- Company Name
- Trispoke Managed Services Pvt. Ltd.
- Job Title
- Data Scientist (USC Only)
- Job Description
-
**Job title:** Data Scientist (USC Only)
**Role Summary:**
Develop, deploy, and maintain advanced AI and machine learning solutions, including large language models (LLMs), for enterprise-scale business problems across supply chain, operations, workforce, and logistics. Lead end‑to‑end data science projects, collaborate with stakeholders to translate requirements into actionable models, and communicate insights to technical and non‑technical audiences.
**Expectations:**
- 6+ years of professional data science experience with a strong focus on generative AI, LLMs, and complex machine‑learning pipelines.
- Proven ability to own complete project life cycle from data discovery to production deployment in high‑performance computing and cloud environments.
- Demonstrated communication, presentation, and stakeholder‑management skills.
**Key Responsibilities:**
- Own end‑to‑end solutions: design, develop, train, and deploy robust ML algorithms, including large language models using transformers, RNNs, and other deep‑learning techniques.
- Collaborate with business stakeholders to elicit requirements, build use cases, and translate them into data‑driven solutions.
- Conduct comprehensive data discovery: cleaning, preprocessing, transforming raw data for modeling while ensuring quality and integrity.
- Create visualizations and reports to present insights to both technical teams and business audiences.
- Design and implement containerized solutions with Docker; integrate DevOps practices, CI/CD pipelines, and cloud‑based data warehousing.
- Work with large‑scale datasets in high‑performance and big‑data environments (AWS Glue, Apache Spark, etc.).
- Map ingestion workflows to standard business models such as OAGIS, facilitating data consistency and interoperability.
**Required Skills:**
- 6+ years as a Data Scientist; expertise in generative AI and LLMs.
- Strong knowledge of LLM architectures, Agent + RAG systems, and their application in enterprise data science.
- Proficient in Python/R and machine‑learning libraries (LangChain, scikit‑learn, TensorFlow, PyTorch).
- Experience in data visualization tools: Tableau, Power BI, or equivalents.
- Familiarity with Docker, CI/CD pipelines, and DevOps practices.
- Cloud platform proficiency (AWS, Azure, or Dataiku).
- Solid grasp of data modeling, statistical inference, and ML techniques.
**Required Education & Certifications:**
- Bachelor’s degree (minimum) in Computer Science, Statistics, Mathematics, or related field.
- Master’s or Ph.D. preferred.
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