Data scientist (AI/ ML) at Datmos — NeverHard

(EN) Datmos brings together passionate experts who combine creativity and data to craft inspiring eCommerce experiences. Driven by a shared passion for excellence , we help visionary brands grow by aligning commerce strategy, digital experience, and technology implementation to deliver innovative, data-driven digital commerce solutions. _________________________________ Datmos is hiring a Data Scientist (AI & ML)! As part of our continued growth and our clients increasingly seek data-driven strategies, Datmos is looking for its next Data Scientist (AI & ML) to work closely with high-profile clients across North America . This role will be instrumental in helping us design and deploy AI-driven solutions that create value for both our clients and our internal teams. From predictive modeling to natural language processing and machine learning applications, we want to push the boundaries of what’s possible with data . The ideal candidate will work closely with strategists, developers, and business leads to bring AI concepts to life — grounded in solid data science practices. By adding this expertise to our team, we aim to deepen our competitive edge, deliver smarter recommendations, and explore new opportunities where AI can drive meaningful impact. This role is essential in supporting our vision to become a data-first organization. The Data Scientist will collaborate with cross-functional teams to design predictive models, develop advanced analytics solutions, and ensure our recommendations are grounded in robust, reliable data. By joining our team, you’ll play a key role in shaping how we use data to drive impact for our clients and for our business. Key Responsibilities: Collect, clean, preprocess, and validate both structured and unstructured data from various sources Enhance data pipelines and collection methods to ensure completeness and relevance for modeling Perform exploratory data analysis to uncover trends, anomalies, and insights Design, train, and optimize machine learning models (e.g., classifiers, regressors, clustering algorithms) Conduct feature selection and engineering to improve model performance Develop predictive systems and deploy algorithms in collaboration with engineering teams Present analytical findings through clear visualizations and business-friendly narratives Partner with business stakeholders to understand challenges and propose data-driven solutions Collaborate cross-functionally with Business, IT, and Data Engineering teams to operationalize insights Minimum 5 years of experience as a Data Scientist, or in data management/AI within a technology-driven or IT-focused company Hands‑on experience with NCP server (Network Control Protocol or related network server technologies) Proven proficiency in Python and SQL for data manipulation, modeling, and automation in an enterprise IT environment Strong experience using modern data visualization tools, such as Quicksight, Metabase, Looker, or similar, ideally in cloud-based or SaaS ecosystems Solid understanding of machine learning and statistical modeling, including regression, Bayesian methods, time-series forecasting, and causal inference Direct experience working with cloud data warehouses like Snowflake and/or BigQuery, preferably in scalable, tech-driven infrastructures Ability to translate business and technical needs into clear, data-driven insights and scalable solutions, particularly in a software, IT, or digital context Experience collaborating with cross-functional teams in Agile or DevOps environments (e.g., developers, product managers, data engineers) Bilingual: Fluent in both English and French (spoken and written), as the role involves communication with clients and stakeholders in both languages (French is an asset) Soft skills & Nice to have : Strong interpersonal skills: effective communication, active listening and collaborative work Able to work independently and manage competing priorities with flexibility and agility Excellent analytical and problem-solving Snowflake or GCP certifications Experience with cloud environments (GCP, AWS, Azure) Familiarity with MLOps tools or deployment pipelines (e.g., MLflow, Airflow, CI/CD for models) Familiarity with OCR tools and models (e.g., Tesseract, AWS Textract) Any relevant cloud/data certifications Reaching your full potential : Work with well known brands across North-America such as Five Below, Skullcandy, Yeti Cycles, Mountain Equipment Company, Casper, Jackson Mountain Resort, Group CH and many more, and global renown partners in the digital such as Bloomreach, Shopify, Big Commerce, Akeneo, Klayvio, Adobe etc. Grow your expertise: Have complete access to all the certifications you want and train while being paid. Bring your innovative ideas and your experts' eyes , to contribute to the development of our vision. Learn from the best: work with more than 100 certified experts in one of the most recognized agencies in the market. Putting yourself first : Access to health Insurances paid in part by the employer (Group insurance for you and your family). Vacations and mobile days to take some rest. Disconnection policy to promote work-life balance Flexibility in your work location and your work hours (Offices in the US and Canada) A recognition program in the form of gift cards or donations to associations Datmos has been recognized as one of the best workplaces in Canada by Great Place to Work since 2022. Don’t wait any longer and join the team! #J-18808-Ljbffr