Senior Data Pipeline Analyst

impact.com builds a platform for brands to manage and grow partnerships across the entire customer journey. Over 5,000 companies, including major names like Walmart, Uber, and Shopify, use impact.com to oversee a network of more than 350,000 partnerships. Role overview The Senior Data Scientist, Programmatic Algorithms, joins the Programmatic Experience Group as an individual contributor. This role centers on designing and deploying machine learning models to optimize yield, pricing, and inventory allocation at scale. The work blends data science, platform engineering, and marketplace economics, directly influencing impact.com’s programmatic marketplace by balancing advertiser results with publisher monetization. This position offers significant autonomy and responsibility across the full machine learning lifecycle. Projects range from building data pipelines and engineering features to deploying real-time inference systems that support rapid decision-making. Regular collaboration with Product, Data Science, and Programmatic Delivery Engine Engineering teams is expected. What you will do Yield optimization and pricing models: Design and implement machine learning models for auction pricing, bid shading, floor price setting, and yield management across programmatic inventory. Who succeeds in this role Success in this position requires strong analytical rigor, practical machine learning engineering skills, and a genuine interest in both data science and engineering challenges. The role is based in New York, Seattle, or Vancouver, BC.

impact.com is a leading partnership marketing platform that brings together affiliates, influencers, content publishers, and brand advocates to drive business growth. The platform helps more than 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, manage over 350,000 partnerships. impact.com’s suite of products, Performance, Creator, and Advocate, integrates all partner types, supporting brands as they build authentic, performance-driven relationships throughout the customer journey. Role overview The Senior Data Scientist, Programmatic Algorithms, will join the Programmatic Experience Group as an embedded expert. This high-responsibility individual contributor role focuses on designing and implementing machine learning models that optimize yield, pricing, and inventory allocation at scale. The work sits at the intersection of data science, platform engineering, and marketplace economics. Key responsibilities Lead the design and implementation of machine learning models to optimize auction pricing, bid shading, floor price settings, and yield across impact.com’s programmatic inventory. Architect data pipelines to support model development and deployment. Engineer features that improve model performance. Deploy real-time inference systems that enable swift, data-driven decisions. Collaboration and impact This role works closely with Product, Data Science, and Programmatic Delivery Engine Engineering teams. While collaboration is essential, the position also offers significant autonomy. The Senior Data Scientist will influence how the programmatic marketplace balances advertiser performance with publisher monetization, making a measurable impact on the organization. What we look for Analytical rigor and practical instincts are essential. The ideal candidate brings deep experience in both data science and machine learning engineering, with a genuine enthusiasm for solving complex problems in both areas.

Join our dynamic team at Numerixs-Quant, a leading data-driven firm specializing in the algorithmic trading sector. We foster a collaborative environment, seeking innovative minds ready to make significant contributions.About You:As a motivated individual with a PhD background, you thrive on intellectual challenges and have a passion for problem-solving. Your aim is to apply your academic expertise to real-world financial markets, and you possess a strong drive to continuously improve your skills and methodologies in data analysis.Key Responsibilities:Lead and complete projects that enhance existing trading strategies.Automate trading system functionalities through programming.Utilize Python and relational time-series databases (kdb+) for coding.Analyze complex data sets to discover investment insights.Create predictive models to refine trading strategies.Manage your own projects while collaborating with colleagues and portfolio managers.What You Bring:A PhD or advanced degree in mathematics, physics, or related quantitative fields.Strong analytical skills and meticulous attention to detail.A natural curiosity and a critical mindset focused on results.Proficiency in coding to implement innovative solutions.Experience with Python programming.Solid background in statistics and mathematical modeling.Excellent verbal and written communication skills.A results-driven approach in a performance-focused environment.A commitment to high standards in your work.Preferred Qualifications:Experience in financial markets or related fields is advantageous.

Machine Learning Innovator: At AlgaeCal, we don't just work with data; we transform it into actionable insights that shape our strategies, optimize efficiencies, and drive growth. As a Data Scientist Intern, your predictive models will play an integral role in advancing our mission to combat bone loss, impacting millions of lives.Our team thrives on uncovering hidden patterns and validating hypotheses. If you're passionate about integrating machine learning into real-world AI applications, we want to hear from you.Join us and be part of something meaningful. With an estimated 54 million people in the U.S. facing low bone density, your work here will provide hope through our clinically-backed natural solutions.

Asana seeks a Staff Data Scientist in Vancouver, BC. This role centers on advanced analytics and machine learning to help guide decisions across the company. Role overview Work will span both product development and operational improvements. The goal is to generate insights that help shape Asana’s products and make them more effective for users. What you will do Apply machine learning and analytics to company data Support teams with insights that influence product direction Contribute to operational improvements using data-driven findings Location This position is based in Asana’s Vancouver, BC office.

AlgaeCal Inc. is seeking a Data Scientist Intern for New Graduates in Vancouver, British Columbia. This internship focuses on transforming raw data into strategies that drive real business results. Interns will work closely with machine learning models, uncover patterns, and help embed AI applications into practical business solutions. AlgaeCal’s mission centers on eliminating the fear of bone loss, offering a clinically-backed natural solution for those with low bone density. The team values curiosity, initiative, and a drive to turn data into meaningful action. Role overview This internship is designed for individuals eager to apply data science skills to real-world challenges. The position involves building and refining machine learning models, optimizing data architectures, and supporting the company’s analytics efforts. Requirements Background in Data Science or a related field, with experience designing predictive models and optimizing AI applications. Strong programming skills in Python or R, with the ability to build and enhance machine learning models using statistical modeling and data science tools. Proficiency in SQL and relational databases, including writing efficient queries and optimizing data structures for large datasets. Understanding of machine learning algorithms such as regression, clustering, and neural networks. Experience with data warehouses like BigQuery, including designing and maintaining scalable data storage solutions. Ability to standardize and improve data models for efficiency, accuracy, and usability. Strong attention to detail for identifying trends, outliers, and opportunities in data. Entrepreneurial mindset, using data insights to generate business value. Those who are motivated by impactful work and want to contribute to a mission-driven company will find this internship rewarding. AlgaeCal welcomes candidates ready to turn data into action and support the company’s growth.

Join RESPEC Inc., a leader in environmental consulting, as a Senior Environmental Scientist or Engineer. In this pivotal role, you will leverage your expertise to analyze environmental data, develop sustainable solutions, and contribute to projects that make a positive impact on our planet. You will collaborate with a team of dedicated professionals and utilize cutting-edge technology to address complex environmental challenges.

Role overview Asana is seeking a Senior Data Engineer based in Vancouver, BC. This position centers on developing and enhancing the company’s data architecture. The Senior Data Engineer partners with teams throughout the organization to build and maintain scalable data pipelines that support business growth. What you will do Design, implement, and maintain data pipelines that adapt to evolving business requirements Work with cross-functional partners to gather and deliver on analytical needs Support and improve data infrastructure, ensuring reliable access for analytics and reporting Impact The solutions built in this role enable Asana to make informed, data-driven decisions. By maintaining effective and reliable data systems, the Senior Data Engineer helps ensure that analytics and reporting are accessible and trustworthy across the company.

Role Overview AfterShip is hiring a Senior Marketing Data Analyst in Vancouver. This position focuses on using data to improve marketing strategies and campaign performance. The analyst will examine marketing metrics, spot trends, and recommend steps to strengthen marketing results. What You Will Do Analyze marketing performance data to uncover patterns and opportunities Identify trends that impact campaign results and overall marketing effectiveness Provide clear, actionable recommendations to improve marketing efforts Support decision-making by connecting marketing activities to business goals Impact This role ensures marketing campaigns deliver measurable results and stay aligned with AfterShip’s business objectives. The insights provided will help shape future marketing strategies and drive growth.

Rivian and Volkswagen Group Technologies brings together two leaders in automotive innovation to shape the future of mobility. This collaboration focuses on developing advanced operating systems, zonal controllers, and cloud connectivity for software-defined vehicles. The team is dedicated to solving challenges in electric vehicle technology, aiming to set new standards in the industry. By combining expertise in connectivity, artificial intelligence, and security, the partnership works toward a more connected and sustainable future. Role overview The Senior Data Engineer, Ingestion Framework, joins the Data & AI Platform team in Vancouver. This role centers on supporting the big data platform, which operates at a petabyte scale. The main focus is on architecting and maintaining a custom vehicle data processing framework built with Go, and ensuring it integrates smoothly with the Databricks platform. What you will do Design and maintain a custom-built data ingestion framework using Go. Support seamless integration between the ingestion framework and Databricks. Help ensure reliable, large-scale operation of the vehicle data platform. Location This position is based in Vancouver, British Columbia.

At ZoomInfo, we accelerate careers and thrive in a fast-paced, innovative environment. Our team is built on collaboration and support, empowering everyone to achieve remarkable results. With cutting-edge tools and a culture that fosters ambition, you won't just be a contributor—you'll be a catalyst for growth and change.About the RoleWe are looking for a Senior Data Systems Analyst to take charge of our data pipeline, which is critical in processing millions of company records that drive our customers' market strategies. In this pivotal role, you will gain profound insights into our data acquisition, profiling, and output processes.You will dive into code to comprehend data transformations and system dependencies, providing valuable input during design discussions with our Engineering and Product teams. Your expertise will shape the future of our data infrastructure. As you grow your knowledge, you will lead strategic data enhancement initiatives that require both systems thinking and innovative problem-solving skills.This position focuses on understanding data systems at an architectural level rather than merely producing dashboards or SQL reports. You will tackle complex data challenges and ensure our pipeline infrastructure evolves to meet customer needs and maintain our competitive edge.During an active period of infrastructure transition, you will collaborate closely with fellow data analysts. As systems stabilize and your expertise deepens, you will take on greater ownership of the pipeline architecture and strategic projects, paving the way for your growth as the leading technical expert in our data systems.

Join Cerebras Systems as an AI/ML Research Scientist and be part of a pioneering team at the forefront of advanced technology. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop innovative solutions that will revolutionize the field. Collaborate with top-tier researchers and engineers to push the boundaries of what's possible.

Join Flagler Health, a dynamic healthtech innovator, as we revolutionize the delivery of healthcare services through cutting-edge AI-driven workflow automation, remote patient engagement, and comprehensive chronic care programs. Our platform has positively impacted over 1.5 million patients and is a trusted partner for healthcare providers and payers aiming to improve operational efficiency and patient outcomes while reducing costs. With a unique freemium model and limited competition, we are set to capture a significant portion of the $4.5 trillion U.S. healthcare market.Key ResponsibilitiesDatabricks Platform Expertise• Design, manage, and enhance data pipelines utilizing the Databricks platform.• Troubleshoot and debug Spark applications to ensure optimal performance and reliability.• Apply best practices in Spark computing and workload optimization.• Python Development• Write clean, efficient, and reusable Python code adhering to object-oriented principles.• Develop APIs to facilitate data integration and application functionality.• Create scripts and tools that automate data processing and workflows.MongoDB Management• Manage, query, and integrate data within MongoDB.• Ensure efficient data storage and retrieval tailored to application needs.• Optimize MongoDB's performance for handling large datasets.• Collaboration and Problem Solving• Collaborate closely with data scientists, analysts, and stakeholders to address data requirements and deliver effective solutions.• Identify and resolve technical challenges related to data processing and system architecture.

At ZoomInfo, we accelerate careers by fostering a fast-paced environment where bold thinking is encouraged. Join us to do the best work of your life alongside a supportive team that values collaboration, challenges the status quo, and celebrates achievements. We provide you with tools that enhance your impact and a culture that empowers your ambitions, allowing you to not just contribute but to truly make things happen.About the RoleWe are on the lookout for a Senior Data Engineering Analyst to become the go-to expert on our data pipeline, which is responsible for ingesting, processing, and profiling millions of company records that drive our clients' go-to-market strategies.In this pivotal role, you will develop a comprehensive understanding of our data flow—from acquisition to profiling and output. You'll analyze code to grasp data transformations and system dependencies, provide valuable insights during design discussions with Engineering and Product teams, and help guide the evolution of our next-generation data infrastructure. As you gain expertise, you will lead strategic data improvement initiatives that require both systems thinking and innovative problem-solving.This role transcends typical dashboard creation or SQL reporting; it focuses on understanding data systems architecturally, tackling ambiguous data challenges, and evolving our pipeline infrastructure to meet customer demands and maintain a competitive edge.Your collaboration with fellow data analysts will be crucial during our active infrastructure transition. As our systems stabilize and your expertise grows, you will progressively take ownership of the pipeline architecture and lead strategic initiatives. This position offers significant growth potential for those looking to be the technical authority on company data systems.

Numerixs-Quant is a dynamic, data-driven organization that fosters a collaborative work environment. We are seeking talented individuals who are passionate about making an impact in the algorithmic trading sector.We are excited to announce an opening for a Quantitative Analyst Intern at our Vancouver office. This internship spans a duration of 4 months. Our mission is to equip promising candidates with the necessary knowledge about our industry, markets, and products, making this an ideal opportunity for those looking to kickstart their careers in financial markets.About YouYou possess a strong intellectual curiosity and are driven by complex problem-solving challenges. Your enthusiasm for data analysis, coding, and applying theoretical concepts in practical scenarios sets you apart. You seek to achieve tangible outcomes through your research.You are adept at navigating imperfect datasets and continuously strive to enhance your analytical, modeling, and interpretive skills. You excel in a high-performance environment and value close collaboration with technically proficient colleagues.Your ResponsibilitiesIn the role of Quantitative Analyst Intern, you will engage in significant projects that bolster active trading strategies. Under the mentorship of seasoned researchers and portfolio managers, you will:Drive research projects to enhance existing trading strategiesAutomate elements of the trading system using PythonCreate and validate predictive signals leveraging actual market dataExamine extensive and complex datasets to uncover investment opportunitiesDeploy models and concepts in production-ready codeWork collaboratively with fellow researchers and the portfolio manager, taking ownership of your projectsYour QualificationsCurrently enrolled in or recently graduated with a Bachelor's or Master's Degree in mathematics, physics, statistics, engineering, or a related quantitative fieldExceptional analytical skills and meticulous attention to detailDemonstrated inquisitiveness and critical thinking skillsProficiency in converting concepts into functional codeExperience with Python programmingStrong foundation in statistics and mathematical modelingExcellent verbal and written communication skills

At ZoomInfo, we are committed to accelerating your career. We foster a fast-paced, innovative environment that empowers you to deliver exceptional results. You'll collaborate with passionate teammates who challenge and support one another, celebrating successes together. With advanced tools to enhance your impact and a culture that champions ambition, you'll not just participate—you'll drive change swiftly.About the RoleWe are on the lookout for a Senior Data Systems Analyst who will become the authority on our data pipeline—an intricate system responsible for ingesting, processing, and profiling millions of company records that fuel our customers' go-to-market strategies.In this pivotal role, you will develop profound knowledge about our data flow from acquisition through profiling and output. You'll analyze code to comprehend data transformations and system dependencies, contribute valuable insights to design discussions with Engineering and Product teams, and influence the advancement of our next-generation data infrastructure. As you gain expertise in our systems, you will spearhead strategic data enhancement initiatives that require a blend of systems thinking and innovative problem-solving.This position transcends mere dashboard creation or SQL report generation; it's about comprehensively understanding data systems at an architectural level, addressing complex data challenges, and ensuring our pipeline infrastructure evolves continuously to satisfy customer demands and sustain our competitive edge.You will collaborate closely with fellow data analysts during a dynamic infrastructure transition phase. As systems stabilize and your expertise grows, you will take on increased responsibility for the pipeline architecture and strategic initiatives. This role offers significant growth potential for an individual eager to become the go-to technical expert in company data systems.

Join our dynamic team at System Canada Technologies as a Senior Data Integration Analyst, where you will play a pivotal role in driving data integration strategies that empower our clients' success. You will analyze complex data sets, design integration solutions, and collaborate with cross-functional teams to ensure seamless data flow across various systems.This is an exciting opportunity for professionals looking to make a significant impact in the field of data analytics. You will leverage your expertise to enhance data quality, optimize processes, and contribute to innovative solutions that align with our business objectives.

Huawei Canada is excited to announce a permanent opportunity for a Research Scientist.About the Team:The AnShi Lab is dedicated to pioneering innovative software architecture for next-generation gateways, emphasizing file security and cutting-edge software advancements. Our mission revolves around conducting extensive mid- to long-term research aimed at generating valuable patents and directing the evolution of data communication gateway technologies. We strive to set industry standards through intelligent, cloud-based software engineering while nurturing local talent and expertise to form a high-performing technical team that enhances organizational capability and dynamism.Position Overview:Evaluate the performance metrics and scalability challenges of our existing network gateway policy engine, and investigate parallel algorithms for rule lookups and incremental updates on GPU and heterogeneous CPU/GPU or multi-core CPU systems.Research hybrid CPU/GPU architectures akin to high-speed Deep Packet Inspection (DPI) and pattern-matching systems.Develop and assess novel data structures for efficient network gateway rule matching.Implement high-quality solutions in C/C++, ensuring they meet production standards in terms of performance, robustness, and maintainability.Collaborate closely with product teams and malware research units to effectively integrate new engines and solutions into existing products.Contribute to patent applications and, when applicable, academic or industry publications.Engage in additional malware research initiatives as required.The anticipated annual compensation for this position ranges from $106,000 to $156,000, contingent upon qualifications, experience, and demonstrated expertise.

At Databricks, we are dedicated to empowering data teams in tackling some of the world's most challenging issues — from speeding up medical innovations to crafting the next wave of intelligent products. We achieve this by developing the premier Data Intelligence Platform, enabling our clients to transform vast amounts of data into profound, actionable insights. Founded by engineers and fueled by innovation, we are passionate about creating intuitive, high-performance user experiences that simplify complex data exploration. As a Senior Frontend Engineer specializing in Data Visualization, you will create interactive and scalable visual experiences that allow users to explore, analyze, and share insights from vast datasets. You will collaborate closely with designers, product managers, and backend engineers to develop the next generation of visualization frameworks, dashboards, and analytical interfaces within Databricks.