Data Scientist
Listed on 2026-01-05
-
IT/Tech
Data Analyst, Data Scientist
Data Scientist – App Ads Delivery
itD is seeking a Data Scientist to help align our App Ads delivery stack with advertiser‑perceived performance, driving measurable improvements across a critical area of the advertising business. This role plays a key part in shaping the future of App advertising by applying deep analytical and machine learning expertise to highly ambiguous, technically complex problems.
Location: Remote (U.S. only), preference for PST working hours.
Estimated
Start Date:
January 19, 2026
Duration: 9 months (LOA backfill; potential for extension)
We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more. This position is open to direct W2 candidates; sponsorship is not available.
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 the itD practice team on industry thought leadership.
- Complete client case studies and learning material (blogs, media).
- 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.
- 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.
- Prior experience working on advertising systems or ads‑related measurement problems.
- Experience in the mobile app or app monetization ecosystem.
- Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, or a related technical field, or equivalent practical experience required.
itD is part of a new generation of consulting and software development companies that blend diversity, innovation, and integrity with real business results. We are a woman‑ and minority‑led firm that empowers our teams to deliver excellent outcomes without strong hierarchies. Our culture is built on fairness, consideration, and a continual rethinking of what great outcomes mean for our customers.
Joining us means you’ll be part of a global community with a say in your career journey and the opportunity to give back to causes that matter. You will work with Fortune 500 companies and high‑performance teams across numerous industries.
We offer excellent benefits including medical, dental, vision, life insurance, paid holidays, 401(k) + matching, networking and career learning & development programs.
Equal Employment OpportunityAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, in accordance with applicable law.
itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If you need a reasonable accommodation for any part of the application process or to perform essential functions of the position, please contact us at
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).