ai data scientist

Alignment Healthcare

<div><p>Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together.</p><p></p>
The Sr. AI Scientist combines deep analytical expertise with advanced software engineering skills to architect and deliver high-impact AI/ML solutions on our proprietary clinical intelligence platform. This role owns complex, ambiguous problems from discovery to production deployment, drive technical excellence across the team, and mentor data scientists while partnering with engineering, product, and clinical leaders to deliver measurable outcomes for Medicare Advantage members.<p></p><p><b>
Job Duties/Responsibilities</b></p><ul><li>
Architect end-to-end AI/ML solutions for complex healthcare challenges (35%): Design and deliver production-grade machine learning systems for high-stakes applications including risk stratification, clinical decision support, autonomous chart review, and fraud detection. Define technical approach, model selection, and system architecture for multi-model systems and real-time decision engines that process millions of healthcare transactions.</li><li>
Own the full ML lifecycle from experimentation to production (25%): Build reliable, scalable AI services including experimentation, validation, deployment, monitoring, drift detection, and continuous improvement. Establish instrumentation, observability, alerting, and feedback loops to ensure model performance and reliability in production environments.</li><li>
Drive technical excellence and innovation (15%): Research and apply state-of-the-art methods in deep learning, NLP/LLMs, computer vision, and causal inference to healthcare problems. Champion engineering best practices including code quality, testing, documentation, reusability, and maintainability across the data science organization.</li><li>
Partner strategically with cross-functional leaders (15%): Collaborate with Product, Clinical, Operations, and Compliance teams to identify high-value AI opportunities aligned with business strategy. Translate complex technical concepts into clear business narratives for executive audiences and influence product roadmap and technology decisions.</li><li>
Provide technical mentorship and raise the bar (10%): Guide data scientists through code reviews, architectural discussions, and pair programming. Share knowledge through internal presentations and documentation. Support hiring by conducting technical interviews and modeling best practices in analytical rigor and problem-solving.</li></ul><div></div><p><b>
Job Requirements</b></p><p><b>
Experience</b></p><p><b>
Required:</b></p><ul><li>
5-8 years delivering production-grade data science or ML solutions with demonstrated business impact</li><li>
Proven track record architecting complex ML systems from research to production deployment</li><li>
Deep expertise in multiple ML domains and strong software engineering fundamentals</li><li>
Experience leading technical projects and mentoring data scientists</li></ul><p><b>
Preferred:</b></p><ul><li>
Healthcare domain expertise, particularly Medicare Advantage, risk adjustment, or claims analytics</li><li>
Experience with production document understanding systems (OCR, NER, entity extraction, LLM pipelines)</li><li>
Published research, open-source contributions, or patents in ML/AI</li><li>
Track record of translating research innovations into production systems</li></ul><div></div><p><b>
Education</b></p><p><b>
Required: </b>PhD in Computer Science, Machine Learning, Statistics, or related field</p><div></div><p><b>
Training</b></p><p><b>
Required:</b><br>
Continuous learning in ML/AI advancements, healthcare analytics, and software engineering practices</p><p><b>
Preferred:</b><br>
Training or certification in MLOps, cloud platforms (Azure, AWS, GCP), or healthcare regulations (HIPAA, CMS)</p><div></div><p><b>
Specialized Skills</b></p><p><b>
Required:</b></p><ul><li>
Expert-level proficiency in Data Science methods, workflows, and best practices</li><li>
Advanced Machine Learning including ensemble methods, deep learning, NLP, LLMs, and computer vision</li><li>
Strong Statistical Analysis and experimental design capabilities</li><li>
Expert programming: Python, Java, SQL, or PySpark with an emphasis on production-grade, maintainable code.</li><li>
Advanced SQL and experience with high-volume, high-dimensional healthcare data</li><li>
Proficiency with Databricks (Spark, Delta Lake), MLflow, Unity Catalog, and cloud platforms</li><li>
Experience with Git workflows, CI/CD pipelines, Docker, and modern MLOps practices</li><li>
Deep understanding of healthcare data (claims, clinical, member) and Medicare Advantage operations</li><li>
Exceptional communication skills: ability to translate technical complexity into business value for diverse stakeholders</li><li>
Strong data visualization and storytelling capabilities with proven ability to influence technical decisions</li></ul><p><b>
Preferred:</b></p><ul><li>
Experience with NoSQL databases, performance optimization, and distributed computing</li><li>
Real-time ML inference and streaming architectures</li><li>
Contributions to internal ML platforms, frameworks, or open-source projects</li><li>
Experience presenting at technical conferences or publishing research</li></ul><p></p><p>
This position is fully remote and open to candidates based in the United States</p><div></div><p><b>
Licensure</b></p><p><b>
Required:</b> None<br>
<b>Preferred:</b> Industry certifications in ML, cloud platforms, or healthcare analytics</p><div></div><p><b>
Essential Physical Functions</b></p><p>
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p><p>
While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.</p><p></p>
Pay Range: $172,364.00 - $258,547.00<p>
Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.
</p><p></p><p>Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation.</p><p></p><ul><li><i>DISCLAIMER: Please</i><i> beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal </i><i>information. Please</i><i> be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at </i><i>https://reportfraud.ftc.gov/#/</i><i>. If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health&rsquo;s talent acquisition team, please email </i><i>careers@ahcusa.com</i><i>.</i></li></ul></div>

Sr. AI & Data Scientist

<div><p>Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together.</p><p></p>
The AI Scientist will play a key role in designing, developing, and deploying advanced Artificial Intelligence and Machine Learning solutions to support Alignment Healthcare&rsquo;s business and operational goals. This position reports to an AI Science leader within the AI organization and works closely with cross-functional partners across engineering, product, and business teams.<br>
<br>
We are seeking highly skilled AI scientists at the Principal level who are passionate about applying state-of-the-art AI and machine learning techniques to complex, real-world healthcare problems. The ideal candidate brings strong technical expertise, sound judgment, and a proven ability to translate ambiguous business challenges into scalable, production-ready AI solutions. This role requires a results-oriented mindset, intellectual curiosity, and a collaborative approach to innovation.<br>
<br>
This is a remote position within the US.<p></p><p><b>
Job Duties/Responsibilities</b></p><ul><li>
Define technical strategy and architect enterprise AI capabilities (35%): Partner with VP of Data Science &amp; AI to establish technical roadmap and vision for organizational AI/ML capabilities. Architect enterprise-wide AI platforms, frameworks, and systems that enable scalable AI adoption. Drive strategic AI initiatives with enterprise-level impact such as autonomous clinical workflows, predictive member intervention engines, and AI-powered risk adjustment optimization.</li><li>
Lead innovation and advance the state of healthcare AI (25%): Research, prototype, and validate novel ML approaches that create competitive advantages. Drive proof-of-concept initiatives for cutting-edge AI technologies including LLM agents, causal inference for intervention effectiveness, and vision models for autonomous chart review. Create intellectual property through novel algorithms, proprietary methodologies, or technical frameworks.</li><li>
Influence organizational direction and technology decisions (20%): Advise executive leadership on AI strategy, technical feasibility, and risk. Shape organizational capability by influencing build-vs-buy decisions, technology stack choices, and platform investments. Partner with Engineering, Product, Clinical, and Operations leaders to embed AI into core business processes and drive enterprise alignment on technical initiatives.</li><li>
Establish technical excellence standards across the organization (10%): Set standards for code quality, MLOps maturity, model governance, and ethical AI. Own the most complex technical challenges where solutions are undefined and require significant innovation. Create reusable platforms, libraries, and tools that accelerate team productivity and raise the technical bar.</li><li>
Build external recognition and strategic partnerships (10%): Represent Alignment's technical capabilities to external stakeholders including CMS, payers, technology partners, and academic institutions. Publish research, present at conferences, and build Alignment's reputation as a leader in healthcare AI. Develop partnerships with research labs, universities, or technology vendors to advance organizational capabilities.</li></ul><div></div><p><b>
Job Requirements</b></p><p><b>
Experience</b></p><p><b>
Required:</b></p><ul><li>
8-12+ years in data science, machine learning, or AI research with a track record of high-impact contributions</li><li>
Demonstrated experience in architecting and delivering AI systems with enterprise-wide or industry-wide impact</li><li>
Proven ability to translate research into production systems that drive measurable business outcomes</li><li>
History of technical leadership: defining strategy, influencing architecture, shaping technical culture</li><li>
Track record of innovation through patents, publications, open-source contributions, or novel ML applications</li></ul><p><b>
Preferred:</b></p><ul><li>
Healthcare AI expertise with demonstrated impact on clinical, operational, or financial outcomes</li><li>
Medicare Advantage domain knowledge: risk adjustment, Stars, utilization management, care management</li><li>
Experience with regulatory environments: CMS, FDA, HIPAA, or AI governance</li><li>
Prior experience at leading AI-native companies or research institutions</li><li>
Track record of thought leadership: conference presentations, peer-reviewed publications, industry recognition</li></ul><div></div><p><b>
Education</b></p><p><b>
Required:</b><br>
PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or related field</p><div></div><p><b>
Training</b></p><p><b>
Required:</b><br>
Active engagement with ML research community and continuous learning in state-of-the-art AI methods; deep knowledge of healthcare regulations, AI ethics, and responsible AI practices</p><p><b>
Preferred:</b><br>
Advanced training in specialized ML domains (e.g., causal inference, reinforcement learning, LLMs); executive communication and strategic leadership training</p><div></div><p><b>
Specialized Skills</b></p><p><b>
Required:</b></p><ul><li>
Recognized expert-level proficiency in Data Science with deep theoretical and applied knowledge across multiple domains</li><li>
Mastery of Machine Learning including supervised/unsupervised learning, deep learning, NLP, reinforcement learning, and causal inference</li><li>
Deep understanding of Generative AI, predictive modeling, and classical machine learning techniques such as boosting and random forests.</li><li>
Advanced Statistical Inference, experimental design, and ability to establish methodological standards</li><li>
Expert programming: Python, Java, SQL, or PySpark with proven ability to architect production-grade, scalable ML systems.</li><li>
Advanced SQL and experience designing data architectures for complex healthcare applications</li><li>
Deep expertise with Databricks, MLOps platforms (MLflow, Unity Catalog), and cloud-native AI systems</li><li>
Cutting-edge AI capabilities: Large language models, multimodal AI, AI agents, retrieval-augmented generation (RAG)</li><li>
Strategic understanding of healthcare business models, Medicare Advantage operations, and regulatory landscape (CMS, HIPAA)</li><li>
Exceptional communication and influence: ability to articulate AI roadmap and technical strategy to executive audiences and shape organizational direction</li><li>
Proven ability to translate technical capabilities into business value and assess technical risk, feasibility, and ROI</li></ul><p><b>
Preferred:</b></p><ul><li>
Experience building ML platforms or infrastructure used across data science organizations</li><li>
Deep expertise in healthcare AI specialization: clinical NLP, medical imaging, risk prediction, or intervention optimization</li><li>
Multi-agent AI systems and autonomous decision frameworks</li><li>
Contributions to major open-source ML projects or industry-recognized thought leadership</li></ul><div></div><p><b>
Licensure</b></p><p><b>
Required:</b> None<br>
<b>Preferred:</b> Industry recognition through certifications, awards, or fellowships in AI/ML</p><div></div><p><b>
Essential Physical Functions</b></p><p>
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p><p>
While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.</p><p></p>
Pay Range: $198,219.00 - $297,329.00<p>
Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc.
</p><p></p><p>Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation.</p><p></p><ul><li><i>DISCLAIMER: Please</i><i> beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal </i><i>information. Please</i><i> be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at </i><i>https://reportfraud.ftc.gov/#/</i><i>. If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health&rsquo;s talent acquisition team, please email </i><i>careers@ahcusa.com</i><i>.</i></li></ul></div>

Principle AI & Data Scientist

Danaher

<div><p>At first glance, you&rsquo;ll see Danaher&rsquo;s scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms&mdash;life sciences, diagnostics, and biotechnology.</p><p></p><p>
Look again and you&rsquo;ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You&rsquo;ll find associates who are as certain about their impact as they are about where they&rsquo;re headed next.</p><p></p><p>
You&rsquo;ll find the Danaher Business System, which makes everything possible. You&rsquo;ll also see a company that investors trust&mdash;our culture of continuous improvement has helped us outperform the S&amp;P 500 by more than 5,000% over the past 25 years.</p><p></p><p>
The <b>Principal AI Data Scientist &ndash; Service</b> will join the Supply Chain AI team, reporting to Director, Supply Chain AI Technology. This role is responsible for designing, developing, and deploying end-to-end AI and data science solutions that power our global service operations&mdash;spanning field service engineer (FSE) workforce optimization, service job routing, predictive and preventative maintenance, and service parts inventory management.</p><p></p><p>
This role is ideal for senior practitioners who are passionate about building production-grade, cloud-native AI/ML and optimization solutions&mdash;not just proofs of concept. You will leverage Azure for compute and agent workflows, and Snowflake as the enterprise data platform, to deliver scalable, reliable, and secure solutions with robust CI/CD. You will also work closely with service leaders, planners, and operational teams to translate business problems into AI solutions that drive measurable impact. This role will be working remotely and expected to travel up to 25-30% for workshop and stakeholder engagement.</p><p></p><p><b>
In this role, you will have the opportunity to:</b></p><ul><li><p>
Design, develop, and deploy end-to-end AI and data science solutions for service use cases such as:</p></li><li><p>
Build, productionize, and maintain ML/OR models and agentic workflows using Azure services (e.g., Azure Functions, Container Apps/Kubernetes, Azure ML, Event-driven architectures) and Snowflake as the core data platform.</p></li><li><p>
Own the full lifecycle from problem framing, data exploration, feature engineering, modeling, and experimentation to deployment, monitoring, and continuous improvement in a CI/CD environment (e.g., Azure DevOps or GitHub Actions).</p></li><li><p>
Collaborate cross-functionally with Service Operations, Field Service, Parts Planning, IT, and product/engineering teams to align technical solutions with operational realities, SLAs, and business KPIs.</p></li><li><p>
Partner with solution architects, data engineers, and platform engineers to define robust data models and data pipelines in Snowflake that support analytics, optimization, and real-time decisioning at scale. Ensure models and services are robust, secure, and production ready, with clear monitoring, alerting, feedback loops, and retraining strategies.</p></li></ul><p></p><p><b>
The essential requirements of the job include:</b></p><ul><li><p>
PhD or Master&rsquo;s degree in Data Science, Computer Science, Operations Research, Industrial Engineering, Applied Mathematics, or a related quantitative field.</p></li><li><p>
Multiple years of experience (typically 7+ years) in AI, data science, or advanced analytics, with significant experience focused on service, maintenance, field operations, or closely related operational optimization domains.</p></li><li><p>
Strong proficiency in Python and experience with modern ML/AI and optimization frameworks (e.g., scikit-learn, PyTorch, OR-Tools/Gurobi or similar, and optionally LLM/agent frameworks for workflow orchestration).</p></li><li><p>
Demonstrated experience building and deploying production-grade AI/ML or optimization solutions on Azure, including containerized services, APIs, and CI/CD pipelines.</p></li><li><p>
Hands-on experience working with Snowflake (or a similar cloud data platform) for data modeling, SQL development, performance tuning, and integrating analytics/ML workloads.</p></li></ul><p></p><p><b>
It would be a plus if you also possess previous experience in:</b></p><ul><li><p>
Direct experience in Service Operations, Field Service, Asset Management, or Service Supply Chain functions.</p></li><li><p>
Familiarity with ERP and service management systems (e.g., Oracle, SAP, ServiceMax, Salesforce Field Service, or similar) and how they support service orders, assets, and parts.</p></li><li><p>
Experience with large language models (LLMs) and intelligent agents applied to service workflows, such as technician copilots, knowledge retrieval, or conversational troubleshooting.</p></li></ul><p></p><p>
At Danaher we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide.</p><p></p><p>
The annual salary range for this role is $150K-$215K.. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.</p><p></p><p>
This job is also eligible for bonus/incentive pay. #LI-Remote</p><p>
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.</p><p></p><p>
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</p><p></p><p>
Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
</p><p></p><p>For more information, visit www.danaher.com.</p></div><p></p>

Principal AI Data Scientist, Service - USA Remote

Fractal Analytics

<div><p>It's fun to work in a company where people truly BELIEVE in what they are doing!</p><p></p><p><i>
We're committed to bringing passion and customer focus to the business.</i></p><p></p><p>
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.</p><p><br>
Please visit Fractal | Intelligence for Imagination for more information about Fractal.</p><p></p><p><b>
Senior GenAI Data Scientist
</b></p><p><b>Remote</b></p><p></p><p><b>
Job Summary</b></p><p>
The role involves designing, developing, and deploying advanced Machine Learning and Generative AI solutions to derive insights from large-scale, fragmented, and unstructured data. The position focuses on building robust Python-based data pipelines, applying state-of-the-art techniques such as Retrieval-Augmented Generation (RAG), Large Language Model (LLM) fine-tuning, and embedding optimization, and ensuring scalable deployment on Azure using MLOps best practices. The role requires close collaboration with engineering teams to productionize, monitor, and continuously improve models through experimentation, A/B testing, and metrics-driven iterations, ultimately delivering reliable and high-impact AI solutions.</p><p><b><br>
Job Description</b></p><ul><li>
Research, design, and implement ML and GenAI solutions for fragmented, large-scale, and unstructured datasets.</li><li>
Develop data pipelines and workflows in Python for ingestion, transformation, and feature engineering.</li><li>
Apply advanced techniques like RAG, LLM fine-tuning, and embedding optimization for improved performance.</li><li>
Work with large databases, data warehouses, and integrate across multiple sources with ambiguity handling.</li><li>
Deploy models using Azure, ensuring scalability and governance with MLOps best practices.</li><li>
Conduct experimentation and A/B testing to validate hypotheses and optimize outcomes.</li><li>
Collaborate with engineering teams for productionization and monitoring of models.</li><li>
Drive continuous improvement through metrics-driven insights and iterative refinements.</li></ul><p></p><p><b>
Pay:</b></p><p>
The wage range for this role considers the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 - $140,000. You are also, eligible for discretionary annual bonus.</p><p></p><p><b>
Benefits:</b></p><p>
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a &ldquo;free time&rdquo; PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.</p><p></p><p><i>
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</i></p><p></p><p>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!</p><p></p><h3 class="jobSectionHeader"><b>
Hiring Related Queries</b></h3><p>
India: HiringsupportIndia@fractal.ai</p><p>
Outside India: HiringsupportROW@fractal.ai</p><p>
Please share resume via job postings</p><p></p><p>
Not the right fit? Let us know you're interested in a future opportunity by clicking <i>Introduce Yourself</i> in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!</p></div>

Senior GEN AI Data Scientist

TrueLearn

<p>Job Title: Data Scientist</p><p>FLSA status: Full-Time</p><p>Work Location: Remote (US-Based)</p><p>Report to: VP, AI &amp; Data Strategy</p><p><b>About TrueLearn</b></p><p>TrueLearn helps learners, educators, and institutions make high-stakes decisions about exam readiness and performance in medical education.</p><p>We are building a next-generation analytics layer that combines <b>product analytics, predictive modeling, and AI-powered systems</b> on top of rich, longitudinal learning data.</p><p><b>The Role</b></p><p>We are hiring a <b>Data Scientist</b> to drive product analytics, build data-driven systems, and apply AI to how teams and customers interact with data. This role reports directly to our VP of Data Science.</p><p>This role combines:</p><ul><li>Product analytics &amp; experimentation</li><li>Modeling &amp; data systems</li><li>Applied AI (LLMs and intelligent workflows)</li></ul><p>You will work closely with our <b>Data Analytics team</b>, as well as product, engineering, marketing, and finance.</p><p><b>What You&rsquo;ll Do</b></p><p><b>Product Analytics &amp; Experimentation</b></p><ul><li>Define and analyze key product metrics</li><li>Design and evaluate experiments (A/B tests, cohorts)</li><li>Identify behavioral drivers of user outcomes</li></ul><p><b>Modeling &amp; Data Systems</b></p><ul><li>Build models for segmentation, retention, conversion, and revenue insights</li><li>Develop scalable data models used across product, marketing, and finance</li><li>Partner with engineering to operationalize models where needed</li></ul><p><b>AI &amp; LLM-Driven Workflows</b></p><ul><li>Build LLM-powered tools (e.g., natural language data querying, automated insights)</li><li>Evaluate and improve AI outputs for accuracy and usefulness</li><li>Integrate AI into analytics and product workflows</li></ul><p><b>BI &amp; Data Access (Looker)</b></p><ul><li>Build dashboards and LookML models</li><li>Enable self-service analytics across teams</li><li>Ensure consistency between BI and underlying data models</li></ul><p><b>What We&rsquo;re Looking For</b></p><ul><li>2&ndash;5 years in data science or applied analytics, MS preferred</li><li>Strong SQL + experience working with large datasets</li><li>Experience building <b>models (not just dashboards)</b></li><li>Experience with experimentation and product analytics</li><li>Experience with <b>Looker or similar BI tools</b></li><li>Experience using or building with <b>LLMs / AI systems</b></li><li>Strong problem-solving and cross-functional collaboration</li></ul><p><b>Nice to have:</b> Python, LookML, product analytics depth, or experience in education/healthcare</p><p><b>Why This Role Matters</b></p><p>We are moving beyond traditional BI toward <b>AI-powered analytics and decision systems</b>.</p><p>This role will help define how TrueLearn:</p><ul><li>Turns data into product and business decisions</li><li>Builds scalable analytical and predictive systems</li><li>Integrates AI into everyday workflows</li></ul><p>Compensation Range: $110,000 - $125,000 annually.</p><p>Pay: $110,000.00 - $125,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible spending account</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Parental leave</li><li>Referral program</li><li>Retirement plan</li><li>Vision insurance</li></ul><p>Work Location: Remote</p>

Data Scientist

University of Pittsburgh

<div><div><p><b>Data Scientist, Hub for AI and Data Science Leadership</b></p></div><div>
Office of the SVC and Provost - Pennsylvania-Pittsburgh - (26002118)</div><div></div><div><p><br>
The Hub for AI and Data Science (HAIL), within the University of Pittsburgh&rsquo;s Office of the Provost, serves as an academic convening point for AI and data science efforts to:</p><ul><li>Unify and strengthen existing AI- and data science-related activities across the university&rsquo;s academic mission.</li><li>Convene and connect researchers, practitioners, and academic units to support responsible, innovative applications of AI.</li><li>Engage with shared governance, especially with the Senate Educational Policies Committee, the Student Admission, Aid and Affairs Committee, and the Student Government Board.</li><li>Expand upon current RDS work, incorporating its people, resources, and commitments while broadening the scope to reflect the rapidly evolving landscape of AI and data science.</li></ul><p><br>
The Hub for AI and Data Science Leadership (HAIL) and the Responsible Data Science, AI, and Complexity for Peace (ReDSCAIP) Lab seeks highly motivated and talented data scientists to support their growing portfolio of projects related to responsible AI and data science. This position, funded for a minimum of 2 years, will play a critical role in ensuring that HAIL and ReDSCAIP can create and share data, metadata, and curriculum, build and compute neural network models to improve the performance of projects, and iteratively improve and deploy interactive applications that increase the reach and impact of both organizations.</p><p><br>
Preferred Qualifications:</p><div><ul><li><br>
Experience working in an academic research environment with social science or social science-focused health science teams.</li><li>Knowledge of specific social science data types and methodologies (e.g., survey data, qualitative data, network data).</li><li>Familiarity with interactive data visualization tools and techniques.</li></ul></div><p>
 Education: Graduate degree in a Social Science discipline or a related field with a demonstrated focus on data analysis, management, and curation. A PhD is desired.</p></div><div><div><b>
Job Summary</b></div><p>
Performs research, analysis, and modeling on organizational data and data sets utilizing advanced statistical methods to mine and analyze complex and unstructured data sets. Offers complex analysis and utilizes advanced algorithms and statistical software. Adheres to all protocols.</p></div><div><div><b>
Essential Functions</b></div><p>
The ideal candidate will have demonstrable experience in managing unstructured and semi-structured data, a keen understanding of the needs of social science researchers, and excellent communication skills for collaborative work with AI systems. Experience with machine learning pipelines, verifying GenAI output with data science techniques and human annotation, geospatial data and models, and knowledge graphs is preferred.</p><p>
Key Responsibilities:</p><ul><li>
Develop, Implement, and Improve Machine Learning Workflows Across Projects</li><li>
 Execute and refine replicable and efficient data creation, processing, and documentation workflows for, with a special focus on unstructured and semi-structured information from social science and related data science and AI research and education projects.</li><li>
Contribute to external grant applications.</li><li>
Be a responsive liaison to the Center for Research Computing and Data.</li><li>
Stay up-to-date on relevant neural network architectures and opportunities</li><li>
Tracking and providing expertise on the future of work in the age of AI</li><li>
Collaborate and communicate with the relevant teams</li><li><p>
Participate in national and international discussions and initiatives related to AI in Workforce development as well as AI for Peace.</p></li></ul></div><p></p><div><div><b><br>
Physical Effort</b></div><p>
Must be able to join in-person meetings around campus as required. Must be able to sit for prolonged periods of time.</p></div><p></p><div><p><i><br>
The University of Pittsburgh is an equal opportunity employer / disability / veteran.</i></p><div><br>
</div></div><div><div><b>
Assignment Category</b></div> Full-time regular</div><div><div><b>
Job Classification</b></div> Staff.Data Scientist II</div><div><div><b>
Job Family</b></div> Research</div><div><div><b>
Job Sub-Family</b></div> Data Science</div><div><div><b>
Campus</b></div> Pittsburgh</div><div><div><b>
Minimum Education Level Required</b></div> Master's Degree</div><div><div><b>
Minimum Years of Experience Required</b></div> 3</div><div><div><b>
Will this position accept substitution in lieu of education or experience? </b></div>Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement.</div><div><div><b>
Work Schedule</b></div> Monday- Friday, 8:30 a.m. - 5:00 p.m.</div><div><div><b>
Work Arrangement</b></div> Hybrid: Combination of On-Campus and Remote work as determined by the department.</div><div><div><b>
Hiring Range</b></div> TBD Based Upon Qualifications</div><div><div><b>
Relocation Offered</b></div> No</div><div><div><b>
Visa Sponsorship Provided</b></div> No</div><div><div><b>
Background Check</b></div> For position finalists, employment with the University will require successful completion of a background check</div><div><div><b>
Child Protection Clearances</b></div> Not Applicable</div><div><div><b>
Required Documents</b></div> Resume, Cover Letter</div><div><div><b>
Optional Documents</b></div> Not Applicable</div></div>

Data Scientist, Hub for AI and Data Science Leadership

Vertex Pharmaceuticals

<div><p><b>Job Description
</b></p><p><b>General Summary:
</b></p><p></p><p>Are you a data scientist with experience in natural language processing, generative AI, machine learning, and advanced analytics, and looking to apply your expertise in a collaborative and intellectually stimulating environment? Are you passionate about the future of healthcare?
</p><p></p><p>Our enterprise data science team is looking for a Boston- or London-based data scientist with experience in using generative AI methods to solve complex business problems and a passion for addressing business needs through data analysis and solutions. You will work on a highly collaborative team of data scientists, engineers, and strategists to deliver analytical insights and data products that drive value and impact for our highest priority business needs. You&rsquo;ll work side-by-side with internal partners to apply advanced analytics and generative AI to complex, high-value business problems and digital solutions to deliver measurable decisions and outcomes that contribute meaningfully to our business and patients.
</p><p></p><p><b>Key duties and responsibilities:
</b></p><ul><li><p>Collaborate with a team of data scientists, engineers, and strategists and our cross-functional partners to conceptualize, deploy, and evaluate custom data science solutions for business problems using generative AI, NLP, machine learning, and other advanced analytical methods
</p></li><li><p>Design and execute impact measurement plans (e.g. A/B tests) to quantify the value of these solutions
</p></li><li><p>Lead quantitative assessment and insight generation for enterprise document ecosystem
</p></li><li><p>Develop advanced insights related to enterprise adoption of generative AI tools such as custom agents
</p></li><li><p>Build and deliver compelling data visualizations and outputs to communicate findings to technical collaborators, non-technical audiences, and business leaders
</p></li><li><p>Participate in the broader data science community to stay current with methodology, software, and data development and availability
</p></li><li><p>Bring an entrepreneurial and ethical mindset, openness, transparency, and collegiality to your work
</p></li></ul><p></p><p><b>Minimum qualifications:
</b></p><ul><li><p>Bachelor&rsquo;s, Master&rsquo;s, or PhD degree in a computational or quantitative discipline, including but not limited to data science, statistics, computer science, computational linguistics, biomedical informatics, neuroscience, physics, epidemiology, health economics
</p></li><li><p>5+ years of experience developing data science solutions in an industry or academic context, with 2+ years of experience integrating generative AI methods into document solutions (e.g. custom document generation, summarization, QC)
</p></li><li><p>Expertise in programming languages (e.g. Python, R, SQL, JavaScript), version control, and other data science related tools (e.g. Snowflake, Databricks, Azure/Foundry, dbt)
</p></li><li><p>Expertise in working with natural language data and building text-based products, using both classic and state of the art NLP techniques (e.g. text mining, word embeddings, transformer-based models)
</p></li><li><p>Experience with LLM prompt engineering and familiarity with LLM-based workflows/architectures such as retrieval-augmented generation, multi-agent architectures
</p></li><li><p>Experience with statistical/analytical methodologies and machine learning algorithms (e.g. classification, regression, clustering, feature selection/engineering, deep learning, time-series analysis, network analysis, hypothesis testing)
</p></li><li><p>Exceptional communication skills and ability to present findings to non-technical audiences
</p></li><li><p>Experience in effective data visualization approaches and a keen eye for detail in the visual communication of findings
</p></li><li><p>Demonstrated history of adherence to highest standards of data ethics
</p></li></ul><p></p><p><b>Preferred Qualifications:
</b></p><ul><li><p>4+ years of industry GenAI data science experience
</p></li><li><p>Familiarity with LLMOps, including deployment, monitoring, and maintenance of GenAI data solutions
</p></li><li><p>Prior experience with using advanced analytics and/or developing advanced data visualizations in business settings
</p></li><li><p>Familiarity with data product UX/UI design and testing
</p></li><li><p>Prior exposure to clinical data, real-world data (EMR, claims), manufacturing or supply chain data, or life sciences-related research data
</p></li><li><p>Knowledge of the biopharma or healthcare industry
</p></li></ul><p></p><p>#LI-HYBRID
</p><p></p><p><b>Pay Range:
</b></p>$152,000 - $228,000
<p></p><p><b>Disclosure Statement:
</b></p><div><div><div><div><p>The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
</p><p></p><p>At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
</p></div></div></div></div><p></p><p><b>Flex Designation:
</b></p>Hybrid-Eligible Or On-Site Eligible
<p></p><p><b>Flex Eligibility Status:
</b></p><p>In this Hybrid-Eligible role, you can choose to be designated as:
<br>
1. <b>Hybrid </b>: work remotely up to two days per week; <b>or select
</b><br>
2. <b>On-Site </b>: work five days per week on-site with ad hoc flexibility.
</p><p>Note: The Flex status for this position is subject to Vertex&rsquo;s Policy on Flex @ Vertex Program and may be changed at any time.
</p><p></p><p>#LI-Hybrid<br>
<br>
</p><p></p><p><b>Company Information
</b></p><p>Vertex is a global biotechnology company that invests in scientific innovation.
</p><p></p><p>Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
</p><p></p><p>Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com</p></div>

Principal Data Scientist, Digital & AI

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