We are hiring for a Senior Data Scientist. This role is onsite, please keep this in mind
About The Compan
yOur client helps medium and large enterprises accelerate growth, reduce operational friction, and differentiate in their markets through practical, high-impact AI and automation initiatives. Their philosophy is simple. AI is not the goal. Business outcomes and ROI are. The organization delivers consulting and AI and automation implementations that drive measurable value
.The Rol
eThis role is responsible for analyzing large volumes of structured and unstructured data to uncover trends and actionable insights that support intelligent automation initiatives. The position designs and validates predictive and prescriptive machine learning models, collaborates with engineering and product teams to integrate AI capabilities into existing platforms, and develops clear data visualizations for stakeholders
.The role works closely with cross-functional teams to identify data-driven improvement opportunities while continuously monitoring emerging AI and data science trends to drive innovation and best practices across the organization
Core Responsibiliti
esData Analys
isAnalyze large datasets, both structured and unstructured, to identify trends, patterns, and relationships that support automation and decision makin
g.Model Developme
ntDesign, build, and validate predictive and prescriptive models using machine learning and statistical techniques to solve complex business problem
s.AI Integrati
onPartner with engineering and product teams to integrate data science solutions into existing systems while aligning to business objective
s.
Who You
AreEducat
ionBachelor's, Master's, or PhD in Data Science, Statistics, Computer Science, Engineering, or a related fie
ld.Experie
nce5 to 10 years of industry experience in data science or related disciplines with a proven record of delivering business impa
ct.Technical Ski
- llsPython, R, or
- SQLMachine learning frameworks such as TensorFlow, PyTorch, or scikit-le
- arnStrong background in statistical analysis, predictive modeling, and data min
ing
