Senior Marketing Data Scientist (Remote)

at  CivicScience

DO YOU DREAM ABOUT DATA?

Every day, CivicScience gathers opinions from millions of consumers on thousands of topics that provide high-velocity insights to leading brands such as Apple, Microsoft, Bank of America, McDonald’s, and T-Mobile. If there’s a question critical to the marketing strategy of the Global 2000, CivicScience has the data.
Leveraging its success in integrating AI and ML into its platform, CivicScience seeks a Senior Marketing Data Scientist to lead work that creates predictive models and forecasts for customers by using our exclusive database of 5+ billion consumer insights.

PREFERRED QUALIFICATIONS

• MS in a technical field and/or PhD in data science, computer science, physics, economics, engineering, mathematics, operations research or statistics.
• 5+ years of experience in data science with a strong focus on machine learning and deep learning in a commercial setting; startup experience, a plus
• 2+ years of managerial experience, leading high-performance technical teams.
• Proven customer interaction skills, including presentations and support for commercial teams.
• Proficiency in Python and SQL; adept at learning new technologies.
• Experience with big data technologies like Apache Spark or Flink, as well as cloud data platforms; experience building applications using generative AI, a plus
• Skilled in data manipulation and exploration of large datasets.
• Innovative thinker with a track record of technology-driven problem-solving.
• Experience in collaborating with engineering to develop tools supporting data science.
• Expert in statistical methods and experimental design.
• Excellent communication and leadership skills; ability to engage with senior management.
• Positive and proactive attitude, capable of finding creative solutions to overcome challenges.
• Familiarity with market research, consumer data, and data consulting is a plus.

• Design and implement advanced predictive models using machine learning and deep learning techniques
• Analyze large datasets to identify trends, patterns, and insights, using statistical techniques
• Develop prototypes for new data products using Python and SQL
• Collaborate with product management and engineering teams to integrate data-driven solutions into our products
• Lead projects and mentor junior data scientists to promote a culture of data-driven decision making
• Stay updated on the latest industry trends in data science and machine learning, applying best practices to our processes
• Identify new business opportunities and leverage data for value creation