Computational Mathematician

🕒 August 25

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👻 Ghost score 10%

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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Mobius Logic, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

⚖️ Legal

🏭 Manufacturing

Healthcare • Legal • Manufacturing

Mobius Logic, Inc. delivers AI ideas, innovation, and expertise that enable fast-growing companies and government agencies to create profitable, compliant, cloud-based systems and products around data. Founded on the love of solving complex problems, Mobius Logic’s team provides the needed ideas, innovation, and expertise that go into building complex AI systems to address critical issues across industries such as finance, life sciences, litigation, software, manufacturing, and government. The team members hold advanced degrees in data science and have extensive experience in developing large-scale, mission-critical software and AI solutions.

📋 Description

• Apply mathematical, statistical, and computational methods to complex business, scientific, engineering, and research problems • Develop, test, validate, and refine mathematical, statistical, and machine learning models for analysis, simulation, and prediction • Build simulation engines and tooling, develop simulation-environment models, and generate synthetic data for reinforcement learning and unsupervised machine learning • Analyze, process, and manipulate large structured and unstructured datasets • Design, build, and maintain data-driven solutions, analytical tools, and predictive models • Research and apply emerging technologies, methodologies, and analytical approaches • Translate stakeholder requirements into data solutions, metrics, dashboards, and visualizations • Perform numerical and statistical analyses supporting strategic and operational decisions • Apply feature engineering and model evaluation to improve performance and accuracy • Create reports, charts, dashboards, and visualizations communicating analytical findings • Support data quality, governance, metadata management, and data lineage practices • Collaborate on data security, access controls, and governance requirements • Develop software functions, scripts, and applications automating analyses and supporting data-driven decisions • Stay current on mathematics, machine learning, artificial intelligence, and data science advancements • Present technical findings and recommendations to technical and non-technical audiences • Contribute to thought leadership, research publications, conference presentations, and knowledge-sharing initiatives

🎯 Requirements

• Master’s degree or higher in Applied Mathematics, Computer Science, Engineering, Statistics or another technical or mathematical field • 3–5 years of experience • At least 2 years’ experience with Python, R, SAS, or another statistical programming language • Willingness to learn and adaptability to new procedures • Strong foundation in predictive modeling, optimization, and data governance standards • 3+ years of experience in data science, including mathematics, statistics, programming, and data modeling • 3+ years of experience in machine learning with images, sensor data, and text datasets • Experience solving complex problems using analytical or technical tools and techniques • Ability to collaborate with team members and communicate technical needs to and from full-stack developers and other team members • Ability to organize and present ideas accurately in written deliverables and develop tailored, client-ready documents • Experience building simulation engines and simulation tooling • Experience developing models within simulation environments • Experience generating synthetic data to train reinforcement learning and other unsupervised or self-supervised machine learning models • U.S. Citizenship is required

🏖️ Benefits

• Equal Opportunity Employer committed to diversity and inclusion in the workplace • Drug-free workplace