Data Scientist
In this role, you will be at the forefront of our mission, leveraging sophisticated machine learning and AI to deliver a comprehensive understanding of audience behavior.
In this role, you will be at the forefront of our mission, leveraging sophisticated machine learning and AI to deliver a comprehensive understanding of audience behavior. You will architect and implement AI/ML systems that unlock novel insights from complex audience data.
Skills : ● Strong understanding and experience in classical Machine Learning algorithms and techniques. ● Demonstrated ability to work with high motivation and agility in a dynamic environment. ● Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. ● Programming Languages: ○ Python (Expert): Strong proficiency in Python with extensive experience in libraries such as: Scikit-learn, Pandas & NumPy, Matplotlib, Seaborn, SciPy. ○ Deep Learning Libraries: Strong proficiency in Tensor flow, Keras and Pytorch. . ● Classical Machine Learning Expertise: ○ Thorough understanding of supervised learning (e.g., Linear Regression, Logistic Regression, Decision Trees, Random Forests, Gradient Boosting Machines like XGBoost/LightGBM/CatBoost, SVMs, Naive Bayes, K-Nearest Neighbors). ○ Proficiency in unsupervised learning techniques (e.g., K-Means, hierarchical clustering, PCA). ○ Knowledge of ensemble methods and their practical application. ● Statistical Modeling: Strong grasp of statistical concepts including hypothesis testing, probability distributions, regression analysis, and inferential statistics. ● Data Preprocessing & Feature Engineering: Proven ability to handle missing data, outliers, categorical variables, scaling, normalization, and create impactful features from raw data. ● Model Evaluation & Validation: Hands-on experience with cross-validation, regularization techniques, hyperparameter tuning (e.g., GridSearchCV, RandomizedSearchCV), and understanding of various evaluation metrics for classification and regression. ● Optimisation techniques: One of the positions should have Hands-on experience in optimisation and production grade optimiser. ● SQL: Solid proficiency in SQL for data extraction, manipulation, and analysis from relational databases. ● Version Control: Experience with Git and collaborative development workflows. ● Problem-Solving: Excellent analytical and problem-solving skills with the ability to break down complex problems into manageable components. ● Communication: Strong verbal and written communication skills to articulate technical concepts and insights effectively.
Responsibilities :
Posted July 24, 2026