Data Scientist

A rapidly expanding AI-powered customer analytics company focused on delivering deep customer insights and personalized experiences using cutting-edge artificial intelligence, machine learning, and data science techniques. Our solutions help businesses unlock the full potential of their customer data to drive growth, enhance customer experiences, and optimize marketing strategies. We are seeking a Principal Data Scientist to lead and shape our data science strategy and execution. This is a senior role for a visionary data science expert who can leverage AI to derive meaningful insights from large datasets and translate those insights into actionable business solutions. Key Responsibilities : Leadership & Strategy : Define and drive the overall data science vision, strategy, and roadmap. Lead and mentor a growing team of data scientists, analysts, and machine learning engineers. Collaborate closely with senior leadership to align data science initiatives with business objectives. Stay at the forefront of AI/ML developments to ensure our solutions remain competitive and innovative. Modeling & Analytics : Develop, implement, and maintain advanced statistical models, machine learning algorithms, and AI-driven solutions for customer analytics. Analyze large, complex datasets to extract insights that drive business outcomes. Identify trends and patterns in customer behavior and work cross-functionally to inform product recommendations, marketing campaigns, and operational improvements. Work with engineering teams to deploy models into production environments, ensuring scalability and robustness. Collaboration : Partner with product managers, engineers, and data engineers to develop data-driven features and products. Serve as a subject matter expert and provide guidance to stakeholders on data science methodologies and best practices. Communicate insights, results, and recommendations to both technical and non-technical stakeholders. Innovation & Experimentation : Lead innovation in the application of AI and machine learning in customer analytics, driving experimentation and new initiatives. Explore and implement cutting-edge techniques (e.g., reinforcement learning, deep learning, NLP) to solve complex business problems. Qualifications : PhD or Master’s degree in Data Science, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. 6 years of experience in data science, with significant expertise in AI/ML, predictive modeling, and customer analytics. Proven leadership experience, with a track record of building and managing high-performing data science teams. Strong proficiency in Python, R, SQL, and other data science/ML tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Strong business acumen and the ability to translate complex data insights into actionable strategies. Excellent communication and presentation skills with the ability to influence senior leadership. Preferred Qualifications : Experience working in fast-paced, high-growth tech companies or startups. Expertise in customer analytics, personalization, segmentation, and recommendation systems. Familiarity with natural language processing (NLP) and deep learning techniques. Hands-on experience deploying models in production environments, monitoring, and refining over time. Why Join Us? : Opportunity to work in a cutting-edge AI company revolutionizing customer analytics. Lead and grow a talented team of data scientists. Make a significant impact on the business and customer experience. Competitive salary, stock options, and benefits package. Collaborative, innovative, and data-driven work environment.