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Data Scientist (Research & Innovation)

Virtual Hire Staffing

US · On-site Full-time Yesterday

About the role

About TechDelivery

TechDelivery drives digital innovation by connecting top talent with cutting-edge projects in Data, Cloud, and AI. Become part of our global team and grow your career in a collaborative, diverse, and impact-driven environment.

Leverage complex healthcare and multi-source datasets to build insights and AI agents. Develop predictive models and Generative AI solutions that enhance analytics products and platforms across the organization.

Key Responsibilities

  • Ingest, clean, and analyze multi-source datasets (batch and streaming).
  • Build predictive/explanatory models and workflows based on GenAI and AI agents.
  • Translate technical findings into clear business narratives, dashboards, and APIs.
  • Collaborate with product, engineering, and business stakeholders in a global setup.

Requirements

  • Mandatory: Python, SQL, Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, Spark, Power BI, Tableau, Statistics, Experimentation, Feature Engineering, Basic MLOps, Generative AI, LLMs, AI Agents.
  • Nice-to-have: Azure ML, Databricks, Feature Store, Vector DBs, LangChain, Model Monitoring, Healthcare Data.

What We Offer

We offer a friendly, collaborative, and relaxed work environment, participation in cutting-edge GenAI initiatives, career development plan, and mentoring opportunities.

TechDelivery automates and optimizes the software development, deployment, and operations lifecycle across cloud environments, ensuring scalability, availability, and security.

Friendly, collaborative, and relaxed work environment, involvement in automation and reliability initiatives, and opportunities for growth and continuous learning.

Equal Employment Opportunity

TechDelivery is an equal opportunities employer and welcomes applications from diverse candidates.

Skills

AI AgentsBasic MLOpsExperimentationFeature EngineeringGenerative AILLMsNumPyPandasPower BIPyTorch/TensorFlowPythonScikit-learnSparkSQLStatisticsTableau

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