Data Scientist

Role Overview: As a Data Scientist, you will play a critical role in building and refining AI-driven solutions. You'll develop machine learning algorithms, analyze complex datasets, and deliver actionable insights to stakeholders. This position is ideal for individuals who are passionate about working in a dynamic, cross-functional team environment and eager to solve challenging analytical problems. Key Responsibilities: - Take ownership of design, development, and deployment of advanced algorithms and machine learning models to solve business-critical analytical challenges. - Develop, refine, and optimize Machine Learning (ML) algorithms from large datasets. - Represent data-driven outcomes in an intuitive and meaningful manner for stakeholders. - Write robust, efficient programs integrating offline or online ML models with other modules. - Collaborate with team members to design and implement scalable AI-powered solutions. - Identify opportunities for automation and optimization in existing workflows and develop solutions accordingly. - Mentor and provide technical guidance to junior data scientists and analysts. - Proactively contribute to the product roadmap by identifying opportunities for AI and data science innovation. - Stay updated with the latest developments in data science and machine learning technologies. Qualifications Required: - Education: B.Tech / MS / Ph.D. in Computer Science, Data Science, or a related field. - Experience: 4-6 years of hands-on experience in data science, machine learning, or analytics. - Proficient in Python, with strong skills in libraries such as pandas, NumPy, and scikit-learn. - Solid understanding of Machine Learning techniques, algorithms, and best practices. - Strong knowledge of SQL, data structures, and efficient query optimization. - Experience with data visualization tools like Power BI, Tableau, or Google Data Studio. - A grasp of generative AI concepts and their practical applications is desirable. - Prior experience in advertising technology or programmatic media buying is highly advantageous. Role Overview: As a Data Scientist, you will play a critical role in building and refining AI-driven solutions. You'll develop machine learning algorithms, analyze complex datasets, and deliver actionable insights to stakeholders. This position is ideal for individuals who are passionate about working in a dynamic, cross-functional team environment and eager to solve challenging analytical problems. Key Responsibilities: - Take ownership of design, development, and deployment of advanced algorithms and machine learning models to solve business-critical analytical challenges. - Develop, refine, and optimize Machine Learning (ML) algorithms from large datasets. - Represent data-driven outcomes in an intuitive and meaningful manner for stakeholders. - Write robust, efficient programs integrating offline or online ML models with other modules. - Collaborate with team members to design and implement scalable AI-powered solutions. - Identify opportunities for automation and optimization in existing workflows and develop solutions accordingly. - Mentor and provide technical guidance to junior data scientists and analysts. - Proactively contribute to the product roadmap by identifying opportunities for AI and data science innovation. - Stay updated with the latest developments in data science and machine learning technologies. Qualifications Required: - Education: B.Tech / MS / Ph.D. in Computer Science, Data Science, or a related field. - Experience: 4-6 years of hands-on experience in data science, machine learning, or analytics. - Proficient in Python, with strong skills in libraries such as pandas, NumPy, and scikit-learn. - Solid understanding of Machine Learning techniques, algorithms, and best practices. - Strong knowledge of SQL, data structures, and efficient query optimization. - Experience with data visualization tools like Power BI, Tableau, or Google Data Studio. - A grasp of generative AI concepts and their practical applications is desirable. - Prior experience in advertising technology or programmatic media buying is highly advantageous.