We are looking for a skilled and analytical Data Scientist to join our growing data team. The ideal candidate will be responsible for analyzing complex datasets, developing predictive models, and applying machine learning techniques to solve real-world business problems. You will collaborate with cross-functional teams to transform data into actionable insights and scalable data-driven solutions.

Key Responsibilities Collect, clean, process, and analyze large and complex datasets

Build and optimize machine learning and predictive models

Perform exploratory data analysis (EDA) to identify trends, patterns, and opportunities

Develop statistical models to support business decision-making

Perform feature engineering, model training, validation, and evaluation

Design data visualizations and communicate insights to stakeholders

Work with engineering teams to deploy models into production

Develop and maintain reusable data pipelines and analytical workflows

Monitor model performance and improve models based on new data

Collaborate with product, engineering, and business teams to define data-driven solutions

Document methodologies, experiments, models, and analytical findings Required Skills & Qualifications 2–5 years of experience in Data Science, Machine Learning, or a related role

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



or a related field

Strong proficiency in Python

Strong knowledge of SQL and relational databases

Experience with Pandas, NumPy, Scikit-learn and other data science libraries

Solid understanding of Machine Learning algorithms and statistical modeling

Knowledge of regression, classification, clustering, and time-series techniques

Experience with data visualization tools and libraries

Strong understanding of statistics, probability, and experimental design

Excellent analytical and problem-solving abilities

Good communication and stakeholder management skills Preferred Qualifications Experience with TensorFlow, PyTorch, or other Deep Learning frameworks

Knowledge of Natural Language Processing (NLP) and Generative AI concepts

Experience with AWS, Azure, or Google Cloud Platform (GCP)

Familiarity with Spark or other Big Data technologies

Understanding of MLOps, model deployment, and monitoring

Experience with Docker, Git, and CI/CD workflows

Familiarity with data warehousing and ETL/ELT processes What We Offer 100% Remote Work

Flexible Working Hours

Competitive Salary Package

Learning & Professional Development Opportunities

Career Growth and Mentorship

Collaborative and Data-Driven Work Environment

Chance to Work on Real-World AI & Machine Learning Projects

📌 Data Scientist (India)
🏢 Webkit24
📍 India