Data Scientist

🕒 February 26

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

👻 Ghost score 64%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Epistemix

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 $7M Series A - Epistemix on 2024-06

Consulting • Healthcare • Marketing

Epistemix is a SaaS decision-making platform that uses large synthetic population and agent-based simulation models, AI, and inference to help organizations test scenarios, forecast trends, and optimize interventions in low-data and uncertain environments. Customers overlay their data on representative 1:1 synthetic populations to generate consumer insights, forecast adoption and tipping points, and run scenario planning for marketing, public health, pharmaceuticals, and policy decisions to reduce risk and improve outcomes.

📋 Description

• Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact • Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making • Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases • Provide guidance for proposals on feasibility of scope and how to ensure impact • Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform • Engage with customer users to provide informal support, tips, and troubleshooting • Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans • Participate in reviews with customers to document and improve measurable impact • Provide feedback to Product and Sales teams to align offerings with customer needs • Follow advancements in data science, machine learning, and healthcare analytics

🎯 Requirements

• Commitment to understanding customer needs and helping them achieve goals • Creative mindset with a passion for tackling challenging problems with data • Ability to collaborate with diverse users and internal teams • Strong communication skills: verbal, code, visualizations, and maps • Strong foundation in machine learning, data modeling, and predictive analytics • Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred • Comfort working in a dynamic environment with evolving priorities and customer needs • Proficiency in Python and associated data science technologies • Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools • Expertise in SQL or NoSQL databases preferred • 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience) • Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field • Experience with more than one company size or business stage preferred • Must be legally authorized to work in the United States and not require employer sponsorship now or in the future.

🏖️ Benefits

• Equity & Incentives – Participation in our stock option program. • Flexible Time Off – Autonomy to manage your schedule and work-life balance. • Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees). • Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.