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Co-Founder at Catalyst Edge AI | Driving Data Transformation with AI Solutions & Professional Services | Empowering Enterprises with Scalable AI…Position : Data Scientist
About CEAI
CEAI is a young, agile AI and data transformation service provider dedicated to delivering rapid, value-driven solutions to mid-tier BFSI, Telco, and Retail organizations.
We specialize in guiding clients from basic data awareness (Phase 0–2) to tangible analytics outcomes that enhance operational efficiency and spur growth.
Key Responsibilities
Collaborate with cross-functional "pods" (Project Lead, Data Engineer, SMEs) to design and implement short-term analytics pilots (4–8 weeks).
Developproof-of-concept models(e.g., churn, demand forecasting, risk analytics) using various cloud-based analytics tools or MLOps platforms (e.g., KNIME, Databricks, Alteryx, Azure ML).
Build, test, and fine-tunepredictive models , ensuring they meet defined KPIs (accuracy, ROI impact, etc.).
Performfeature engineering , data cleansing, and transform raw data into insights relevant to BFSI, Telco, or Retail use cases.
Platform & Tooling Expertise
Leverage user-friendly data pipelines and automation features in modern analytics environments.
Maintainversion control , document experiments, and enforce best practices in model deployment.
Client-Facing Consultations
Translate complex analytics concepts into straightforward business value for non-technical stakeholders.
Conduct data-drivenworkshopsor demos that highlight potential quick wins and pilot results.
Scalable Solutions
Recommendlong-term improvements(e.g., governance strategies, advanced ML pipelines) after successful pilots.
Work closely with Data Engineers and SMEs to prepare clients for subsequent phases of data maturity.
Stay current withdata science trends(machine learning, deep learning, MLOps).
Experiment with new algorithms or frameworks to boost pilot efficiency and effectiveness.
Required Qualifications
Education & Experience
Bachelor's or Master's in Computer Science, Statistics, Mathematics, or related field.
2–5 years of experience in data science or advanced analytics, ideally within BFSI, Telco, or Retail projects.
Technical Skills
Proficiency inPythonorR , plus SQL for data querying.
Familiarity withcloud-based analytics platforms(e.g., KNIME, Databricks, Alteryx, Azure ML) or equivalent.
Strong background inML algorithms(supervised/unsupervised learning, time-series forecasting).
Analytical & Problem-Solving
Demonstrated track record in building and optimizing data models for real-world business challenges.
Ability tointerpretlarge datasets andcommunicateresults to both technical and non-technical audiences.
Soft Skills
Excellentcollaborationandcommunicationto work seamlessly across functions and present findings.
Comfortable in afast-pacedpilot environment with evolving requirements.
Preferred Qualifications
Domain Knowledgein BFSI (risk, compliance), Telco (churn, usage data), or Retail (inventory, sales forecasting).
Exposure toMLOpsand productionizing models on cloud environments (AWS, Azure, GCP).
Experience handlingregulatory/compliancedata (especially in BFSI contexts).
What We Offer
Agile Startup Environment : High impact, rapid decision-making, and close collaboration with founding team.
Professional Growth : Ongoing training in advanced ML techniques, tool certifications, and domain-specific analytics.
Opportunity to Drive Change : Transform mid-sized Malaysian enterprises through data-driven innovation.
Competitive Compensation : Attractive salary package and profit-sharing potential
Seniority level : Mid-Senior level
Employment type : Full-time
Job function : Engineering and Information Technology
Industries : Information Services#J-18808-Ljbffr