Data Scientist_4+Years_Toronto

# Data Scientist\_4+Years\_TorontoApexonFull TimemidToronto, Ontario, CAPosted Yesterday## Resume Keywords to IncludeMake sure these keywords appear in your resume to improve ATS scoringPythonAWSAzureSparkPandasNumPyTensorFlowscikit-learnDevOpsSign up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job DescriptionWe’re Hiring: Data ScientistLocation: Downtown Toronto , CanadaEmployment Type: Full-Time / ContractExperience: 5+ yearsAbout Apexon:Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents.We enable #HumanFirstDIGITALKey Responsibilitie* s:Build and deploy machine learning models to solve business proble* msPerform exploratory data analysis and extract actionable insigh* tsWork with large datasets to identify trends, anomalies, and opportuniti* esCollaborate with cross-functional teams to translate business needs into data solutio* nsDevelop predictive models for areas like fraud detection, customer behavior, or transaction analyticsRequired Skill* s:Strong experience with Python and* mSolid understanding of machine learning and statistical modeli* ngExperience with libraries like Pandas, NumPy, scikit-learn, TensorFlow, or PyTor* chExposure to cloud platforms (AWS / Azure / GC* P)Experience with big data tools (Spark / Hadoop) is a pl* usDomain experience in financial services, fintech, or payments (preferred)Nice to Hav* e:Experience with fraud detection / transaction data / risk modeli* ngKnowledge of data pipelines and ETL processes

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