Job Summary

As a Data Scientist at Nectar, you will help build intelligent capabilities that power our core product platform. You will work with large volumes of IoT, operational, and enterprise data to develop predictive models, generate actionable insights, and create data-driven features that directly enhance customer experiences.

You will collaborate closely with AI engineers, data engineers, product managers, and domain experts to transform complex data into scalable product capabilities. This role offers an exciting opportunity to work at the intersection of Data Science, Artificial Intelligence, IoT, and real-time analytics.

Key Responsibilities

● Analyze large volumes of structured and unstructured data to identify patterns,

trends, and business insights.

● Develop, validate, and deploy machine learning models for prediction, classification,

anomaly detection, and optimization use cases.

● Build data-driven features that enhance Nectar's core product platform.

● Work with IoT and operational datasets to generate predictive insights and intelligent recommendations.

● Perform exploratory data analysis (EDA) to uncover opportunities for product improvements.

● Collaborate with AI Engineers and Data Engineers to productionize machine learning models.

● Design and evaluate experiments, model performance metrics, and statistical analyses.

● Develop dashboards, reports, and visualizations to communicate insights to technical and business stakeholders.

● Monitor model performance and continuously improve accuracy, reliability, and business impact.

● Ensure data quality, reproducibility, and best practices throughout the data science lifecycle.

● Stay up to date with advancements in Machine Learning, Generative AI, and applied data science.

Required Experience

● 1–3 years of hands-on experience in Data Science, Machine Learning, Analytics, or related roles.

● Strong programming skills in Python and SQL.





● Experience building and evaluating machine learning models using real-world datasets.

● Strong understanding of statistics, probability, and machine learning fundamentals.

● Experience with data analysis, feature engineering, and model evaluation techniques.

● Familiarity with supervised and unsupervised learning algorithms.

● Experience working with large datasets and data preprocessing techniques.

● Understanding of data visualization and storytelling principles.

● Basic understanding of cloud platforms such as AWS, Azure, or GCP.

● Solid analytical thinking and problem-solving abilities.

● Good communication and collaboration skills with the ability to work in cross-functional product teams.

Technical Expertise

● Programming Languages: Python, SQL

● Machine Learning: Regression, Classification, Clustering, Time Series Forecasting,

Anomaly Detection

● Libraries & Frameworks: Scikit-learn, Pandas, NumPy, XGBoost, TensorFlow, PyTorch

● Data Analysis & Visualization: Matplotlib, Plotly, Power BI, Tableau

● Statistics & Experimentation: Hypothesis Testing, A/B Testing, Statistical Modeling

● Data Processing: Pandas, PySpark, Feature Engineering

● Databases: PostgreSQL, MySQL, MongoDB

● Cloud Platforms: AWS, Azure, or GCP

● MLOps & Deployment: MLflow, Docker, Git, CI/CD (preferred)

● Generative AI (Preferred): LLM Fundamentals, Prompt Engineering, Embeddings

Education

● Bachelor's or Master's degree in Computer Science, Data Science, Statistics,

Mathematics, Engineering, or a related field.

● Relevant certifications or hands-on project experience in Machine Learning, Data

Science, or AI will be an added advantage.

Preferred Qualifications

● Experience working with IoT, telemetry, or sensor-generated datasets.

● Familiarity with time-series analysis and forecasting techniques.

● Exposure to Generative AI, LLMs, or Retrieval-Augmented Generation (RAG) concepts.

● Experience deploying machine learning models into production environments.

● Contributions to open-source projects, technical blogs, Kaggle competitions, or research initiatives are highly desirable.

📌 Data Scientist (Coimbatore)
🏢 nectar.
📍 Coimbatore