Experience: ideally ~4-7 years

- Must have data science knowledge as it relates to marketing measurement (ex: what are the correct elements that fit into where their marketing efforts are now in their maturity curve). Experience in marketing measurement (experimentation, marketing mix modeling, and attribution) are key!

- Have academically done a marketing mix model or A/B testing but understand it well enough when to use certain tools instead of others.

- Important skills include critical thinking, problem solving, and rigor that you put into your process (approach it thoughtfully -- maybe not following the formula but exploring your instincts and critical thinking)

TOP PRIORITIES: Strong SQL skills + Visual Data Presentation (Tableau, PowerBI, or Looker) + Ability to present the storytelling of the findings in the data

Bonus Points:

- Any understanding of AI would be helpful because that's a current gap on the team. *Beyond ChatGPT or even understanding how to legally/responsively/accurately leverage ChatGPT

- Coding (R or Python) and/or machine learning skills

-- Healthcare experience takes a backseat to data science experience

Responsibility highlights on a daily basis--

- As the MarTech team implements their new Hub and Spoke marketing integration model, they are seeking a leader of the 'hub' since it acts as the centralized part of the team handling more advances analytics (not the usual day-to-day).

- With cookies going away, this person will play a key role on the MarTech team's shift to marketing mix modeling.

- The right person for this position would be able to tell the team what different marketing measurement tools can do and also what they can't. They will be expected to educate leadership on when certain tools should be used where others' technology stops.


This role is hybrid, with 2 days onsite at their Long Island (near the NYC border) office, and 3 days remote.

#LI-beaton