

What You’ll Do:
As a Data Scientist, you will work closely across DeepIntent Analytics teams located in New York City, India, and Bosnia. The role will support internal and external business partners in defining patient and provider audiences, and generating analyses and insights related to measurement of campaign outcomes, Rx, patient journey, and supporting evolution of DeepIntent product suite. Activities in this position include creating and scoring audiences, reading campaign results, analyzing medical claims, clinical, demographic and clickstream data, performing analysis and creating actionable insights, summarizing, and presenting results and recommended actions to internal stakeholders and external clients, as needed.
- Explore ways to to create better audiences
- Analyze medical claims, clinical, demographic and clickstream data to produce and present actionable insights
- Explore ways of using inference, statistical, machine learning techniques to improve the performance of existing algorithms and decision heuristics
- Design and deploy new iterations of production-level code
- Contribute posts to our upcoming technical blog
Who You Are:
- Bachelor’s degree in a STEM field, such as Statistics, Mathematics, Engineering, Biostatistics, Econometrics, Economics, Finance, OR, or Data Science. Graduate degree is strongly preferred
- 3+ years of working experience as Data Analyst, Data Engineer, Data Scientist in digital marketing, consumer advertisement, telecom, or other areas requiring customer level predictive analytics
- Background in either data engineering or analytics
- Hands on technical experience is required, proficiency in performing statistical analysis in Python, including relevant libraries, required
- You have an advanced understanding of the ad-tech ecosystem, digital marketing and advertising data and campaigns or familiarity with the US healthcare patient and provider systems (e.g. medical claims, medications)
- Experience in programmatic, DSP related, marketing predictive analytics, audience segmentation or audience behaviour analysis or medical / healthcare experience
- You have varied and hands-on predictive machine learning experience (deep learning, boosting algorithms, inference)
- Familiarity with data science tools such as, Xgboost, pytorch, Jupyter and strong LLM user experience (developer/API experience is a plus)
- You are interested in translating complex quantitative results into meaningful findings and interpretable deliverables, and communicating with less technical audiences orally and in writing

About DeepIntent
About
DeepIntent is the leading independent healthcare marketing technology company built purposefully to influence patient health and business outcomes. The DeepIntent Healthcare Marketing Platform is the first and only platform that uniquely combines real-world health data, premium media partnerships, and custom integrations to reach patients and providers across any device. This enables healthcare marketers to plan, activate, optimize and measure campaigns that drive measurable patient and business outcomes, all within a single platform. DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data.
Tech stack

Candid answers by the company
The DeepIntent Healthcare Marketing Platform is the first and only platform that uniquely combines real-world health data, premium media partnerships, and custom integrations to reach patients and providers across any device. This enables healthcare marketers to plan, activate, optimize and measure campaigns that drive measurable patient and business outcomes, all within a single platform.
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Creating a diverse and inclusive workplace is one of KeepTruckin's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.Please review our Candidate Privacy Notice here. ( https://drive.google.com/file/d/1Xs7GivrHCj05XC6-mn6MsRGG3V5AcgZ5/view?usp=sharing )


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