[Hiring] Senior Supervisor, Information Science @DoubleVerify

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Rockerbox empowers advertising and marketing executives to confidently make data-driven selections, serving to manufacturers comparable to Tula, Figs, and Burton with the strategic decision-making that drives development. To take action, Rockerbox provides a singular suite of product traces that centralize information and supply diversified measurement methodologies. The inspiration of Rockerbox’s resolution is information centralization. Atop this basis, the platform permits entrepreneurs to select from a spread of measurement methodologies, giving clients the flexibleness to decide on probably the most acceptable method for his or her particular wants and questions.

 

Concerning the Function:

As Senior Supervisor, Information Science at Rockerbox, you’ll lead and scale our information science workforce whereas additionally contributing as a hands-on practitioner. This position is a player-coach place, balancing management obligations with direct execution in function improvement for testing, MMM, and multi-touch attribution (MTA). You’ll drive the strategic evolution of our information science initiatives, mentor a workforce of gifted information scientists, and be certain that our methodologies stay cutting-edge. If you happen to thrive in a fast-paced atmosphere the place you’ll be able to each handle and construct, this position is for you.

 

Obligations:

  • Lead and mentor our lean information science workforce, fostering development and technical excellence
  • Personal function improvement for testing, MMM, and MTA fashions, making certain methodological rigor and scalability
  • Act as a hands-on contributor, creating statistical fashions and validating approaches for each testing and attribution
  • Work cross-functionally with engineering and product groups to combine information science options into Rockerbox’s platform
  • Drive greatest practices in mannequin validation, experiment design, and information pipeline effectivity
  • Establish alternatives to leverage AI and machine studying for enhanced insights and automation
  • Collaborate with management to outline workforce development, hiring wants, and strategic priorities

 

Necessities:

  • 7+ years of expertise in information science, analytics, or machine studying, with no less than 1-2 years in a management position.
  • Robust proficiency in Python, SQL, and cloud-based information platforms.
  • Deep understanding of statistical modeling, causal inference, and regression methods.
  • Fingers on expertise working with Bayesian modeling.
  • Expertise in function improvement for MTA fashions and testing methodologies; expertise with advertising and marketing information and client enterprise KPIs.
  • Capacity to rent, handle, and mentor information scientists whereas contributing as an IC.
  • Robust communication expertise to successfully collaborate with engineers, product groups, and stakeholders.

 

Why You’ll Love Rockerbox:

At Rockerbox, you’ll discover a fast-paced, results-driven atmosphere the place your work has a direct influence on our development and the success of our purchasers. Our iterative improvement course of means you’ll see your contributions come to life rapidly. You’ll be part of a supportive, light-hearted workforce that values collaboration and innovation. We’re dedicated to skilled development and can actively help your improvement in each technical and enterprise domains.

 

The profitable candidate’s beginning wage might be decided primarily based on quite a few non-discriminating elements, together with {qualifications} for the position, degree, expertise, expertise, location, and balancing inner fairness relative to friends at DV.
The estimated wage vary for this position primarily based on the {qualifications} set forth within the job description is between [$128,000 – $230,000]. This position can even be eligible for bonus/fee (as relevant), fairness, and advantages.
The vary above is for the expectations as specified by the job description; nonetheless, we are sometimes open to all kinds of profiles, and recognise that the individual we rent could also be kind of skilled than this job description as posted.

Not-so-fun truth: Research exhibits that whereas males apply to jobs once they meet a median of 60% of job standards, ladies and different marginalized teams are inclined to solely apply once they examine each field. So in the event you suppose you may have what it takes however you’re undecided that you simply examine each field, apply anyway!



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