Calcium - Philadelphia, PA
posted 5 months ago
As a Senior Data Scientist at Calcium+Company, you will play a pivotal role in leveraging data and AI to inform and optimize our marketing strategies. Reporting to the SVP, Data, Analytics & AI Innovation, you will work closely with cross-functional teams to analyze complex data sets, develop predictive models, and provide actionable insights that enhance our clients' marketing efforts. This role requires a blend of technical expertise, business acumen, and a passion for driving innovation through data. In this hybrid role, you will be expected to spend a minimum of 2 days per week on-site at a Calcium+Company office or client location. Key responsibilities include conducting thorough analysis of large and complex data sets to extract meaningful insights, developing and implementing predictive models and machine learning algorithms to solve business problems, and performing hypothesis testing, A/B testing, and other statistical analyses to inform decision-making. You will also utilize AI techniques to improve data processing, pattern recognition, and predictive capabilities. In terms of data strategy and innovation, you will collaborate with stakeholders to understand business objectives and define data strategies that support these goals. Identifying opportunities to leverage data for new business opportunities and competitive advantages will be crucial, as will staying updated with the latest trends and advancements in data science, machine learning, and AI. Communication and collaboration are key aspects of this role, as you will present findings and insights to non-technical stakeholders in a clear and compelling manner. Working closely with marketing, technology, and creative teams to integrate data-driven insights into campaigns and projects is essential. Additionally, you will incorporate social listening insights to inform and optimize marketing strategies. You will also mentor and guide junior data scientists and analysts to foster a culture of continuous learning and improvement. Ensuring the integrity, accuracy, and consistency of data throughout the data lifecycle is vital, as is developing and maintaining data pipelines, ETL processes, and data infrastructure. Implementing best practices for data governance and compliance with relevant regulations will be part of your responsibilities, along with utilizing AI-driven tools for data quality and anomaly detection. In terms of tools and technologies, you will utilize Looker Studio for creating data visualizations and dashboards to support data-driven decision-making, leveraging comprehensive healthcare data, including EHR data, engagement data, marketing intelligence data, and more, to enhance research and strategy development. You will also implement and utilize AI and machine learning platforms to enhance data analysis and insights.