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itD · 5 hours ago

Data Scientist - 5620

United States

Part-time

Remote

Mid, Senior Level

4+ years exp

itD is seeking a Data Scientist to help align our App Ads delivery stack with advertiser-perceived performance. This role plays a key part in shaping the future of App advertising by applying deep analytical and machine learning expertise to complex problems.

ConsultingInformation TechnologyIT ManagementProfessional ServicesSaaSSoftwareSoftware Engineering

Growth Opportunities

No H1B

Responsibilities

Analyze end-to-end App Ads delivery performance to identify gaps between system outcomes and advertiser-perceived results

Develop and execute data analyses to evaluate attribution, ranking, and delivery behavior across the ads stack

Partner with cross-functional teams (engineering, product, data science) to define metrics, experiments, and success criteria

Apply machine learning and statistical techniques to improve modeling, measurement, and decision-making within ads systems

Investigate ambiguous problem spaces, form hypotheses, and translate findings into clear, actionable recommendations

Communicate insights and results to senior stakeholders with clarity and technical rigor

Attend regular internal practice community meetings

Collaborate with your itD practice team on industry thought leadership

Complete client case studies and learning material (blogs, media material)

Build out material to contribute to the Digital Transformation practice

Attend internal itD networking events (in person and virtual)

Work with leadership on career fast-track opportunities

Qualification

Data analysisMachine learningSQLPythonRAdvertising systemsTechnical communicationProblem-solving

Required

4+ years of professional experience in a data science or analytics role (IC5-scoped)

Strong experience with data querying languages (e.g., SQL)

Proficiency in scripting languages such as Python and/or statistical tools such as R

Demonstrated experience working with machine learning systems in production or applied environments

Ability to operate effectively in technically complex and highly ambiguous problem spaces

Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, or a related technical field, or equivalent practical experience required