Data Scientist_4+Years_Toronto

We’re Hiring: Data Scientist

Location: Downtown Toronto , Canada

Employment Type: Full-Time / Contract

Experience: 5+ years

About 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 #HumanFirstDIGITA

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Key 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 analyti

csRequired 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 (preferre

d)Nice to Hav

• e:Experience with fraud detection / transaction data / risk modeli
• ngKnowledge of data pipelines and ETL process

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