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Data Scientist
Champions Funding LLCData Scientist developing machine learning and AI solutions for business challenges at Champions Funding. Collaborating across departments to translate objectives into analytical solutions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying machine learning models, utilizing advanced AI techniques, and analyzing complex datasets to drive business insights and operational improvements. Strong ability to communicate technical concepts to diverse stakeholders and ensure responsible implementation of predictive models.
Highest-signal resume keywords
Machine Learning AlgorithmsPredictive ModelingPython ProgrammingLarge Language Models (LLMs)Cloud Computing Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
StatisticsPredictive ModelingMachine LearningData AnalysisModel EvaluationDeep LearningMLOpsData Pipeline DevelopmentModel GovernanceRegulatory Compliance
Soft Skills
CommunicationCollaborationProblem-SolvingJudgmentAdaptability
Tools & Technologies
Data Science ToolsCloud PlatformsAI TechnologiesMachine Learning FrameworksBusiness Intelligence Tools
Industry Keywords
Financial ServicesMortgage LendingRegulated IndustriesModel Risk Management
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Design, develop, and evaluate machine learning, statistical, and predictive models to solve complex business challenges across multiple departments.
- Apply modern artificial intelligence and machine learning techniques, including large language models (LLMs), generative AI, and advanced analytics, to automate processes, enhance decision-making, and generate business insights.
- Translate business objectives into well-defined analytical, statistical, and machine learning solutions that deliver measurable business value.
- Analyze large, complex datasets to identify trends, patterns, opportunities, and operational improvements.
- Partner with data engineering, IT, and business teams to develop scalable data pipelines and deploy machine learning models into production environments.
- Evaluate data quality, model performance, and AI system limitations while ensuring responsible, ethical, and practical implementation of predictive models.
- Present analytical findings, recommendations, and technical concepts clearly to executive leadership and both technical and non-technical stakeholders.
- Develop, monitor, and optimize predictive models, ensuring ongoing performance, accuracy, and reliability through continuous improvement.
- Stay current with emerging technologies, AI advancements, machine learning methodologies, and data science best practices to identify opportunities for innovation.
- Collaborate across departments to support strategic initiatives, business intelligence projects, forecasting, automation, and operational optimization.
- Maintain thorough documentation of models, methodologies, assumptions, and development processes to support transparency, reproducibility, and governance.
- Support ad hoc analytical projects and provide data-driven recommendations that improve business performance and operational efficiency.
Requirements
What you’ll need- Bachelor's degree required in Mathematics, Data Science, Computer Science, Engineering, Physics, or another quantitative discipline; advanced degree preferred.
- Strong technical foundation in statistics, predictive modeling, machine learning algorithms, and programming languages such as Python and SQL.
- Demonstrated experience working with modern AI technologies, including deep learning, large language models (LLMs), generative AI, MLOps, or related machine learning frameworks.
- Experience developing, deploying, and maintaining machine learning models in production environments.
- Strong understanding of cloud computing platforms and modern data science tools and technologies.
- Ability to evaluate model performance, balance trade-offs between accuracy, interpretability, speed, and risk, and apply sound judgment in ambiguous situations.
- Experience communicating complex technical concepts to business leaders and collaborating effectively with cross-functional teams.
- Experience within financial services, mortgage lending, or other highly regulated industries preferred.
- Familiarity with model governance, model risk management, compliance, or regulatory frameworks is a plus.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Champions Funding LLC Website LinkedIn All Job Openings 51 - 200 employees 💼 Consulting 🛡️ Insurance 💸 Finance Consulting
- Insurance
- Finance Champions Funding LLC is a mission-based mortgage lender certified as a Community Development Financial Institution (CDFI). The company specializes in Non-Qualified Mortgage (Non-QM) loans, providing innovative and inclusive financing solutions aimed at underserved and under-banked borrowers who often face challenges with traditional lenders. By employing modernized underwriting methods and offering a diverse range of loan programs, including ITIN loans for non-U. S. citizens, Champions Funding empowers mortgage brokers and loan originators to better serve their clients. With a focus on quick and efficient service, they aim to open the door to homeownership and real estate investment for diverse and historically excluded communities. Data Scientist 🔥 0 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Design, develop, and evaluate machine learning, statistical, and predictive models to solve complex business challenges across multiple departments.
- Apply modern artificial intelligence and machine learning techniques, including large language models (LLMs), generative AI, and advanced analytics, to automate processes, enhance decision-making, and generate business insights.
- Translate business objectives into well-defined analytical, statistical, and machine learning solutions that deliver measurable business value.
- Analyze large, complex datasets to identify trends, patterns, opportunities, and operational improvements.
- Partner with data engineering, IT, and business teams to develop scalable data pipelines and deploy machine learning models into production environments.
- Evaluate data quality, model performance, and AI system limitations while ensuring responsible, ethical, and practical implementation of predictive models.
- Present analytical findings, recommendations, and technical concepts clearly to executive leadership and both technical and non-technical stakeholders.
- Develop, monitor, and optimize predictive models, ensuring ongoing performance, accuracy, and reliability through continuous improvement.
- Stay current with emerging technologies, AI advancements, machine learning methodologies, and data science best practices to identify opportunities for innovation.
- Collaborate across departments to support strategic initiatives, business intelligence projects, forecasting, automation, and operational optimization.
- Maintain thorough documentation of models, methodologies, assumptions, and development processes to support transparency, reproducibility, and governance.
- Support ad hoc analytical projects and provide data-driven recommendations that improve business performance and operational efficiency. 🎯 Requirements
- Bachelor's degree required in Mathematics, Data Science, Computer Science, Engineering, Physics, or another quantitative discipline; advanced degree preferred.
- Strong technical foundation in statistics, predictive modeling, machine learning algorithms, and programming languages such as Python and SQL.
- Demonstrated experience working with modern AI technologies, including deep learning, large language models (LLMs), generative AI, MLOps, or related machine learning frameworks.
- Experience developing, deploying, and maintaining machine learning models in production environments.
- Strong understanding of cloud computing platforms and modern data science tools and technologies.
- Ability to evaluate model performance, balance trade-offs between accuracy, interpretability, speed, and risk, and apply sound judgment in ambiguous situations.
- Experience communicating complex technical concepts to business leaders and collaborating effectively with cross-functional teams.
- Experience within financial services, mortgage lending, or other highly regulated industries preferred.
- Familiarity with model governance, model risk management, compliance, or regulatory frameworks is a plus. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Data Scientist – Materials R&D 🔥 4 hours ago IPG 1001 - 5000 🏭 Manufacturing 🏗️ Construction 🛍️ eCommerce Website LinkedIn All Job Openings Senior Data Scientist supporting R&D in bio-polymers and sustainable materials using data science. Analyzing data to accelerate innovation, improve material performance, and reduce development cycles. 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 📊 Data Scientist Deployment Manager – Global Data Center Build and Deploy 🔥 5 hours ago Cerebras 501 - 1000 🔧 Hardware 🤖 Artificial Intelligence ☁️ SaaS Website LinkedIn All Job Openings 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 📊 Data Scientist OT Data & Integration Lead 🔥 5 hours ago Dayforce 5001 - 10000 👥 HR Tech ☁️ SaaS 🏢 Enterprise Website LinkedIn All Job Openings OT Data Integration Lead overseeing secure data flow from plant systems into AdvanSix's Unified Data Platform. Collaborating with teams to ensure reliable and compliant data integration across IT and OT. 🇺🇸 United States – Remote 💵 $118.8k - $178.2k / year 💰 $1G Post-IPO Debt - Dayforce on 2024-03 ⏰ Full Time 🟠 Senior 📊 Data Scientist Microbiome Data Scientist 🔥 5 hours ago Tiny Health 11 - 50 🏥 Healthcare 🛍️ eCommerce 👥 B2C Website LinkedIn All Job Openings Microbiome Data Scientist at Tiny Health analyzing microbiome data and developing metrics. Collaborating with experts and contributing to scientific publications in a remote-first environment. 🇺🇸 United States – Remote 💰 $8.5M Series A - Tiny Health on 2024-03 ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Data Scientist 🔥 5 hours ago Gradera 11 - 50 🤖 Artificial Intelligence 🏢 Enterprise 💼 Consulting Website LinkedIn All Job Openings Data Scientist transforming complex real-world data into insights and machine learning solutions at Gradera. Collaborating with teams for data lifecycle and impactful decision-making. 🇺🇸 United States – Remote 💵 $100k - $145k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist View More Data Science Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs