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Unity Technologies logo
Unity Technologies

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law.

Senior Data Scientist

Data ScientistData ScientistFull TimeRemoteSeniorTeam 5,001-10,000

Location

Canada

Posted

43 days ago

Salary

C$172.4K - C$215.5K / year

Seniority

Senior

Job Description

Senior Data Scientist

Unity Technologies

Role Description Unity’s Ads Experimentation Platform team is looking for a Staff Data Scientist to lead the evolution of how we validate and optimize our global advertising ecosystem. At Unity, our ads reach billions of devices, and the ability to rapidly iterate on machine learning models or ads delivery pipelines is critical to our growth. In this role, you will be the technical authority for our experimentation and evaluation roadmap. You will bridge the gap between advanced statistical methodology and large-scale engineering, building the tools that allow ML teams to iterate faster and with higher confidence. You will join a team focused on high-velocity innovation, moving beyond standard A/B testing into the next generation of causal inference and high-sensitivity evaluation methodologies. What you'll be doing - Advance A/B Testing Efficiency: Lead the implementation of variance reduction (CUPED) and sequential testing to increase platform sensitivity and speed. Develop strategies to mitigate interference and network effects, ensuring results reflect true causal impact in a complex auction environment. - Scale Ranking Evaluations: Architect and deploy interleaving frameworks to rapidly assess ranking model performance in real-time, enabling the team to identify winning candidates orders-of-magnitude faster than standard bucket testing. - Reduce Budget Cannibalization Effects: Design methodologies to account for finite advertiser budgets and prevent experimental groups from cannibalizing each other's spend. Develop pacing-aware evaluation techniques to maintain marketplace integrity and ensure unbiased results. - Define Long-Term Value (LTV) Proxy Metrics: Research and validate surrogate metrics that correlate highly with long-term user retention and value. Provide ML teams with short-term signals that accurately predict long-term impact, enabling faster optimization for long-term growth. - Drive Automated ML Experimentation: Build the statistical foundations for automated pipelines that autonomously test and select optimal features and hyperparameters, reducing manual engineering overhead and accelerating the deployment of high-performing models at scale. - Cross-Functional Technical Leadership: Serve as the lead subject matter expert on experimentation for ML, Product, and Engineering teams, ensuring statistical rigor is integrated throughout the product lifecycle, from initial model training to live production auctions. Qualifications - 8+ years of experience in Data Science or Applied Research, specifically within Ad Tech, Marketplaces, or high-scale experimentation platforms. - An MS or PhD in a quantitative field (Statistics, Economics, Computer Science, Operations Research, or equivalent). - Deep expertise in causal inference, experimental design, and frequentist/Bayesian statistics, with a proven track record of applying these to high-volume, real-time data. - Strong programming skills in Python or Scala, and experience with large-scale data processing frameworks like Spark, Snowflake, or BigQuery. - Practical experience implementing advanced testing methodologies like CUPED, interleaving, or switchback testing in production environments. - Ability to translate complex statistical concepts into clear product roadmaps and mentor engineering teams on experimental rigor. Requirements - Experience building or maintaining internal experimentation platforms at a major tech company. - Familiarity with the unique challenges of long-term value (LTV) prediction and surrogate metric design in mobile gaming or digital advertising. Benefits - Comprehensive health, life, and disability insurance - Commute subsidy - Employee stock ownership - Competitive retirement/pension plans - Generous vacation and personal days - Support for new parents through leave and family-care programs - Office food snacks - Mental Health and Wellbeing programs and support - Employee Resource Groups - Global Employee Assistance Program - Training and development programs - Volunteering and donation matching program

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Senior Clinical Data Science Lead

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ICON plc logo

Clinical Data Science Lead

ICON plc

ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster. As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers.

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Full TimeRemoteTeam 10,001+Since 1990H1B No Sponsor

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(c) Leads data review, including query management, and leads activities required for interim and final database locks. * Participates in preparing function for submission readiness and may represent function in a formal inspection or audit. * Ensure archival and inspection readiness of all Data Management Trial Master File (TMF) documents. * Tracks study deliverables and evaluates study metrics to mitigate risk for major data management deliverables and milestones. * Responsible for the planning and management of external Data Management budgets and timelines to ensure accuracy, understand trends in variances and support continuous improvement in forecasting. * May prepare metrics to support the function’s KPIs. * Contributes to functional Continuous Improvement initiatives, providing expertise and ensuring deliverables are provided on time, to budget, and in alignment with company, departmental or functional requirements. * Works cross-functionally to ensure the quality of the data in each database and on time delivery, as well as quality of other data management deliverables * Champions and adopts technology improvements and tools for use in clinical data management processes. 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