Senior Data Scientist R
Job Location:
Monthly Salary:
Posted on:
4 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Data Scientist
Primary Skills
- Hypothesis Testing T-Test Z-Test Regression (Linear Logistic) Python/PySpark SAS/SPSS Statistical analysis and computing Probabilistic Graph Models Great Expectation Evidently AI Forecasting (Exponential Smoothing ARIMA ARIMAX) Tools(KubeFlow BentoML) Classification (Decision Trees SVM) ML Frameworks (TensorFlow PyTorch Sci-Kit Learn CNTK Keras MXNet) Distance (Hamming Distance Euclidean Distance Manhattan Distance) R/ R Studio
Specialization
- Data Science Advanced: Data Specialist
Job requirements
- AI Developer Anaplan Key Responsibilities AI Engineering & Development Build and deliver internal enterprise AI solutions including LLM integrations agentic AI workflows Gemini Enterprise features and supporting data pipelines designed for the scale security and reliability requirements of a global workforce. Develop code in Python following the AI engineering standards coding practices and technical guardrails. Participate in technical design reviews and contribute implementation input during intake design and production deployment phases. Evaluate and prototype new AI tools frameworks and platforms providing input on findings to support technical recommendations. Contribute to the development and maintenance of the LLM abstraction layer and multi-model integrations. Support technical debt remediation system observability and scalability improvements for Anaplans internal AI systems. AI Platform Governance & Enablement Support the AI intake process by contributing technical assessments of feasibility build complexity and integration requirements for employee-facing tools. Ensure all assigned internal AI initiatives meet engineering security compliance and responsible AI standards before and during development. Develop AI solutions against clear technical specifications Build and maintain integrations across core enterprise systems (Salesforce ServiceNow Gainsight Workday) as directed. Implement human-in-the-loop explainability and auditability features as required for decision-impacting AI systems. Support AI agent lifecycle management including monitoring feedback loops and continuous improvement. AI Operations & Workforce Adoption Contribute to the technical deployment and operationalization of AI agents and solutions supporting production readiness and stability for Anaplan employees. Support Gemini Enterprise adoption and participate in AI Friday sessions with technical demonstrations and knowledge sharing. Help build and maintain engineering dashboards tracking internal AI system performance adoption rates and ROI metrics. Communicate engineering decisions and solution outcomes clearly to technical peers and team leads. Innovation R&D & Emerging Technology Research and prototype emerging AI/ML techniques large language models agent frameworks and enterprise tooling to identify internal productivity and cost-saving opportunities. Contribute to proof-of-concept pilots that validate novel internal use cases before committing to full engineering investment. Maintain and contribute to the AI innovation pipeline a living backlog of high-potential experiments. Cross-Functional Technical Partnership Work alongside the Transformation & Financial Flexibility team to support identification and technical validation of AI-driven cost-saving opportunities in Anaplans internal operations. Act as a technical contributor and AI subject matter resource to business units identifying internal AI use cases. Build collaborative working relationships across Engineering Security Compliance Legal and HR. Required Qualifications 5 years of software or AI/ML engineering experience with a focus on building and shipping production-grade AI or data-driven applications. Hands-on experience with the AI/ML stack: LLMs retrieval-augmented generation (RAG) agent frameworks or MLOps pipelines with exposure to enterprise or workforce deployment contexts. Experience developing and deploying AI applications in cloud environments including reliability observability and performance considerations. Proficiency in Python and familiarity with enterprise cloud AI platforms (GCP Vertex AI Azure AI or AWS SageMaker) and AI orchestration tooling. Exposure to Google Workspace AI and Gemini Enterprise or equivalent enterprise AI platforms (e.g. Microsoft Copilot OpenAI Enterprise). Ability to work effectively within defined architectural standards and del
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
