REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Senior Principal Scientist, Tech Ops (CMC Science) - Recombinant
XX
Senior Data Scientist, Causal ScienceParamount Global Services • United States
Jetzt Bewerben
XX

Senior Data Scientist, Causal Science

Paramount Global Services
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

Senior Data Scientist, Causal Science
We are looking for a Senior Data Scientist to lead the evaluation strategy for our most dynamic personalization surfaces. Working closely with the Presentation Pod, you will ensure that visual optimizations for Artwork, Marquees, and Display items are spearheading true causal lift. You will be the primary scientific partner for validating high-velocity, Bandit-based systems. This is an Independent Contributor role, meaning you are trusted to solve ambiguous problems where standard A/B testing often fails. You will design and implement counterfactual analysis frameworks and off-policy evaluation methods to measure the performance of contextual bandits. You will raise the bar for the team by anticipating experimentation risks and mentoring junior analysts in the nuances of causal inference. Validating the Gateway: You ensure the Presentation pod's visual optimizations are statistically sound and causally effective. Bandit Mastery: You solve the unique task of evaluating "always-on" learning systems where traditional group-based splits are insufficient. Scientific Integrity: You protect the organization from "false wins" by applying rigorous counterfactual analysis and bias correction. Design Complex Experiments: Lead the design of experimentation frameworks for contextual bandits, focusing on reward definition and exploration strategies. Counterfactual Evaluation: Develop and scale off-policy evaluation (OPE) methods to estimate model impact before live deployment. Strategic Partnership: Act as the scientific consultant for the Presentation Pod, navigating the trade-offs between exploration and exploitation. Risk Mitigation: Proactively identify and fix potential biases in experimentation pipelines (e.g., selection bias or feedback loops). Mentorship: Provide technical guidance to junior analysts, fostering a culture of scientific rigor. Minimum: 5+ years in Data Science; expert knowledge of Causal Inference and counterfactual modeling. Proficient in Python and SQL Experience with Contextual Bandits. Off-Policy Evaluation (OPE); background in high-scale tech or AdTech. Hiring Salary Range: $130,200.00 - 195,300.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. Attractive compensation and comprehensive benefits packages. Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams. Opportunities for both on-site and virtual engagement events. Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
  • United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.

Jobbörse: 1'300 Jobs in deiner Nähe – vor Ort, hybrid oder remote