Advanced Data Scientist developing in - house and third - party analytical systems at Honeywell. Leverage AI - ML models and data mining techniques to enhance security insights.
About the role
- Datmos is hiring a Data Scientist to develop AI-driven solutions for clients across North America. Collaborate with cross-functional teams to enhance data-driven strategies and analytics.
Responsibilities
- Collect, clean, preprocess and validate structured and unstructured data from multiple sources.
- Improve data pipelines and collection methods to ensure completeness and modeling relevance.
- Perform exploratory data analysis to uncover trends, anomalies and insights.
- Design, train and optimize machine learning models such as classification, regression and clustering models.
- Perform feature selection and feature engineering to improve model performance.
- Develop predictive systems and deploy algorithms in collaboration with engineering teams.
- Present analytical results using clear visualizations and storytelling tailored to business needs.
- Partner with business stakeholders to understand challenges and propose data-driven solutions.
- Collaborate cross-functionally with commercial, IT and data engineering teams to operationalize insights.
Requirements
- Minimum 5 years of experience as a Data Scientist, or in data/AI management, within a technology-focused or IT-specialized company.
- Practical experience with an 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 with modern data visualization tools such as Quicksight, Metabase, Looker or equivalents, ideally in cloud or SaaS environments.
- Deep understanding of machine learning and statistical modeling, including regression, Bayesian methods, time series forecasting and causal inference.
- Direct experience with cloud data warehouses such as Snowflake and/or BigQuery, preferably in scalable, technology-focused infrastructures.
- Ability to translate business and technical needs into clear, data-driven analyses 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).
- Bilingualism: proficiency in English and French, both spoken and written, as the role involves communications with clients and stakeholders in both languages (French is an asset).
Benefits
- Access to group benefits partially covered by the employer (group insurance for you and your family).
- Vacation and flexible days for rest.
- Right-to-disconnect policy to support work–life balance.
- Flexibility of work location and hours (offices in the United States and Canada).
- Recognition program in the form of gift cards or donations to charities.
- Full access to any certifications you want and paid training while you learn.
- Work with over 100 certified experts at one of the market’s most recognized agencies.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Head of Analytics leading strategies for Customer Care and Shipping Analytics at Back Market. Focused on elevating customer satisfaction and operational efficiency through data - driven insights.
Data Scientist at Assembly building and automating media intelligence models. Collaborating with consultancy leadership to define analytical approaches to business challenges.
Senior Data Scientist focusing on ML systems for Walmart's Trust and Safety. Collaborating on compliance models and overseeing the full model lifecycle.
Head of Data leading development and execution of data strategy at Verity. Mentoring a team to deliver insights and drive business growth while collaborating with multiple departments.
Senior Data Scientist responsible for credit modeling at Clair, utilizing machine learning to assess risk and optimize decisions. Collaborating with cross - functional teams and deploying models in production environments.
Senior Product Manager responsible for transforming user needs into scalable products for Seyna. Collaborating with internal teams to enhance insurance programs and streamline workflows.
Founding AI Data Scientist helping Grand build core AI and data systems for decision - making. Collaborating with teams to leverage complex data for impactful AI solutions.
Data Scientist responsible for AI model development and deployment across client projects. Building reliable AI applications ensuring client success and operational excellence.
Data Science Senior Consultant at Squarcle advising on data science and digital challenges. Collaborating with clients to enhance business efficiency and profitability through data - driven strategies.