
Data Scientist – Data Science
Datmos
full-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
About the role
- Collect, clean, preprocess and validate structured and unstructured data from various sources.
- Improve 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 such as classification, regression and clustering models.
- Carry out feature selection and engineering to improve model performance.
- Develop predictive systems and deploy algorithms in collaboration with engineering teams.
- Present analytical results using clear visualizations and narratives 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 of 5 years’ 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 within scalable, technology-driven 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 multidisciplinary 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 employer-partially funded group benefits (coverage for you and your family).
- Vacation and floating holidays to rest.
- Right-to-disconnect policy to support work–life balance.
- Flexibility in 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 certifications of your choice and paid time to train.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data cleaningdata preprocessingdata validationexploratory data analysismachine learningfeature selectionfeature engineeringpredictive modelingPythonSQL
Soft Skills
communicationcollaborationproblem-solvinganalytical thinkingbusiness acumen