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** **L 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 wit **h Pytho** n an **d** * 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 es