Principal Data Scientist

Axon Enterprise, Inc. develops devices and cloud-based software focused on public safety and justice. The company’s teams value collaboration, open communication, and diversity, aiming to create meaningful change while supporting employee growth and ownership. Role overview The Principal Data Scientist will join the Office of the Chief Accounting Officer in Boston. This position blends technical expertise with a strong understanding of finance and accounting. The main goal is to ensure Axon’s AI developers, process owners, decision-makers, and auditors have access to reliable, well-governed data that meets audit requirements. Main responsibilities Design and build data analytics tools and pipelines, dedicating about half of the workload to hands-on development. Apply AI to advance projects such as M&A integration, ERP rollouts, upstream data remediation, and SOX compliance. Work closely with teams in Controllership, Finance Operations, FP&A, Internal Audit, and Technology to support AI, automation, and audit readiness. Incorporate AI-driven development tools into daily tasks to improve productivity and outcomes. Location This position is based in Boston, Massachusetts, United States.

CarGurus, a leading online automotive marketplace, is seeking a Principal Data Scientist to join our innovative team in Boston, Massachusetts. As a Principal Data Scientist, you will leverage your expertise in data analysis, machine learning, and statistical modeling to drive insights that enhance our product offerings and improve user experiences. You will play a crucial role in shaping our data strategy and leading complex projects that impact the entire organization.

Join Formation Bio as a Principal Data Scientist, where you will play a pivotal role in shaping our data-driven strategies. We are seeking a highly skilled and innovative data scientist to lead complex projects and drive actionable insights from our data.In this position, you will collaborate with cross-functional teams, leveraging your expertise in statistical analysis, machine learning, and data visualization to inform decision-making and improve our products. Your contributions will directly impact our mission to harness data for groundbreaking advancements in biotechnology.

Asimov is seeking a highly skilled and experienced Senior Scientist/Principal Scientist in Biologics Cell Line Development to join our innovative team in Boston, MA. In this pivotal role, you will lead the development of high-yield mammalian cell lines for the production of biologics. You will collaborate closely with cross-functional teams to optimize production processes and ensure the successful translation of cell line development from research to clinical applications.

Asimov builds tools for designing living systems, combining mammalian synthetic biology with software to support next-generation therapeutics. The Biologics Cell Line Development team in Boston, MA, is growing, and we're seeking a Principal Scientist to help lead our efforts in CHO-based cell line development for biologic therapeutics moving into clinical trials. Role Overview This Principal Scientist position calls for a scientific leader ready to manage a team and drive innovation in cell line development. The role involves designing and executing complex experiments, improving expression systems, and collaborating closely with teams across synthetic biology, modeling, process development, and analytics. The work directly supports Asimov’s mission to advance biological engineering in a startup environment. What You Will Do Oversee CHO cell line development, including transfection, cloning, characterization, and cell banking using advanced technologies. Develop new genetic components, engineer host cell lines, and refine development processes to improve biologics production. Stay current with emerging practices in biologics cell line development and manufacturing, applying new strategies to ongoing projects. Represent the cell line development group on cross-functional projects, making key decisions and communicating progress and plans. Contribute to the scientific community by presenting at conferences, filing patents, and publishing peer-reviewed research. Lead and mentor a team of at least three scientists, providing technical guidance and supporting their career growth. Qualifications At least 8 years of experience in CHO-based cell line development, with a focus on IgG and bispecific expression in an industrial setting. Demonstrated success in creating innovative solutions and experimental approaches in cell line development. Experience managing and developing scientific teams. Strong communication skills for effective work across multidisciplinary groups.

Join Veeva Systems as a Data Scientist specializing in Business Consulting. In this role, you will leverage your analytical skills and expertise in data science to provide actionable insights that drive business strategies and enhance client outcomes. You will work collaboratively with cross-functional teams to design and implement data-driven solutions that address complex business challenges.

Role overview Pearl Health is looking for a Staff Data Scientist to focus on Clinical Performance. This role is open to candidates in San Francisco, New York City, Boston, or remote locations. What you will do Analyze complex healthcare datasets in partnership with teams across the company Develop predictive models aimed at supporting better healthcare delivery and outcomes Use data-driven methods to enhance clinical performance Contribute analytical insights that help guide clinical initiatives Requirements Experience in data science, with a preference for backgrounds working with healthcare data Ability to build models and extract insights from large, complex datasets Strong collaboration skills with both technical and non-technical colleagues Interest in improving healthcare through data-driven approaches

Join Shift Technology, the premier AI-driven platform revolutionizing the insurance sector. Our innovative solutions leverage generative, agentic, and predictive AI to enhance underwriting, claims processing, and fraud detection, ultimately delivering exceptional operational efficiency and customer satisfaction. Trusted by leading insurers globally, we provide impactful AI solutions that drive real results.At Shift, our culture thrives on innovation, trust, and a commitment to transforming the insurance landscape through our SaaS offerings. Our diverse team hails from over 50 countries, uniting to shape the future of insurance.About the TeamAs part of our expansive Data Science team, you will collaborate with over 200 skilled Data Scientists worldwide.This role encompasses a full lifecycle of data science and engineering, providing you with a wealth of technical and professional experience in client engagement, data analysis, and coding.Our company size strikes a balance, allowing individual contributions to significantly impact our success while maintaining our position as a global leader in innovation.Your expertise will be pivotal in deploying enterprise-level solutions for our clients, working closely with our technical specialists.

At Shift Technology, we are at the forefront of revolutionizing the insurance landscape through our cutting-edge AI platform. Our unique blend of generative, agentic, and predictive AI empowers insurers to enhance underwriting, claims processing, fraud detection, and risk management, resulting in remarkable operational efficiency and superior customer satisfaction. Trusted by the world's foremost insurance providers, Shift Technology delivers scalable AI solutions that yield tangible business outcomes.We pride ourselves on a culture that thrives on innovation, trust, and a commitment to transforming the insurance sector via our SaaS offerings. With a diverse team representing over 50 nationalities, we are united in our mission to shape the future of insurance.About the TeamJoin our expansive Data Science team, comprising over 200 skilled Data Scientists globally.Our Data Scientists engage in comprehensive lifecycle roles, gaining profound expertise in data science, engineering, programming, business acumen, and client relations.At Shift, your contributions are significant; while we are a globally renowned leader, our size ensures that each team member's achievements are impactful.As part of the Data Science team, collaborate closely with technical specialists to deploy enterprise-level solutions for our clients.Key ResponsibilitiesContribute actively to the US Health roadmap and engage with a variety of data types, including structured claims data, free text, documents, and images.Develop and optimize data pipelines (structured, text, documents, images) for large language models (LLMs) and multi-modal models.Design, create, and implement LLM-based solutions (RAG, embeddings, instruction tuning) for claims management, document comprehension, and related applications.Explore cutting-edge agentic AI technologies (Langchain/Langgraph, OpenAI Agent SDK, MCP, A2A), and develop minimum viable products for next-generation payment integrity solutions.Create bespoke tools allowing the agent to query internal databases, access external weather APIs, or compute impact forces using telemetry data.Establish robust evaluation frameworks (LLM-as-a-judge) to ensure unbiased, legally sound, and transparent agent decision-making.

About the RoleJoin our innovative team at Bioscope AI as a Data Scientist, where you will play a crucial role in developing intelligent AI agents and retrieval systems that enhance our clinical platform. Your expertise will drive the design of multi-step reasoning systems, agent architectures, and the foundational knowledge infrastructure necessary for AI to autonomously navigate complex clinical workflows.What You'll DoDesign and construct AI agents that excel in multi-step clinical reasoning and tool usage.Develop sophisticated multi-agent systems that coordinate specialized AI components for in-depth analysis.Create intelligent retrieval and RAG systems that effectively ground agent actions in pertinent patient data.Establish agent orchestration frameworks capable of managing diverse clinical workflows.Implement advanced document understanding pipelines for structured extraction from clinical documents.Enhance agent performance, reliability, and cost efficiency.

Join Veeva Systems as a Data Scientist specializing in Business Consulting, where you will leverage your analytical skills to drive innovative solutions for our clients. You will be responsible for analyzing complex data sets, developing predictive models, and providing actionable insights that support strategic decision-making processes.

Join our dynamic team at Zoox as a Data Scientist specializing in Perception Verification and Validation. In this pivotal role, you will be integral to the verification and validation of our advanced perception stack within our cutting-edge autonomous driving system. Collaborating with a talented group of data scientists, perception engineers, and systems engineers, you will spearhead the development of innovative datasets and metrics to effectively assess the performance of our perception system. Your insights will guide the establishment of critical performance metrics, empowering perception engineers to accurately measure the impact of new features on both the perception stack and the overall system behavior.

At Toast, we are dedicated to empowering restaurants and local businesses to thrive in the digital landscape. Our innovative technology solutions enable business owners to streamline operations, boost sales, engage customers, and foster employee satisfaction. About Toast Toast is on a mission to revolutionize the restaurant industry by providing a comprehensive platform that allows businesses to adapt, take control, and flourish. Our Customer Success (CS) organization is crucial in maximizing the value our customers derive from our offerings. We are actively enhancing our data capabilities to usher in a new era of proactive, data-driven customer engagement. The CS Data & Analytics team is at the forefront of this transformation, developing a robust data infrastructure that enables proactive, data-informed engagement for approximately 150,000 restaurant locations. Role Overview As a Principal Data Engineer, you will be a key player in a newly established data engineering function within our Customer Success team. You will have a direct impact on shaping the architecture, tools, domain models, and team culture from the outset. This is a unique opportunity to build innovative solutions from the ground up, with visibility to VP-level and senior leadership within Customer Success. In this role, you will design, build, and scale the data platforms and pipelines that drive insights across our Customer Success organization. Reporting to the Director of Data Infrastructure & Engineering, you will collaborate closely with Data Infrastructure, Analytics, Engineering, and Product teams to ensure the availability of high-quality, reliable data that is both accessible and actionable. This hands-on engineering position focuses on delivering production-grade, scalable, and dependable data systems that bolster analytics, reporting, and operational decision-making across Customer Success. A Day in the Life (Responsibilities) Design, construct, and maintain scalable, production-ready data pipelines (batch and real-time) tailored for Customer Success using cutting-edge data technologies. Develop and refine data models and schemas that facilitate reporting, analytics, and machine learning initiatives across Customer Success functions. Collaborate with CS operations leaders in areas such as care, workforce, and CX to translate business needs into pipeline and infrastructure priorities, ensuring that data projects are directly linked to customer retention and operational success. Ensure high standards of data quality, observability, lineage, and governance are integrated into every data workflow. Implement best practices for cost-effective, high-performance cloud-based data infrastructure. Contribute to...

Job Summary:As a Senior Data Scientist at the esteemed Digital Data Design Institute (D^3) of Harvard University, you will play a pivotal role within the D^3 Data Science Team. Your work will involve close collaboration with faculty and researchers from the Harvard Business School (HBS) on impactful social science research projects that intersect with business, management, digital transformation, data science, and artificial intelligence. Your efforts will focus on leveraging AI to explore its implications for business and society through rigorous experimental research, while also contributing to the development of machine learning (ML) and AI tools for the broader research community.In this role, you will serve as a knowledgeable guide and resource for researchers of varying expertise in data methodologies and cutting-edge technologies. Effective communication regarding these technologies is essential, as is the agility to learn new skills rapidly and manage multiple concurrent projects of differing scopes and complexities.Job-Specific Responsibilities:Extract, clean, explore, and analyze data from diverse sources, including organizational, public, and experimental datasets.Engage in project intake and assignment processes within the D^3 Data Science Team.Design and conduct data science and AI experiments alongside partner organizations.Develop and apply a variety of models and analyses to derive insights and guide strategic decisions.Maintain comprehensive documentation of data files, modeling methodologies, rationale, results, and annotated code.Communicate and present data science methods and findings to faculty, managers, and non-technical stakeholders effectively.Mentor and train fellow data scientists, research scientists, post-doctoral fellows, research assistants, and PhD students.Resolve complex issues collaboratively with other data scientists to devise effective solutions.Document and share research findings with the community.Foster trust and collaboration by actively engaging with colleagues and stakeholders on-site.Perform other related duties as assigned.

Mission: We are looking for an exceptional Principal Engineer and Technical Lead to spearhead our extensive AI model and software evaluation framework known as Ground Truth Regression. The ideal candidate will possess a robust background in data engineering and machine learning principles, along with proven leadership experience in creating and deploying sophisticated data analysis and large-scale orchestration frameworks. At Motional, orchestrating large-scale data analysis is essential for the development of our machine learning-driven autonomous vehicles. Our robo-taxi ML models and software are crafted by a diverse team of developers and deployed multiple times daily. The Ground Truth Regression team is responsible for providing a comprehensive perception analysis framework that validates any modifications affecting the behavior of our autonomous vehicles. The GTRegression team assesses the overall impact of ML and software modifications on the autonomous vehicle during the development phase, equipping the team with tools for root cause analysis and safety assessments. We actively monitor for model errors, anomalies, rare objects, and long-tail driving scenarios across thousands of driving hours. Our team is responsible for developing the complete stack, including AWS Kubernetes orchestration frameworks, re-simulation tools, model metrics, regression reports, and in-depth analysis UIs. We collaborate closely with other perception and ML teams to define metrics and analyze outcomes.

Join our innovative team and play a crucial role in shaping the future of talent acquisition as a Data Scientist.Lever is at the forefront of transforming how organizations recruit and hire top talent. With a decade of experience, we provide world-class hiring software trusted by industry leaders such as Netflix, Yelp, and Shopify. As we continue to redefine the hiring landscape, we are seeking passionate individuals to join our mission. Our company culture is rooted in collaboration and support, and we take pride in being recognized as one of the best workplaces in the United States.Your contributions will directly impact our success and the experience of our clients.

Join Zoox as a Senior Data Scientist specializing in Machine Learning for Perception. In this pivotal role, you will leverage your expertise to develop advanced machine learning algorithms that enhance perception systems. Your contributions will directly impact the design and functionality of autonomous vehicles, driving innovation in the field.

About Formation BioFormation Bio is a pioneering technology and AI-driven pharmaceutical company, uniquely positioned to enhance the efficiency of drug development. With the rapid advancements in AI and drug discovery, the industry is faced with a growing number of candidate drugs that are often stalled due to the prohibitive costs and lengthy timelines associated with clinical trials. Understanding that this bottleneck can restrict the availability of new medicines to patients, Formation Bio, established in 2016 as TrialSpark Inc., has developed advanced technology platforms and processes that effectively accelerate all phases of drug development and clinical trials. Our approach involves partnering with, acquiring, or in-licensing drugs from pharmaceutical companies, research organizations, and biotechnology firms to advance programs beyond clinical proof of concept, ultimately expediting the delivery of new treatments to patients. Our company is backed by a diverse group of influential investors from both the pharmaceutical and technology sectors, including a16z, Sequoia, Sanofi, Thrive Capital, Sam Altman, John Doerr, Spark Capital, SV Angel Growth, and others. Explore more about us through the following links:Our Vision for AI in PharmaOur Current Drug PortfolioOur Technology & PlatformAt Formation Bio, our core values drive our mission to transform the pharmaceutical industry. Each team member embodies these values, playing a crucial role in our commitment to delivering new treatments to patients with greater speed and efficiency. About the PositionAs a Senior Data Scientist specializing in Medical Imaging at Formation Bio, you will spearhead our initiatives to incorporate cutting-edge imaging analytics and AI into our drug development processes. In this pivotal role, you will explore the application of computer vision and deep learning techniques on medical imaging data (including MRI, X-ray, CT, and PET) to expedite clinical trials and enhance patient outcomes. You will be responsible for developing state-of-the-art models for automated image analysis, monitoring disease progression, and assessing treatment responses. Collaborating closely with clinical teams, radiologists, and drug development specialists, you will translate complex imaging data into actionable insights that inform critical decisions across our portfolio. This role provides a unique opportunity to redefine the integration of medical imaging within pharmaceutical development.

About the RoleWe are seeking a talented Data Scientist to take charge of ensuring the quality, reliability, and trustworthiness of our clinical AI outputs. In this pivotal role, you will develop systems that help our AI recognize its limitations, including the creation of evaluation frameworks, calibrated confidence scoring, and automated quality assurance protocols that healthcare professionals can rely on.Key ResponsibilitiesDesign and deploy automated evaluation pipelines to assess the quality, accuracy, and safety of AI outputs at scale.Develop systems for uncertainty quantification where confidence scores are meaningfully aligned with accuracy.Create comprehensive evaluation frameworks that integrate automated assessments with clinician-validated test cases.Implement continuous feedback mechanisms to enhance model outputs based on validation signals.Establish scalable quality gates to identify errors before they impact end users.Contribute to efforts focused on model alignment and fine-tuning.

We are seeking a passionate and detail-oriented Associate Scientist / Bench Scientist to join our dynamic team in Boston. In this role, you will be responsible for conducting experiments, analyzing data, and contributing to innovative research projects that advance our scientific knowledge and product development.