Cardinal Path, a brand within Dentsu, a leading digital analytics and digital marketing consultancy firm. We are focused on delivering insight, understanding, and outcomes that create a competitive advantage for our clients. We engage at the strategic, business, and technical levels to generate tangible and quantifiable value for our partners. Our clients and affiliations include brands such as Google, Microsoft, Johnson and Johnson, Pfizer, Asics, and hundreds of others. Cardinal Path’s mission is: “To know. To Share. To be our Partners’ competitive advantage”. Our company strives for a culture that reflects the importance of our people’s expertise, wellness, and happiness in everything we do.
The Principal Consultant, Data Science will provide support for the growth of new and existing team members, which could include data scientists and analysts at all levels. You will also provide leadership as a subject matter expert, driving the growth of data science services, including the development of new service offerings. You are expected to deliver with excellent communication skills and will be evaluated on your relationship-building capabilities both internally within Cardinal Path as well as externally with clients, partners, vendors, contractors, etc. Work may include ad-hoc analysis of raw data, high-level model development, research into emerging analytics trends, presentation development, as well as technology research.
Duties & Responsibilities
Ongoing practice and process development looking for ways to improve and streamline to not only deliver a superior service to our clients, but also to improve our efficiency and profitability.
Mentoring/managing Data Science team members
Partner with Directors and sales support teams to educate clients on the value of adding Data Science products to their business, capturing & defining needs and solutions
Synthesize business needs and create business/functional design documents which can be used to build analysis and data models around.
Assess data for validity in terms of predictive capabilities, required feature engineering, opportunities for data widening, or alignment to business requirements
Develops, implements, and supports methodologies, standards, and tools for analysis and data science work.
Build cooperative, productive relationships with clients and vendors by utilizing excellent communication skills, while also interacting effectively internally and externally.
Research, prototype, and explore future, non-standard analytics approaches that push the limits of current analysis output. This will include exploring novel machine learning techniques which enable our teams to tackle segmentation, clustering, and predictive models used in a wide variety of areas.
Bachelor’s degree in Mathematics, Statistics, or related
6+ years experience as an Analyst / Data Scientist
4+ years of managerial and leadership experience
Advanced knowledge of Python or SAS for model development
Previous experience with web analytics tools such as Adobe and Google Analytics
Extensive experience with statistical modeling techniques
Experience connecting Tableau or other visualization systems and using for dashboarding or analysis
Self-motivated and ability to work independently in meeting deadlines
Exceptional written and verbal communication skills and is comfortable working with remote teams
What will make you stand out:
Previous experience with marketing analytics including database marketing techniques, campaign lift, attribution, and media mix modeling
Familiarity with analyzing data for digital marketing and eCommerce, as well as all other non-digital aspects of a business
SQL skills, R skills
Solid knowledge of ETL tools
Understanding of how to deal with larger data sets and parallel computing problems
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