Associate Principal Engineer - Data Science

Join Nagarro as a Senior Staff Engineer in Data Science and leverage your expertise to drive innovative solutions in data analytics and machine learning. In this fully remote position, you will collaborate with cross-functional teams to design and implement advanced data-driven strategies that enhance our products and services.

Join our dynamic team as a Staff Engineer in Data Science at Nagarro, where you will play a pivotal role in leveraging data analytics to drive impactful business decisions. As part of our innovative engineering department, you will be responsible for developing advanced data models and algorithms to enhance our operational performance and product offerings.

Role Overview Nagarro is hiring a Senior Staff Engineer in Data Science. This remote position centers on applying advanced skills in data analysis, machine learning, and statistical modeling to guide important business decisions. The role works closely with teams across the company to create new solutions, improve existing processes, and strengthen product capabilities. What You Will Do Analyze complex data sets and apply statistical models to uncover insights Develop and refine machine learning models to support business goals Collaborate with cross-functional teams to design and implement data-driven solutions Mentor junior engineers and share technical knowledge Contribute to strategic planning and help shape the direction of data science initiatives Location This is a remote role.

Role Overview Nagarro is looking for a Senior Staff Engineer, Data Science, to guide projects that use data to inform decisions and improve business results. This fully remote role focuses on applying advanced data analytics, machine learning, and statistical modeling to tackle challenging problems. What You Will Do Lead data-driven projects from concept to delivery Apply expertise in analytics, machine learning, and statistics Work closely with a collaborative team to address complex business questions

Join Nagarro as a Staff Engineer specializing in Data Science, where you will have the opportunity to work on cutting-edge projects in a fully remote environment. As a key member of our engineering team, you'll leverage your expertise to build innovative data-driven solutions that empower our clients and enhance their business strategies.

Join VIA Science as a Senior Data EngineerAt VIA Science, we are on a mission to create cleaner, safer, and more equitable communities. By breaking down digital barriers, we provide the most secure and straightforward data and identity protection solutions.As a trusted partner of the U.S. Department of Defense and Fortune 100 companies worldwide, we tackle the toughest challenges in data and identity protection using our innovative Web3, quantum-resistant, passwordless technologies, protected by 19 patents.In your role as a Senior Data Engineer, you will be instrumental in shaping the future of our solutions, empowering our clients to leverage AI for data-driven decision-making.Collaborate with a dynamic team of data experts, developers, DevOps, and Client Delivery professionals who are at the forefront of AI innovation. This role is ideal for individuals driven by the challenge of enhancing data accessibility, ensuring high standards of data quality and availability, and improving overall performance.

Join our innovative team at Turquoise Health as a Senior Data Science Engineer, where you will play a pivotal role in transforming healthcare data into actionable insights. We are looking for a talented individual who possesses a strong analytical mindset and a passion for solving complex problems. In this fully remote position, you will collaborate with cross-functional teams to develop machine learning models and data-driven solutions that enhance patient care and streamline health services.

Join Axle as a Junior Data Science Engineer!At Axle, a leader in bioscience and information technology, we drive innovations in translational research, biomedical informatics, and data science applications. Our mission is to empower research centers and healthcare organizations across the nation and globally. Collaborating with experts in biomedical science, software engineering, and program management, we create research tools that enhance decision-making and accelerate groundbreaking discoveries. Our esteemed partnerships include top research organizations and facilities, such as various institutes within the National Institutes of Health (NIH).In this role, you will be an essential part of our team, supporting projects across federal initiatives, including the National Center for Advancing Translational Sciences (NCATS) at NIH. Your contributions will involve developing and refining data-driven applications, APIs, and analytics tools that facilitate scientific research and data exploration.This position offers hands-on experience with cutting-edge web technologies, data pipelines, and cloud environments, playing a crucial role in systems that enable interactive data analysis and visualization.

Company OverviewDeepgram stands at the forefront of the burgeoning trillion-dollar Voice AI market, offering cutting-edge real-time APIs for speech-to-text (STT) and text-to-speech (TTS) solutions, along with the ability to develop scalable production-grade voice agents. Over 200,000 developers and more than 1,300 organizations, including notable names like Twilio, Cloudflare, and Sierra, utilize Deepgram’s technology to power their voice applications. Our voice-native foundational models are accessible via cloud APIs or as self-hosted and on-premises software, delivering unparalleled accuracy, low latency, and cost-effectiveness. After securing significant investment in our recent Series C funding round, Deepgram has processed an impressive 50,000 years of audio and transcribed over 1 trillion words, showcasing our unrivaled expertise in voice technology.Company Culture and Work EnvironmentAt Deepgram, we foster an AI-first culture where the use of AI tools is not just encouraged but expected. Every team member is empowered to experiment with advanced AI solutions and integrate them into their daily workflows. We measure success by how effectively AI is leveraged to achieve results, and innovative applications of AI are essential for thriving in our fast-paced environment. Candidates must be adaptable, eager to learn, and excited about exploring the possibilities of new AI technologies. If you thrive in a dynamic setting where change is rapid and experimentation is welcomed, you may find a perfect fit at Deepgram.The OpportunityVoice is the most intuitive means of interaction between humans and machines. Nevertheless, conventional sequence modeling approaches struggle to deliver universally accessible voice AI. The challenges primarily stem from inherent data issues associated with audio: real-world audio data is limited and incredibly diverse, encompassing a wide array of voices, speaking styles, and acoustic conditions. Even with access to billions of hours of audio, the high dimensionality of this data poses significant computational and storage challenges, making large-scale training and deployment prohibitively expensive. We believe that innovative paradigms for audio AI are essential to overcoming these obstacles and democratizing voice interaction for all.The RoleDeepgram is seeking a dedicated Research Staff member in Data Science to join our dynamic team.

WHO WE ARE: At ActBlue, we are a nonprofit organization committed to developing innovative technology that powers Democratic victories and supports progressive initiatives. Our mission is straightforward: to create change through the strength of collective action. Since our inception, we have been at the forefront of transforming grassroots fundraising; if you have contributed to a Democratic campaign or a progressive organization online, chances are you've utilized our platform! We empower small-dollar donors and assist thousands of organizations—from local candidates to national movements—in mobilizing their communities for lasting impact. Each team member is passionately dedicated to our shared mission and core values, working together to shape the future of democracy. THE OPPORTUNITY: ActBlue is looking for a Director of Data Science & Engineering to spearhead our Data Science & Engineering department. In this role, you will cultivate a data-centric culture by developing teams, infrastructure, systems, and services that enhance organizational insights and drive data-informed product experiences. The Data Science & Engineering department encompasses all of ActBlue’s data capabilities—from providing data analytics and reporting services to maintaining our data warehouse and ETL infrastructure. This department is vital for leveraging our data as a competitive edge in Democratic and progressive grassroots fundraising. WHAT YOU WILL DO: Collaborate with organizational leaders to devise and implement a data strategy aligned with ActBlue's short- and long-term objectives, including facilitating organizational growth through acquisitions and partnerships. Promote a data-centric culture by enhancing our capacity for data-informed decision-making and developing high-performance data products that meet stringent reliability standards. Champion AI/ML-focused products and features across the ActBlue Platform by establishing scalable machine learning infrastructures that support production environments, while identifying new opportunities to deploy data science and analytics in service of our mission. Oversee the Data Science, Data Analytics, Data Engineering, and Data Platform teams in a dynamic, mission-driven setting. Guide the advancement of our data systems, tools, and architecture to fulfill the organization’s needs, including data consolidation, governance frameworks, and unified data models across various entities. Ensure clear communication and a stakeholder-centric approach throughout the organization.

Join Our Mission-Driven Team at PayJoyAt PayJoy, we are committed to revolutionizing credit access for underserved communities in emerging markets, enabling them to achieve financial independence and prosperity. Our innovative secured credit technology serves as a gateway for new customers to engage with the credit system, providing them with opportunities through point-of-sale financing and credit cards. Our solutions empower our clients as micro-entrepreneurs and offer a safety net during challenging times. With advanced machine learning, data science, and anti-fraud AI, we proudly serve over 18 million customers and maintain a strong profitability trajectory for sustainable growth.About the RoleAs a Staff Data Engineer, you will play a pivotal role in ensuring our data infrastructure is robust, scalable, and secure. Your responsibilities will include designing and maintaining real-time and batch processing systems, developing a data strategy aligned with business objectives, ensuring data integrity and security, optimizing database performance, automating workflows for enhanced efficiency, and leading cross-functional teams to uphold best practices in data management.

Join Checkr as a Staff Data Engineer, where you will play a pivotal role in enhancing our data infrastructure. Collaborate with cross-functional teams to design data pipelines that support our mission of creating a fairer future through technology. Your expertise will help shape the data landscape, ensuring we provide our clients with valuable insights and operational efficiency.

Are you a passionate Data Engineer ready to join a dynamic team? At CampMinder, we are looking for a Staff Data Engineer who will play a critical role in shaping our data infrastructure and analytics capabilities. You will collaborate closely with cross-functional teams to design, build, and maintain data pipelines that support our business goals. If you thrive in a fast-paced environment and are eager to work with advanced data technologies, we want to hear from you!

Join VIA Science and make a meaningful difference.At VIA Science, we are dedicated to creating cleaner, safer, and more equitable communities. By breaking down digital barriers and fostering collective action, we aim to achieve a greater good. Our organization is proud to provide the most secure and user-friendly data and identity protection solutions in the world.Trusted by the U.S. Department of Defense and Fortune 100 companies worldwide, VIA Science addresses the most challenging data security and identity protection issues. Our innovative Web3, quantum-resistant, and passwordless technologies—backed by 19 issued patents—safeguard data from theft, manipulation, and misuse.We need an exceptional Senior Software Engineer to help fulfill our mission.As a crucial technical contributor at VIA Science, you will play a key role in architecting and developing groundbreaking, secure, and scalable software that supports our mission. Your work will directly impact how vital data is protected and shared, utilizing our state-of-the-art Web3, quantum-resistant technologies.This position provides an opportunity to make significant contributions by creating high-quality, secure software and addressing complex data challenges for those who are passionate about innovation and excellence.Key Responsibilities:Design and Develop Core Software Components:Architect and implement secure, reliable, and scalable microservices, applying a deep understanding of software architecture principles and best practices.Integrate VIA’s Web3 components and privacy-preserving technologies to deliver cutting-edge features and innovative platform functionality.Establish Robust Engineering Processes and Automation:Define, document, and promote the adoption of end-to-end software development lifecycle (SDLC) processes, ensuring clarity and efficiency from initial concept through deployment and maintenance.Lead the creation, development, and optimization of automation pipelines for continuous integration, testing, and deployment (CI/CD), ensuring efficient and reliable application releases.Ensure Software Quality, Reliability, and Performance:Develop and implement comprehensive automated testing strategies, including unit and integration tests, to deliver high-quality, robust software.Proactively monitor, troubleshoot, analyze, and optimize the performance of deployed applications, working to mitigate bottlenecks.Provide Technical Expertise and Foster Collaboration:Act as a subject matter expert and provide technical leadership in privacy and security, guiding project delivery and ensuring VIA Science's solutions meet the highest standards.

Your Contribution at Lila Sciences Be a part of innovating the scientific landscape! We are on the lookout for a talented software engineer with a background in life sciences to enhance our data science team. In this role, you will collaborate closely with software engineers, laboratory scientists, and machine learning engineers to develop state-of-the-art tools for automated scientific analysis and beyond. Your expertise in web services and data engineering, particularly in Python development for scientific applications, will be crucial. If you excel in a collaborative and fast-paced environment while adhering to best practices in git, development workflows, and user-centered design, we encourage you to apply! Your Responsibilities Engage in the complete software development life cycle, concentrating on the design, implementation, and maintenance of software services. Create reusable code and libraries to enhance efficiency and scalability. Ensure development aligns with strategic objectives, facilitating software that meets broader organizational requirements. Oversee git repositories, manage the team’s Jira board and Notion Hub, advocate for best practices, assist laboratory scientists in utilizing new tools, and cultivate a collaborative development culture. Collaborate directly with scientists to identify gaps and unmet needs, crafting customized software solutions for data management, LIMS functionality, and data automation. Advocate for infrastructure as code and devise efficient deployment strategies. Produce clear, concise documentation for both engineering teams and end users. Required Qualifications A minimum of 2 years of experience in software development within a commercial environment. High proficiency in Python programming. Solid understanding of git best practices. Strong listening skills and the patience to thoroughly understand user challenges. Experience in implementing scalable software solutions. Exceptional problem-solving abilities and a team-oriented mindset. Excellent communication skills for effective collaboration with team members and stakeholders. A proactive self-starter with independent thinking capabilities and keen attention to detail. Desire to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial technical setting. Preferred Qualifications A background in biological sciences. Familiarity with data science and machine learning libraries (e.g., pandas, numpy, scipy). Knowledge of modern developer tools (e.g., pydantic, pyright, uv). Understanding of Kubernetes, ArgoCD, and GitHub Actions.

About the Company:FastSpring stands as the premier ecommerce platform for SaaS, software, gaming, and digital product companies. We facilitate over 10 million transactions annually, empowering the sales growth of more than 3,500 businesses across 200+ countries, utilizing every major currency. Our innovative culture, entrepreneurial spirit, and commitment to growth set us apart.We prioritize creating an inclusive work environment and invest in the professional development of our team members. Our team comprises developers, technologists, and business professionals who are globally-minded, customer-focused, and driven by innovation.Founded in 2005, FastSpring is a privately held company headquartered in Santa Barbara, with additional offices in Amsterdam, Austin, Belfast, and Halifax.The Position:FastSpring is seeking a Staff Data Engineer to act as the technical architect and driving force behind our next-generation data platform. In collaboration with the Senior Data Product Manager, you will develop the high-performance infrastructure necessary to transform hundreds of millions of rows of transactional data into actionable insights for our sellers.This pivotal role involves technical leadership and is responsible for designing and implementing a modern data warehouse strategy that fosters real-time product innovation. You will connect complex transactional systems with the analytical requirements of our global clientele.

Join Laurel as a Staff Data Engineer, where you will play a pivotal role in designing and implementing scalable data solutions. You will collaborate with cross-functional teams to optimize data architecture and enhance data analytics capabilities.

Nagarro is looking for an Associate Principal Engineer focused on Data Science. This fully remote position centers on turning complex data into practical insights that support business goals. Role overview As an Associate Principal Engineer, collaboration is key. Work closely with teams from different disciplines to create data-driven solutions. The aim is to help shape decisions and drive measurable improvements for the company. What you will do Transform raw data into insights that inform business strategies Partner with cross-functional groups to design and implement data science solutions Contribute to projects that rely on data analysis to improve outcomes Location This is a remote role, offering flexibility to work from anywhere.

About UsAt Imprint, we're on a mission to revolutionize co-branded credit cards and financial products, creating smarter, more rewarding experiences that prioritize brand identity. We collaborate with industry leaders like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to design innovative credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our cutting-edge platform seamlessly integrates advanced payment solutions, intelligent underwriting, and user-friendly design, enabling brands to offer powerful financial products without the need to become a bank.Co-branded credit cards represent over $300 billion in annual expenditure in the U.S., yet many are still rooted in outdated banking systems. Imprint stands as the modern alternative: adaptable, technology-driven, and designed for today’s savvy consumers. Supported by prominent investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a world-class team to reshape payment methods and drive brand growth. If you're eager to work in a fast-paced environment, tackle challenging problems, and make a significant impact, we want to hear from you!Discover more about our innovations on Imprint's Technology blog.Our TeamThe Data Engineering team at Imprint is pivotal in constructing and scaling our data infrastructure, which underpins product development, analytics, operations, and machine learning throughout the organization. We manage the pipelines, platforms, and processes that empower our stakeholders to trust and utilize our data effectively.Your RoleAs a Senior Data Engineer, you will be responsible for designing and implementing our data platform, addressing our most challenging technical issues. You will lay the groundwork for Imprint's upcoming decade of growth by scaling our infrastructure for rapid expansion, providing insights that inform multi-million dollar decisions, facilitating secure partner data sharing, and transforming how our teams leverage data. Join us in building a platform that not only meets today's demands but also anticipates future opportunities.Key ResponsibilitiesInfrastructure Development & ScalingDesign and optimize our next-generation data platform, leveraging tools such as Snowflake, dbt Cloud, and real-time CDC pipelines for enterprise-level scalability.Create secure and compliant partner data delivery systems utilizing Snowflake shares, S3/SFTP integrations, and Marketplace listings.Develop critical financial reporting pipelines ensuring exceptional accuracy and reliability.Pursue Technical ExcellenceImplement best practices in data engineering, ensuring robust data governance and security.Collaborate with cross-functional teams to enhance data accessibility and usability.