Job
Description
Company Description Silverpush is at the forefront of AI-powered video advertising, delivering sophisticated ad solutions that empower brands to achieve impactful campaigns within a privacy-centric environment. Operating across 30+ countries, we specialize in creating contextually relevant advertising experiences that drive genuine engagement and conversion. Our commitment to innovation and technological advancement enables us to navigate the evolving digital landscape, providing tools necessary to connect with audiences globally. We are dedicated to fostering a culture of creativity and excellence, driving the future of ad tech. Role Description This is a full-time on-site role for a Data Scientist, located in Gurgaon. The ideal candidate will combine strong technical expertise with an AI-driven mindset, leveraging both traditional data science methods and cutting-edge AI tools to drive business impact. This role requires someone who can work independently while collaborating effectively across cross-functional teams to solve complex business problems. Key Responsibilities Analyze complex datasets to identify trends, patterns, and correlations, and extract actionable insights that can inform strategic decisions. Design and build predictive models using statistical and machine learning techniques (e.g., regression, classification, XGBoost, clustering). Research and develop analysis and forecasting and optimization methods across ads performance, content performance, and live experiments. Build and maintain automated data pipelines and analytical workflows Research and prototype using cutting-edge LLM technologies and generative AI to unlock new opportunities in personalization, targeting, and automation. Stay current with emerging AI technologies and evaluate their potential application to business problems Communicate complex findings to non-technical audiences through compelling visualizations and presentations Provide strategic recommendations based on data-driven insights to influence key business decisions Design and execute A/B tests and experiments to measure impact of business initiatives Work with engineering teams to productise models and ensure scalable deployment Maintain code quality standards and follow best practices for version control and documentation Optimize model performance and monitor deployed solutions for accuracy and reliability Ideal Candidate Profile 3+ years of experience in Data Science, ideally in advertising or media-related domains. Degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Masters in DS). Deep experience working with large-scale structured and unstructured data. Strong foundation in machine learning and statistical modeling. Familiar with building and deploying models in production (basic MLOps knowledge). Comfortable with NLP and computer vision, and interested in applying LLMs to real-world use cases. Familiarity with generative AI tools and prompt engineering for analytical workflows Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Strong problem-solving skills and ability to work independently Technical Skills Languages & Tools : Python, PySpark, SQL ML Techniques : Regression, Classification, Clustering, Decision Trees, Random Forests, XGBoost, SVM LLM Tech : Familiarity with tools like OpenAI, Hugging Face, LangChain, and prompt engineering Data Infrastructure : ETL tools, Postgres, BigQuery/Snowflake, S3/GCP Statistical Analysis : A/B testing, experiment design, causal inference Show more Show less
