Data Science Specialist

About Cybage

Cybage Software Pvt. Ltd. is a technology consulting is a technology consulting organization specializing in outsourced product engineering services. As a leader in technology & product engineering space, Cybage works with some of the world’s largest Independent Software Vendors (ISVs). Our solutions are focused on modern technologies and are enabled by a scientific, data-driven system called Decision Mines for Digital Excellence

Key Responsibilities:

- Analyze historical video survey data (Purchase Intent, Brand Favourability, Facial Coding metrics, etc.) to identify performance drivers. - Develop predictive models that can forecast ad performance metrics based on creative features, audience segments, and historical trends. - Apply statistical, machine learning, and deep learning techniques to extract insights and build scalable prediction pipelines. - Collaborate with business stakeholders to translate requirements into technical solutions. - Design validation frameworks to benchmark predictive performance against actual survey outcomes. - Build dashboards/visualizations for business teams to interpret predictive outcomes. - Continuously refine and improve model accuracy by incorporating new data sources and feedback loops.

Required Skills & Experience:

- Bachelor’s/Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related fields. - 5–10 years of experience in machine learning / predictive analytics / data science. - Strong proficiency in Python/R, Pandas, Numpy & SQL and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). - Hands-on experience with predictive modeling, statistical modeling, regression, classification, and time-series forecasting. - Experience in feature engineering from unstructured data (e.g., video metadata, textual content, tags). - Familiarity with media/advertising analytics (ad effectiveness, consumer insights, brand lift studies) is a strong plus. - Strong SQL knowledge and experience with large datasets (10k+ records, multiple metrics). - Experience with computer vision (video/image analysis) for extracting features from creatives. - Excellent communication skills to explain technical results to non-technical stakeholders.

Nice to Have:

- Looking for Immediate joiners - Knowledge of cloud platforms (AWS) for model deployment and scaling. - Exposure to natural language processing (NLP) for analyzing ad scripts, captions, or metadata. - Experience with facial coding / emotion AI frameworks. - Previous experience in adtech, martech, or consumer research domains.