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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.
Nagarro is a global leader in technology services, dedicated to delivering high-quality solutions that drive business success. Our team is passionate about innovation and excellence, fostering a culture where creativity and collaboration thrive. Join us and be part of a dynamic company that values your contributions and supports your professional growth.
Search for Staff Engineer, Data Science - Remote Opportunities
93,706 results
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 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.
Nagarro
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
Please submit your resume in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a freelance, project-based position rather than a permanent staff role. Role overview This freelance Data Science Engineer position centers on designing and validating challenging data science problems for real-world business scenarios. Work is fully remote and project-based, with a focus on Python and SQL. What you will do Design data science problems that mirror analytical challenges in industries such as telecommunications, finance, government, e-commerce, and healthcare. Create tasks requiring Python programming, using libraries like Pandas, Numpy, Scipy, scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure problems are computationally intensive, with solutions that may require days or weeks to process. Develop scenarios involving advanced data processing, statistical analysis, feature engineering, predictive modeling, and generating business insights. Write deterministic problems with reproducible results by using fixed random seeds or avoiding stochastic elements. Base challenges on real business cases, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and efficiency improvements. Cover the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Incorporate big data scenarios that require scalable computation strategies. Validate all solutions in Python, using standard data science libraries and statistical techniques. Document each problem clearly within a realistic business context and provide accurate, verified answers. Requirements Minimum 5 years of hands-on data science experience with proven business results. Portfolio of completed projects or publications demonstrating real-world problem solving. Advanced Python skills for data science, including experience with pandas, numpy, scipy, scikit-learn, and statsmodels. Strong background in statistical analysis and machine learning, with deep understanding of algorithms and their practical use. Expertise in SQL and database operations for data analysis and manipulation. Familiarity with Generative AI tools and concepts (LLMs, Retrieval-Augmented Generation, prompt engineering, vector databases). Understanding of MLOps and model deployment workflows. Knowledge of modern frameworks such as TensorFlow, PyTorch, and LangChain. Excellent written English communication skills at C1 level or above. How to join Apply Complete qualifications Join a project Fulfill assigned tasks Receive compensation Location Remote , Iowa, United States
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.
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.
Turquoise Health
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 Nagarro as an Associate Engineer specializing in Data Science! In this role, you will be part of a dynamic team focused on leveraging data to drive insights and innovation. As a key player, you will work on exciting projects that enhance our data capabilities and contribute to the overall success of our engineering department.
Toloka AI offers project-based freelance roles for experienced Data Science Engineers. This position supports leading technology companies by designing and validating data science challenges that reflect real-world analytics scenarios. The engagement is freelance, not permanent employment. Role overview Freelance Data Science Engineers at Toloka AI create computational challenges for industries such as telecom, finance, government, e-commerce, and healthcare. Projects require designing problems that use Python and SQL, focusing on tasks that cannot be solved manually. Each challenge covers the full data science workflow, from data ingestion and cleaning to modeling and deployment considerations. Engineers use libraries such as Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Problems must be deterministic, reproducible, and based on realistic business scenarios like customer analytics, risk assessment, fraud detection, forecasting, and operational efficiency. Documentation of each challenge includes business context and a verified solution. Big data processing and scalable computational approaches are often required. Requirements At least 5 years of hands-on data science experience with measurable business outcomes Portfolio of completed projects or publications showing real-world problem-solving Advanced Python skills for data science, including pandas, numpy, scipy, scikit-learn, and statsmodels Strong background in statistical analysis and machine learning algorithms Proficiency in SQL and database operations for data analysis Familiarity with Generative AI tools and concepts (LLMs, RAG, prompt engineering, vector databases) Understanding of MLOps practices and model deployment workflows Knowledge of frameworks such as TensorFlow, PyTorch, or LangChain Excellent written English skills at C1 level or higher How to apply Submit your CV in English and specify your English proficiency level Complete the qualification process Join a project after qualification Carry out assigned tasks Receive payment upon completion of work Location: Remote , Wisconsin, United States
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.
Nagarro is looking for an Associate Principal Engineer to join the Data Science team. This remote position centers on applying advanced analytical skills and technical knowledge to develop data-driven solutions. Role overview The Associate Principal Engineer works closely with colleagues from various departments to address complex problems. Collaboration and innovation play a key role in improving Nagarro's data science offerings. What you will do Contribute expertise to guide data-driven decision-making Work with cross-functional teams to develop and enhance solutions Apply analytical and technical skills to solve challenging issues Requirements Strong background in data science and analytics Technical proficiency in relevant data science tools and methods Ability to collaborate effectively with diverse teams
CampMinder
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 Nagarro as a Staff Engineer in Big Data, where you will leverage your expertise in data technologies to drive innovative solutions. This remote position offers you the flexibility to work from anywhere while being part of a dynamic engineering team focused on creating impactful data-driven applications.
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.
FastSpring
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.
Stripe, Inc.
Join Stripe as a Data Science Manager, where you will lead a talented team of data scientists to drive impactful decisions using data. You will play a critical role in shaping data strategy and influencing product development, while also mentoring and guiding your team to achieve their goals. We are looking for a strategic thinker with expertise in data analysis, statistical modeling, and machine learning.
Join Nagarro as a Principal Engineer in Data Science, where you will lead innovative projects and drive strategic initiatives in data analytics. As a key member of our engineering team, you will harness your expertise in machine learning and statistical analysis to solve complex problems and develop impactful solutions.
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.
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Search for Staff Engineer, Data Science - Remote Opportunities
93,706 results
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 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.
Nagarro
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
Please submit your resume in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a freelance, project-based position rather than a permanent staff role. Role overview This freelance Data Science Engineer position centers on designing and validating challenging data science problems for real-world business scenarios. Work is fully remote and project-based, with a focus on Python and SQL. What you will do Design data science problems that mirror analytical challenges in industries such as telecommunications, finance, government, e-commerce, and healthcare. Create tasks requiring Python programming, using libraries like Pandas, Numpy, Scipy, scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure problems are computationally intensive, with solutions that may require days or weeks to process. Develop scenarios involving advanced data processing, statistical analysis, feature engineering, predictive modeling, and generating business insights. Write deterministic problems with reproducible results by using fixed random seeds or avoiding stochastic elements. Base challenges on real business cases, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and efficiency improvements. Cover the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Incorporate big data scenarios that require scalable computation strategies. Validate all solutions in Python, using standard data science libraries and statistical techniques. Document each problem clearly within a realistic business context and provide accurate, verified answers. Requirements Minimum 5 years of hands-on data science experience with proven business results. Portfolio of completed projects or publications demonstrating real-world problem solving. Advanced Python skills for data science, including experience with pandas, numpy, scipy, scikit-learn, and statsmodels. Strong background in statistical analysis and machine learning, with deep understanding of algorithms and their practical use. Expertise in SQL and database operations for data analysis and manipulation. Familiarity with Generative AI tools and concepts (LLMs, Retrieval-Augmented Generation, prompt engineering, vector databases). Understanding of MLOps and model deployment workflows. Knowledge of modern frameworks such as TensorFlow, PyTorch, and LangChain. Excellent written English communication skills at C1 level or above. How to join Apply Complete qualifications Join a project Fulfill assigned tasks Receive compensation Location Remote , Iowa, United States
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.
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.
Turquoise Health
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 Nagarro as an Associate Engineer specializing in Data Science! In this role, you will be part of a dynamic team focused on leveraging data to drive insights and innovation. As a key player, you will work on exciting projects that enhance our data capabilities and contribute to the overall success of our engineering department.
Toloka AI offers project-based freelance roles for experienced Data Science Engineers. This position supports leading technology companies by designing and validating data science challenges that reflect real-world analytics scenarios. The engagement is freelance, not permanent employment. Role overview Freelance Data Science Engineers at Toloka AI create computational challenges for industries such as telecom, finance, government, e-commerce, and healthcare. Projects require designing problems that use Python and SQL, focusing on tasks that cannot be solved manually. Each challenge covers the full data science workflow, from data ingestion and cleaning to modeling and deployment considerations. Engineers use libraries such as Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, Matplotlib, and Seaborn. Problems must be deterministic, reproducible, and based on realistic business scenarios like customer analytics, risk assessment, fraud detection, forecasting, and operational efficiency. Documentation of each challenge includes business context and a verified solution. Big data processing and scalable computational approaches are often required. Requirements At least 5 years of hands-on data science experience with measurable business outcomes Portfolio of completed projects or publications showing real-world problem-solving Advanced Python skills for data science, including pandas, numpy, scipy, scikit-learn, and statsmodels Strong background in statistical analysis and machine learning algorithms Proficiency in SQL and database operations for data analysis Familiarity with Generative AI tools and concepts (LLMs, RAG, prompt engineering, vector databases) Understanding of MLOps practices and model deployment workflows Knowledge of frameworks such as TensorFlow, PyTorch, or LangChain Excellent written English skills at C1 level or higher How to apply Submit your CV in English and specify your English proficiency level Complete the qualification process Join a project after qualification Carry out assigned tasks Receive payment upon completion of work Location: Remote , Wisconsin, United States
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.
Nagarro is looking for an Associate Principal Engineer to join the Data Science team. This remote position centers on applying advanced analytical skills and technical knowledge to develop data-driven solutions. Role overview The Associate Principal Engineer works closely with colleagues from various departments to address complex problems. Collaboration and innovation play a key role in improving Nagarro's data science offerings. What you will do Contribute expertise to guide data-driven decision-making Work with cross-functional teams to develop and enhance solutions Apply analytical and technical skills to solve challenging issues Requirements Strong background in data science and analytics Technical proficiency in relevant data science tools and methods Ability to collaborate effectively with diverse teams
CampMinder
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 Nagarro as a Staff Engineer in Big Data, where you will leverage your expertise in data technologies to drive innovative solutions. This remote position offers you the flexibility to work from anywhere while being part of a dynamic engineering team focused on creating impactful data-driven applications.
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.
FastSpring
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.
Stripe, Inc.
Join Stripe as a Data Science Manager, where you will lead a talented team of data scientists to drive impactful decisions using data. You will play a critical role in shaping data strategy and influencing product development, while also mentoring and guiding your team to achieve their goals. We are looking for a strategic thinker with expertise in data analysis, statistical modeling, and machine learning.
Join Nagarro as a Principal Engineer in Data Science, where you will lead innovative projects and drive strategic initiatives in data analytics. As a key member of our engineering team, you will harness your expertise in machine learning and statistical analysis to solve complex problems and develop impactful solutions.
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.
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