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Experience Level
Senior
Qualifications
Proven experience in full-stack development with a focus on Python and React. Strong understanding of web development principles and design patterns. Experience with RESTful APIs and microservices architecture. Familiarity with cloud platforms and DevOps practices. Excellent problem-solving skills and a collaborative mindset. Strong communication skills, both verbal and written.
About the job
jobgether is looking for a Senior Full-Stack Engineer with strong skills in Python and React. This position is based in Canada and focuses on building and improving web applications that support the company’s goals.
Role overview
This role involves designing and implementing web solutions, working closely with colleagues from different teams. The Senior Full-Stack Engineer will help ensure that applications are efficient and meet business requirements.
What you will do
Develop and maintain web applications using Python and React
Collaborate with cross-functional teams to deliver features and improvements
Mentor junior developers and support their growth
Conduct code reviews and encourage high standards in software development
Impact
Contributions in this role will shape both the product and the technology stack at jobgether. The Senior Full-Stack Engineer will help set best practices and influence the direction of future projects.
About jobgether
At jobgether, we are committed to fostering an inclusive and innovative work environment. Our mission is to connect talented professionals with exciting job opportunities, and we pride ourselves on our collaborative culture that encourages growth and creativity.
Join the Grocery RevolutionAt Instacart, we believe in connecting people through the joy of food. Our mission is to ensure everyone has access to their favorite groceries and the time to enjoy them together. While many see grocery delivery as a simple service, we see a world of complexity and untapped potential to meet our community's diverse needs. We are d…
Full-time|CA$144K/yr - CA$176K/yr|Hybrid|Toronto, ON
Relay is an innovative digital banking platform designed to empower self-made entrepreneurs with essential financial tools and insights. Our mission is to eliminate financial uncertainty, providing clarity, confidence, and control over every dollar earned, enabling business owners to transform their hard work into enduring success.We are seeking an experienced Senior Data Scientist to join our impactful Data team. In this pivotal role, you will enhance Relay's data capabilities by developing predictive models, facilitating experimentation across various teams, and supporting data-driven decision-making processes. As a key strategic partner, you will collaborate closely with data engineering and business intelligence to translate complex business inquiries into actionable insights that drive success in GTM, Sales, Finance, and Product.Note: We operate in a hybrid work environment, collaborating in the office three days a week (Tuesday to Thursday).Key ResponsibilitiesLead predictive modeling initiatives across critical business areas such as customer lifetime value (LTV), churn analysis, retention strategies, and customer quality assessment.Facilitate the implementation of Relay's experiment infrastructure, establishing rigorous A/B testing protocols to enable confident, data-informed decisions across the organization.Collaborate with cross-functional teams including GTM, Sales, Finance, and Product to convert ambiguous business challenges into well-defined analytical problems with measurable outcomes.Define and refine core metric definitions to ensure the business operates from a consistent and reliable data foundation.Present insights and findings to stakeholders through compelling narratives that go beyond mere numbers, illustrating their implications and next steps.Contribute to strategic roadmap planning and influence prioritization decisions among data team members and cross-functional partners.Mentor junior data scientists to elevate the standard of business-aligned, impactful data science across the team.Ideal Candidate ProfileYou possess hands-on experience in building...
About the Role HelloFresh is looking for a Senior Data Scientist focused on menu personalization to join the team in Toronto, Ontario, Canada. This role centers on building and refining recommendation systems that help customers discover the most relevant and appealing menu options across HelloFresh’s global markets. What You’ll Do Design, implement, and improve algorithms for personalized menu recommendations. Work closely with other Data Scientists and collaborate with Data, Backend, and Machine Learning Engineers to turn statistical methods and ML models into real product features. Shape the customer experience by ensuring menu selections are tailored and engaging, directly impacting business growth. Propose multiple approaches to problems, drawing on past experience, and prioritize solutions by effort and potential impact. Balance independent work with team support, contributing as a senior member and offering guidance when needed. What Will Help You Succeed Curiosity and comfort with ambiguity. Ability to quickly learn and adapt to new challenges. Strong focus on identifying and prioritizing the right problems to solve. Experience customizing solutions for different business needs.
Internship|On-site|Vancouver, British Columbia, Canada
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.
Huawei Canada is excited to announce an immediate opening for a Senior Principal Researcher specializing in AI for Science.Join Our Innovative Team:At Huawei Canada, our Technology Planning and Cooperation Department is at the forefront of strategic innovation. Collaborate with top experts as we explore new technological frontiers and develop long-term strategies to fulfill Huawei's vision. This unique role allows you to blend both technical prowess and business acumen.As we advance our next-generation computing infrastructure and AI foundation models that seamlessly integrate physics, simulation, and learning at an unprecedented scale, we are seeking a visionary individual who can bridge the gap between scientific AI research and system-level innovation—propelling our mission to merge computing and connectivity, thereby facilitating large-scale AI for Science and simulation intelligence.Key Responsibilities:Engage in groundbreaking research at the intersection of scientific computation and AI infrastructure, focusing on areas such as physics-informed AI, distributed training, and hybrid simulation–ML workflows.Collaborate with Huawei’s Computation and Networking R&D teams to design infrastructure-aware AI models and optimize algorithms alongside hardware.Lead or significantly contribute to AI for Science foundation models in disciplines such as materials science, physics, molecular dynamics, or multi-scale simulations.Develop and prototype distributed training solutions and integrated AI pipelines utilizing Huawei’s MindSpore and Ascend AI ecosystems.Publish research findings in leading ML and scientific venues (e.g., NeurIPS, ICML, JHEP, PRD) and enhance Huawei’s internal intellectual property and R&D assets.Mentor junior researchers and contribute to the strategic planning of Huawei’s AI for Science and Computing Infrastructure initiatives.
Join our innovative team at Speechify as a Software Engineer specializing in Data Infrastructure & Acquisition. In this role, you will be instrumental in building and optimizing our data systems to enhance user experiences and drive our technology forward. We are looking for a passionate engineer who thrives on challenges and is eager to contribute to our mission of transforming the way people consume information.
Join our dynamic team at Tiger Analytics as a Data Engineer specializing in Snowflake. In this fully remote role, you will leverage your expertise in data engineering to build and optimize data pipelines, ensuring high performance and reliability in data processing. You'll collaborate with cross-functional teams to deliver data solutions that drive business insights and support data-driven decision-making.
Role Overview cima2 is seeking a Hydrology and Hydraulic Engineer with a focus on data modeling for the Montreal office. This position centers on applying hydrology and hydraulics knowledge to support project teams working on water management initiatives. What You Will Do Analyze and interpret hydrological and hydraulic data Develop and refine models to support project objectives Contribute technical expertise to project planning and development Support sustainable water management solutions through data-driven insights Location This role is based in Montreal.
MaintainX is the world's leading mobile platform dedicated to asset and task management in industrial and frontline environments. We offer a modern, cloud-based IoT solution that streamlines the maintenance, safety, and operation of physical equipment and facilities. Empowering over 12,000 organizations including Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, we help them achieve operational excellence and reliability at scale. Following our Series D funding round of $150 million led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, valuing the company at $2.5 billion. As we enter our next growth phase, we are heavily investing in AI/ML, LLMs, and industrial IoT to transform how frontline teams operate by predicting failures before they occur, automating workflows, and embedding intelligence into every asset and process.
Datatonic partners with organizations to help them manage and transform their data using Google Cloud. The team specializes in machine learning, data engineering, and analytics, supporting clients as they adapt to evolving business needs and seek actionable insights. Role overview The Lead Machine Learning Engineer - Team Lead will provide both technical leadership and people management for a group of engineers working on machine learning and data science projects. This role involves shaping project direction, mentoring team members, and supporting their development. The position is well suited to someone who enjoys change and wants to influence both team and company outcomes. Team leadership Guide the machine learning team with strategic and technical direction, ensuring practices align with industry standards. Recruit and onboard data scientists and machine learning engineers to build team capabilities. Mentor team members to support their technical growth and career progression. Foster a culture of inclusion, innovation, and open knowledge sharing. Conduct performance reviews, set objectives, and provide constructive feedback for continuous improvement. Project delivery Oversee complex machine learning projects from planning through deployment, focusing on quality and timely delivery within budget. Work with Delivery Managers to define project scope, set timelines, allocate resources, and monitor milestones. Location This position is based in Canada.
WHO ARE WE?Launch Potato is a thriving digital media enterprise that attracts over 30 million visitors each month through our various brands, including FinanceBuzz, All About Cookies, and OnlyInYourState.As the Discovery and Conversion Company, our goal is to connect consumers with premier brands through innovative, data-driven content and technology.With our headquarters in South Florida and a remote-first team spanning over 15 countries, we foster a high-growth, high-performance culture where speed, ownership, and measurable impact are paramount to our success.WHY JOIN US?At Launch Potato, you will fast-track your career by taking ownership of outcomes, embracing rapid growth, and making a significant impact alongside a global team of high achievers.
Join our dynamic team as a .NET Web Developer/Programmer, where you'll leverage your solid experience in .NET framework technologies to create innovative web and mobile applications. We value teamwork, enthusiasm, and a passion for problem-solving, fostering a fun and engaging work environment.Are you an analytical professional eager to learn and make a difference in the lives of people through technology? If so, we want you on our team!Key Responsibilities:Design, code, test, debug, and implement new web-based and mobile applications.Maintain and enhance existing C# code for web and mobile applications.Create and maintain SQL databases, tables, views, stored procedures, etc. (Microsoft SQL Server 2008+).Communicate project status and identify technical risks.Monitor and maintain application security and integrity.Support production systems, including analysis and troubleshooting of issues.Provide technical guidance to other team members.Collaborate with internal and external team members throughout the application life cycle.Assist in planning and documenting site architecture and artifacts.Implement and develop best practices and architectural standards.Evaluate and recommend appropriate technologies based on product needs and industry trends.Develop creative solutions and write technical design and architecture documents.Re-architect legacy applications to ensure scalability and cloud readiness.
adf Medical Services Inc. is hiring a Data Analyst based in Toronto, Ontario. This role centers on interpreting data and presenting findings as actionable insights. The analysis directly supports decision-making and aims to improve the quality of medical services provided. Key Responsibilities Examine complex datasets to uncover trends and patterns relevant to the organization Create reports that guide both business and clinical choices Contribute to ongoing initiatives by offering data-driven recommendations to enhance medical services Location This position is located in Toronto, Ontario, Canada.
Full-time|CA$118K/yr - CA$152K/yr|On-site|Canada - Montreal
Role overview Capco is seeking a Senior Machine Learning Engineer based in Montreal, Canada. This position centers on designing, developing, and refining machine learning models that drive data-informed decisions for clients in the financial services industry. The work covers the complete machine learning lifecycle: from experimentation and deployment to monitoring and continuous improvement. Generative AI and large language models are central to many of the solutions developed in this role. Main responsibilities Build and maintain machine learning models to address key business challenges Manage all phases of the model lifecycle, including feature engineering, tuning, evaluation, and calibration Use predictive analytics and develop queries to extract insights from complex datasets Test, benchmark, and monitor model performance over time Collaborate with stakeholders to translate business needs into scalable AI solutions Requirements Over 5 years of experience in machine learning or data science roles Strong Python programming abilities and hands-on experience building machine learning models Solid understanding of machine learning concepts, model lifecycle, and established practices Experience with large language models, generative AI, and designing queries Analytical approach and clear communication skills, comfortable working with both technical and business teams Preferred qualifications Background in wealth management or financial services (considered an asset) Knowledge of deploying, monitoring, and retraining models in production environments Experience with cloud-based AI platforms or scalable data infrastructure Familiarity with workflow automation or optimization tools Experience working within agile or cross-functional teams Why join Capco? Work on innovative solutions alongside a collaborative team Partner with recognized experts in the field Grow your career in a supportive and inclusive environment Competitive salary and benefits
Join our dynamic team as a Data Scientist, where your passion for Machine Learning meets your expertise in Statistics and Computer Science. You will work on innovative data science projects utilizing both structured and unstructured data, with the goal of developing scalable machine learning models that impact business outcomes. Your role will involve creating data products that provide valuable insights, and your critical thinking and problem-solving skills will be key to your success.
WHO ARE WE?Launch Potato is a thriving digital media company that engages over 30 million visitors each month through various brands including FinanceBuzz, All About Cookies, and OnlyInYourState.As the Discovery and Conversion Company, our goal is to connect consumers with top brands through data-driven content and innovative technology.With our headquarters in South Florida and a remote-first approach across 15+ countries, we've cultivated a dynamic, high-growth culture where speed, ownership, and measurable impact are key to our success.WHY JOIN US?At Launch Potato, you will fast-track your career by taking ownership of outcomes, accelerating processes, and making an impact alongside a global team of high achievers.
Chainalysis seeks an Engineering Manager to lead the Data Cloud team in Ontario. This position focuses on building secure, scalable, and reliable cloud-based data solutions. The manager will guide a team of engineers, foster innovation, and influence the technical path of ongoing projects. Key responsibilities Manage project schedules and keep cloud-based product delivery on track Mentor and support the engineering team Collaborate with other departments to deliver quality solutions Shape and refine the company’s approach to cloud technologies Lead decisions around the technical direction of data infrastructure Location This role is based in Ontario.
Join our dynamic team at Cygnus Professionals Inc. as a Data Scientist and Analytics Developer! In this pivotal role, you will leverage your analytical skills to transform data into actionable insights and drive business strategies. You will collaborate with cross-functional teams to develop innovative analytics solutions that meet our clients' needs.
Join Forward Financing, a dynamic financial technology company headquartered in Boston, Massachusetts, with a diverse team operating across the United States, Dominican Republic, and Canada. Our mission is to empower small businesses across America by unlocking the capital they need to thrive. Recognized as a Best Place to Work by Built In Boston and certified as a Great Place To Work®, we are committed to investing in our employees, innovative technology, and exceptional customer experiences to ensure long-term success.We are looking for a Senior Data Scientist to lead comprehensive data science projects, transforming complex data into actionable insights and automated solutions that enhance our operations. In this role, you will leverage your advanced modeling capabilities and business acumen to construct, deploy, and scale sophisticated analytical solutions that yield significant impacts across all areas of Forward Financing.Key Responsibilities:Design, develop, and implement advanced statistical and machine learning models focused on credit risk, pricing, collections, fraud detection, and other critical business scenarios that foster informed decision-making.Manage the complete model lifecycle, from initial data exploration and feature engineering to deployment, monitoring, and continuous enhancement.Collaborate with cross-functional teams in Portfolio Strategy, Collections, Engineering, Product, Underwriting, and Sales to seamlessly integrate models into our applications.Effectively communicate complex technical concepts, model outputs, and business implications to both technical and non-technical stakeholders.Create production-quality code and contribute to internal toolkits, documentation, and peer code reviews to ensure excellence in delivery.Develop and maintain reliable production machine learning pipelines and monitoring systems to ensure model performance, scalability, and ongoing improvement.Reasons to Apply:Mission-driven environment: As a trusted source of fast, flexible funding for small businesses often overlooked by traditional financing, your work will help ensure that all small businesses have the financial support necessary to succeed.Commitment to flexibility: We prioritize empowering our employees to choose their work environment (home, office, or a blend) with adaptable working hours.
WHAT MAKES US EPIC?At the heart of Epic’s achievements are extraordinary, passionate individuals. We take pride in fostering a collaborative, inclusive, and innovative environment. From creating award-winning games to developing cutting-edge engine technology that empowers others to craft visually breathtaking interactive experiences, we are committed to constant innovation.Being part of Epic means joining a team that strives to serve our community and users with integrity. We are dedicated to continuously pushing the boundaries of engine and game development.ANALYTICSOur MissionOur Data & Analytics teams craft compelling narratives and visuals that guide the games we create, the technologies we develop, and the business strategies that propel Epic forward.Your ImpactEpic Games is seeking an experienced Lead Data Scientist to join our Gameplay Analytics team. In this role, you will head a team of Data Scientists and Data Engineers, overseeing the complete life cycle of data asset creation, reports, and insights that influence the strategic direction across Epic’s diverse portfolio, particularly our Shooter Games (Battle Royale, Reload, OG, Blitz). The ideal candidate will leverage a variety of data technologies, statistical approaches, and visualization techniques to guide development and product teams, manage a small team, and collaborate with stakeholders throughout the organization.Your ResponsibilitiesCollaborate with design, game development, and product management teams to identify opportunities for our first-party games and the business, utilizing data to establish metrics and insights that inform strategic execution.Engage with engineering and data platform teams to accurately define and capture the data necessary for deriving insights and building data models.Convert raw data into meaningful data models, production metrics, reports, and actionable insights.Continuously assess the effectiveness of metrics and ensure alignment with long-term ecosystem growth objectives.Partner with design, product, and analytics teams to rigorously design, test, and learn from experiments that enhance our games.Lead a small team of data analysts, providing mentorship and setting the strategic direction for our analytics initiatives.Desired QualificationsA minimum of 5 years of relevant industry experience, demonstrating a strong interest in and understanding of live service video games.At least 2 years of experience managing a team of data professionals.
