Experience with generative AI applications is a plus.

Success Metrics

Improved model accuracy and business KPIs.Reliable, scalable production ML systems.Reduced model deployment time.Actionable insights that drive business decisions.