Senior Data Scientist
Role details
Job location
Tech stack
Job description
As a Senior Data Scientist, you'll partner with the business leaders and diverse stakeholders to solve complex marketing challenges and deliver impact - from cross-channel media and customer experience optimization to segmentation, targeting and business strategy - through analytics, machine learning and statistical methods.
Day-to-day, your role includes:
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Translate complex marketing and business questions into clear, actionable analytical plans.
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Conduct extensive exploratory and statistical analyses to uncover actionable insights.
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Apply advanced machine learning, causal inference, and statistical techniques to optimize marketing strategies, campaign effectiveness, and customer experiences.
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Build and test scalable data pipelines and models for real-time applications.
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Summarize, visualize, communicate and document analytic concepts, processes and results for technical and non-technical audiences
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Collaborate cross-functionally to define analytical objectives, approaches, and timelines, ensuring alignment on goals and impact.
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Facilitate ownership and accountability by ensuring that the team is producing trustworthy and high-quality outputs that influence the decisions and direction of a variety of business areas.
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Proactively explore trends in marketing and digital performance and stay up-to-date with latest AI/ML advancements to surface future opportunities.
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Share knowledge, debate techniques, and conduct research to advance the collective knowledge and skills of our Data Science practice.
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Work independently and drive your own projects.
Requirements
We're seeking a Senior Data Scientist who is intellectually curious, creative, and eager to solve both familiar and novel data challenges. If you thrive on turning data into actionable insights and enjoy working in a fast-paced, collaborative environment, we want to hear from you., + MS or PhD in Computer Science, Statistics, Mathematics, or a related field
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+4 years of industry experience in data science and marketing field
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Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
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Experience in media performance analytics such as attribution modeling, incrementality testing and advance measurement methodologies.
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Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred)
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Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and DataProc
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Exceptional communication and presentation skills with technical and non-technical audiences; highly effective at developing meaningful stakeholder relationships and deep domain expertise.
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Comfort with ambiguity; ability to thrive with minimal oversight and process.
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Embodies Digitas values while bringing a new perspective to continue improving our culture.
Benefits & conditions
Compensation Range: $87,210 - $125,265. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 1/30/26.