Senior Analyst II, Data Scientist US Posted ago

Let's be unstoppable together!

Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data® platform help clients measure market share, uncover consumer behavior, and drive growth--powered by six decades of expertise and an expansive, high-quality data set.

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We're a global company dedicated to fostering inclusivity and belonging. We value and celebrate the unique experiences, cultures, and viewpoints that each individual brings.

By embracing a wide range of backgrounds, skills, expertise, and beyond, we create a stronger, more innovative environment for our employees, clients, and communities. With us, you can always bring your full self to work. Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified™ by Great Place To Work®.

This prestigious award is based entirely on what current employees say about their experience working rn more at

This position is part of Data Science Research within CPG Americas. Data Science Research is responsible for researching, developing, and maintaining the algorithms & methodologies that fuel Circana's core Omni Market deliverables. This particular position is part of a team whose principal focus is enhancing existing solutions and developing new, innovative products.

The Data Scientist will report to a Consultant as part of a team of individual contributors.

• Define and lead customized research projects to develop and enhance Circana's methodologies and algorithms
• Analyze, interpret, and evaluate existing solutions in an effort to identify incremental improvement opportunities
• Develop and test architectures that enable data extraction and transformation across a multitude of platforms
• Collaborate with Technology and Product Management to product ionize and deploy solutions
• Independently investigate and resolve production and client data issues
• Provide accurate and timely data analysis and methodology support focused on internal and external client requests
• Use SQL, Python, R to write, validate and maintain code to support research and data analyses
• Document processes and procedures
• Present research findings to internal clients

• Bachelor's degree in analytical field (Master's degree a plus)
• Experience with data mining/manipulation in SQL and Python (programming background a plus)
• Conceptual knowledge of data science concepts and statistical methodologies
• Curious and logical in the pursuit of identifying cause-and-effect relationships
• Self-starting, critical thinker with a proactive disposition
• Positive, team player with the capability to problem-solve independently
• Clear, concise, and transparent verbal communication and interpersonal skills

• Stay Curious:
  Being hungry to learn and grow, always asking the big questions.
• Seek Clarity:
  Embracing complexity to create clarity and inspire action.
• Own the Outcome:
  Being accountable for decisions and taking ownership of our choices.
• Center on the Client:
  Relentlessly adding value for our customers.
• Be a Challenger:
  Never complacent, always striving for continuous improvement.
• Champion Inclusivity:
  Fostering trust in relationships engaging with empathy, respect, and integrity.
• Commit to each other:
  Contributing to making Circana a great place to work for everyone.

This position can be located in the following area(s):
Remote

The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic…