> Markdown version of [/jobs/ext/4705841-data-science-associate-involved-media-nyc](https://www.wearedevelopers.com/jobs/ext/4705841-data-science-associate-involved-media-nyc). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Science Associate | Involved Media | NYC - **Company:** AMS Inc. - **Location:** New York, NY, United States - **Experience:** Starter - **Salary:** $70,000 - $80,000 - **Contract:** Internship / Graduate position - **Skills:** Adobe Analytics, Artificial Intelligence, Data Analysis, Systems Engineering, Computer Programming, Databases, Google Analytics, Python (Programming Language), Open Source Technology, Power BI, SQL Databases, Large Language Models, Core Api, Information Technology - **Published:** November 13, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-science-associate-involved-media-nyc-new-york-ny--71ad24f1-eb14-4c98-8ff9-2e4206d508a8 ## About the Role Data Science, Campaigns, Predictive Modeling, Customer/Client Research, Data Science, Forecasting, Customer Support/Service, Weighting, Budget Management, Power BI, * Bachelor's or master's degree in Statistics, Applied Mathematics, Mathematics, Data Science, Computer Science, Operations Research, Econometrics or quantitative Economics, Biostatistics, Physics, or Industrial and Systems Engineering; master's degree preferred. * Coursework in probability and mathematical statistics, linear algebra, regression and statistical modeling, and programming; database or data-engineering coursework a plus. * Proficiency in SQL and Python or R. * Working knowledge of applied statistics and modeling, including regression, time-series forecasting, predictive modeling and experimental design. * 0-2 years of work experience; internships, research assistantships and thesis work are considered. * Demonstrated interest in automating repetitive processes. * Strong written communication skills, including the ability to explain technical methods to non-technical colleagues. * Interest in advertising, media and business performance; prior media experience is not required. Nice to Have * Experience with data modeling, dbt or workflow schedulers. * Power BI experience. * Experience with site analytics (Google Analytics, Adobe Analytics) or ad platform APIs. * Exposure to causal inference, marketing mix modeling or incrementality testing. * Experience using LLMs or AI tools to automate analysis or query data. * A thesis, research project or open-source work available for review. ## Description The Data Science Associate is an entry-level role on the Analytics team. The supports recurring client deliverables, automates repeatable analytics work, and helps build a structured, queryable database of campaign results. The Associate also uses knowledge of Client data and business to help Data Scientists scope and build forecasting and predictive models. What you'll doAnalytics & Reporting * Support recurring client deliverables, including weekly refreshes, post-log processing, station weighting, and monthly and quarterly reporting. * Maintain campaign pacing data and predictive budget tracking models; flag performance dips and efficiency changes to the team. * Build and maintain reporting in Power BI. * Summarize campaign results in clear, plain-language performance summaries for internal teams and clients. Forecasting & Predictive Modeling * Build and maintain forecasting models for client business results such as orders, enrollments, applications and donations, including budget scenarios and in-flight reforecasts. * Develop predictive models that estimate the impact of changes in media spend and mix, and identify performance shifts early. * Validate model accuracy against actual results, and document methods and assumptions. * Support Data Scientists by briefing on modeling, analysis and data requests. Automation & Data Quality * Document recurring workflows step by step and identify tasks that can be scripted, scheduled or automated with AI tools. * Replace manual checks with automated alerts and processes. * Establish QA and validation checks to identify tracking anomalies and reporting discrepancies. * Maintain documentation of client data sources, ownership, update frequency, tracking links and taxonomy mappings. Results Database & Projects * Help design and populate a structured, queryable database of campaign results across clients, including spend, delivery, response, outcomes and campaign context. * Ensure the team's analyses are captured in the results database. * Scope longer-term needs such as models, pipeline fixes or new dashboards; brief the Data Science and BI teams and track projects to completion.