• You will be part of our Data Science team, responsible for developing, maintaining and evolving analytical solutions and machine learning models that support multiple business areas. • We operate in a collaborative environment with a strong engineering culture, a focus on data quality, and continuous improvement. • In this project, you will play a strategic role in migrating integrations, pipelines and data consumers currently running on AWS to the GCP ecosystem, ensuring operational continuity, reliability and adherence to data engineering and machine learning best practices. • Perform the migration of connections, pipelines and data consumption processes from AWS to GCP for the company's Data Science projects. • Adapt queries, integrations and data processing routines to run in the GCP environment, taking into account differences between services and SQL dialects. • Execute functional tests, consistency validations and data sign-off after migration processes. • Support the migration of analytical workloads and machine learning pipelines to equivalent services within the GCP ecosystem. • Work closely with data engineering, architecture and MLOps teams to ensure stability and efficiency of migrated solutions. • Identify and resolve issues related to performance, compatibility and governance during the cloud transition. • Document technical processes, data flows and architectural decisions related to the migration. • Contribute to standardization, automation and quality improvements in pipelines and analytical processes.

Associate Data Scientist   Hybrid             Operations        Full time Location: Vancouver BC CA Job Description: Machine Learning Maestro: You don’t just work with data—you decode it, predict the future with it, and turn it into action. Your models don’t just sit on a shelf—they shape strategy, optimize efficiency, and fuel company growth. You thrive on uncovering hidden patterns, validating hypotheses, and embedding machine learning models into real-world AI applications. If that sounds like you —read on.  AlgaeCal is looking for a top-tier Associate Data Scientist who can turn raw information into strategies that drive measurable results. This job will give you ALL the feels: At AlgaeCal, we’re driven by a single idea. To end the fear of bone loss. In the United States, an estimated 54 million people have low bone density.  The good news? AlgaeCal has the world’s only clinically-backed natural solution to this problem. We give hope to everyone worried about bone loss. If that excites you, you’ll find no better place to continue your career than at AlgaeCal.  This job might be for you if you’ve got… - Experience as a Data Scientist (or a similar role) and can back it up with a resume that shows real results. You’ve built predictive models, optimized AI applications, and refined data architectures that have had a measurable impact. You don’t just analyze numbers—you translate data into actionable insights that drive business decisions. - Serious coding skills in Python or R. You know how to build and refine machine learning models that actually work. You’ve used statistical modeling and data science tools to solve complex problems and unlock growth opportunities. - Expertise in SQL and relational databases. Writing efficient queries? Optimizing data structures? Your resume is packed with quantifiable examples that’ll make us drool with desire! You know how to work with large datasets, ensuring data is organized, accessible, and primed for analysis. - A deep understanding of machine learning algorithms. Whether it’s regression, clustering, or neural networks, you know how to choose the right approach for the right challenge. You don’t just apply models—you understand how they work under the hood. - Hands-on experience with data warehouses. BigQuery or similar? Check. You understand how to design, maintain, and optimize scalable data storage solutions that support robust analytics. - A knack for standardizing and improving data models. You’ve worked with data at scale, refining schemas and improving architectures to ensure efficiency, accuracy, and usability across the organization. - A laser-sharp eye for detail. You’re the kind of person who spots trends, outliers, and opportunities that others miss. Your ability to catch anomalies helps ensure our models and analytics are always on point. - An entrepreneurial approach to data. You don’t just crunch numbers—you think strategically about how data can be leveraged to create business value. You’re proactive in identifying new ways AI and machine learning can drive efficiency, sales, and profitability. - Industry know-how that adds value. If you’ve got experience in consumer packaged goods, e-commerce, or the health/supplement industry, that’s a huge plus. You understand how data can shape customer experience, optimize operations, and maximize ROI. Now, time to be honest: is this really you? If you’re nodding your head and feeling that flutter of excitement, then we can’t wait to meet you. Other Qualities You’ll Need At AlgaeCal we’re going to insist that you have these 3 qualities: - You’re humble––you put the team and others’ needs ahead of your own - You’re hungry to learn more - You’re people smart––in the sense that you’re a great teammate The truth is, if you don’t have these qualities you won’t last long at AlgaeCal. So if you’re missing one of them, be honest. Save yourself a lot of headaches and skip to a job posting that is a better fit for you. What Will You Earn?  We believe in rewarding top talent. So let’s talk about salary once we’ve had the chance to get to know you better. Rest assured, we’re generous and offer above-market pay for the right person. If you bring the skills and experience, we’ll make sure the compensation reflects that. You’ll also enjoy the following benefits: - Monthly team events and activities - Weekly team lunches - Casual dress code - Incredible dog friendly, Yaletown office one block from SkyTrain - Remote working is okay with us too. And above all, you’ll join a team that you’ll never want to leave. Culture is everything to us. Yes, we work extremely hard to change as many people’s lives as possible. But we know how to have fun and reward ourselves too. How To Apply So, do you have what it takes to become the next member of team AlgaeCal? Job opportunities like this don’t come along often, and we’ve got a lot to offer our successful applicant. So, to make sure our future Associate Data Scientist is the real-deal, will be a great fit, and will thrive at AlgaeCal, we ask a little more than your run-of-the-mill job application: If this sounds like a position for you, please respond to this advertisement with your resume and cover letter. Please, read carefully: 1. Write a cover letter addressing: - Why are you the best Associate Data Scientist for this role? Give quantifiable examples of related achievements. - Describe why you fit perfectly with our values. Read them here: https://drive.google.com/file/d/1deCCJZ6tiDiOSlr_W0UdCuM_V_ahzPBs/view - What's the toughest challenge you’ve ever overcome in your life? How did you overcome it? - What are the last three books you’ve read? - What do you do for fun? 2. Explain what you’re doing now for a job: -  If you don’t have one, explain why. -  If you have one, explain why you’re looking elsewhere. 3. Upload your cover letter and resume - Ensure that your cover letter and resume are saved and sent as one file. Yes, our hiring process is challenging, but it’s our way of selecting the best--and your way of ensuring your AlgaeCal teammates are tops.   ***Note: Please include your cover letter WITH your resume in one document. Applications without a cover letter will not be read!*** We are looking to hire as soon as we find the right person, so act quickly and you can also expect a prompt response.

Role Description Everforth ECS is seeking a Sr. Data Scientist to join our team remotely. This position is contingent upon contract award. Are you passionate about building intelligent search and retrieval systems and applying GenAI to solve real-world data challenges? Join ECS, a leading provider of cloud, AI, data, and enterprise transformation solutions. In this role, you will design and optimize next-generation search and retrieval experiences using Elasticsearch, Vector Search, and Retrieval-Augmented Generation (RAG) techniques to improve relevance, accuracy, and decision-making outcomes. We are seeking a Sr. Data Scientist focused on Search, RAG, and GenAI to support ECS’s Professional Services. The ideal candidate enjoys working at the intersection of data science, search relevance, and large language models (LLMs), collaborating with customers and internal teams to deliver intelligent, high-impact solutions. You will play a key role in shaping search architectures, advising on best practices, and applying advanced AI techniques to enterprise-scale data sets. This role offers the opportunity to work with cutting-edge GenAI technologies while directly influencing customer success across diverse environments and use cases. Key Responsibilities - Design, implement, and optimize intelligent search solutions using Elasticsearch, including lexical, semantic, and vector-based search techniques. - Apply Retrieval-Augmented Generation (RAG) patterns to enhance LLM-driven applications with accurate, relevant, and contextual enterprise data. - Consult with customers to understand business objectives, data landscapes, and search challenges, translating requirements into effective AI-powered search strategies. - Build and refine embedding strategies, indexing approaches, and query workflows to improve relevance, precision, and recall. - Evaluate and integrate LLMs and GenAI capabilities into enterprise search and analytics use cases. - Collaborate with data, AI, and platform teams to align GenAI solutions with existing systems and operational workflows. - Provide strategic recommendations to improve search performance, result explainability, and overall user experience. - Lead knowledge-sharing sessions, technical workshops, and enablement activities related to GenAI, RAG, and advanced search techniques. - Serve as a trusted advisor for customers and internal stakeholders on emerging trends in AI-powered search and retrieval. - Stay current with advancements in Elasticsearch, GenAI, LLM tooling, and search relevance methodologies. Qualifications - Hands-on experience applying Elasticsearch to search, analytics, or data science use cases. - Strong understanding of search concepts including relevance tuning, indexing strategies, and query optimization. - Experience working with data science or AI-driven solutions in enterprise environments. - Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP). - Ability to translate complex technical concepts into clear guidance for customers and stakeholders. - Strong analytical, problem-solving, and communication skills. - Willingness and ability to travel to customer sites as needed. - Must be a U.S. Citizen and have an active TS/SCI U.S. Security Clearance. - Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent experience). Requirements - Salary Range: $180,000 - $200,000

• Take ownership for the design, implementation, and support of AI-enabled products • Design, prototype, develop, and field predictive models and analytical approaches • Dive into data to discover hidden patterns and conduct error/deviation analysis • Ensure data quality throughout all stages of acquisition and processing • Visualize, analyze, and build predictive models with the data • Consult with and assist internal and external stakeholders to consume the results of AI-enabled models