Senior Data Scientist @ Sand Technologies | Jobright.ai
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Sand Technologies ยท 3 hours ago

Senior Data Scientist

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IT Services and IT Consulting

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Responsibilities

Conduct independent (and collaborative) research and development of data science and machine learning models; develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources.
You are skilled in, and continue to improve upon you knowledge of decision science, communicating data, domain modelling, predictive modelling, advanced analytics, MLOps, Research and AI Ethics with the willingness to up skill others in these competencies.
Collaborate with cross-functional teams: work closely with cross-functional teams to apply data science and machine learning models to business problems, ensuring that models are integrated into products and services.
Communicate results and impact: communicate results and impact to stakeholders, including technical and non-technical audiences.
Stay current with industry developments: keeps up to date with developments across data science and machine learning, identifying opportunities for applied research and development.
Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonMachine LearningData ScienceMLOpsCloud Provider (Azure)Machine Learning AlgorithmsData AnalysisStatistical AnalysisDecision SciencePredictive ModellingGIScGraph TheoryTime Series ModellingXAICollaboration Skills

Required

Fluency in Python with experience with at least one cloud provider; preferably Azure.
Qualified experience in a related field, including, but not limited to, Data Science, Machine Learning & Computer Science.
5+ years of experience in data science and machine learning, with a strong track record of independent research and development a plus.
Strong technical background, with expertise in a range of machine learning algorithms and data science techniques.
Strong experience in delivery across the lifecycle of machine learning products, adhering to robust software engineering practices.
Excellent communication, with the ability to communicate complex data science concepts to technical and non-technical audiences.
Strong collaboration skills, with the ability to work effectively with cross-functional teams.
Passion for data science and machine learning, with a desire to continuously learn and innovate.

Preferred

Experience with GISc (raster & vector-based workflows), graph theory, time series modelling and XAI.
Experience sharing research in academic or industry forums, and drive to expand Sand's industry footprint.
Experience in retail, utilities (e.g. water or telco) or financial services industries.

Company

Sand Technologies

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Sand Technologies implements AI and digital transformation projects for leading organizations and governments around the world.

Funding

Current Stage
Late Stage
Company data provided by crunchbase
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Orion

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