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From Home Learning Analytics Jobs in Texas (NOW HIRING)

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

Key Responsibilities Structured Data - Machine Learning & Analytics * Build, deploy, and optimize ... Flexible work from home options available.

kept.pro

Accountant (WFH)

Houston, TX · On-site

... and analytical ability to delight clients. Do you have at least 4 years of experience with ... a continuous learning mindset * excited to leverage technology to increase productivity ...

kept.pro

Accountant (WFH)

Dallas, TX · On-site

... and analytical ability to delight clients. Do you have at least 4 years of experience with ... a continuous learning mindset * excited to leverage technology to increase productivity ...

kept.pro

Accountant (WFH)

Dallas, TX · On-site

$61K - $82K/yr

... and analytical ability to delight clients. Do you have at least 4 years of experience with ... a continuous learning mindset * excited to leverage technology to increase productivity ...

ExxonMobil

LMS & Analytics Advisor

Spring, TX · On-site

Ensure learning content is sustained, current, reinforced, and aligned with performance ... Please note benefits may be changed from time to time without notice, subject to applicable law.

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All JobsLearning Analytics JobsFrom Home Learning Analytics JobsFrom Home Learning Analytics Jobs in Texas

From Home Learning Analytics information

What is the difference between From Home Learning Analytics vs From Home Education Data Analyst?

AspectFrom Home Learning AnalyticsFrom Home Education Data Analyst
CredentialsBachelor's in Education, Data Science, or related fieldsBachelor's or Master's in Education, Data Analysis, or Statistics
Work EnvironmentRemote, educational institutions, e-learning platformsRemote, schools, educational organizations, edtech companies
Industry UsagePrimarily in online learning and educational technologyAcross education sectors analyzing student data and learning outcomes

From Home Learning Analytics focuses on analyzing online learning data to improve educational experiences, while From Home Education Data Analyst involves broader data analysis tasks within educational settings. Both roles require similar skills and credentials but differ slightly in scope and application.

What are the most commonly searched types of Learning Analytics jobs in Texas?

The most popular types of Learning Analytics jobs in Texas are:

What cities in Texas are hiring for From Home Learning Analytics jobs?

Cities in Texas with the most From Home Learning Analytics job openings:

From Home Learning Analytics jobs near you

Data Scientist - INDIA

Prosper, TX • On-site

Vytwo
See more jobs at Vytwoexternal

Full-time

Re-posted 14 days ago

Job description

Role: Data Scientist - INDIA
Location: Hyderabad / Noida, INDIA
*Consultants local to INDIA are eligible.Category: Data Science – Structured Data / Text Data (NLP & GenAI)
About the Role

We are seeking a highly skilled Data Scientist (3–7 years of experience) to join our team and work across two major data science domains:
  1. Structured Data (80–90%) – Predictive analytics, forecasting, cost estimation, likelihood modeling, and batch‑oriented machine learning pipelines.
  2. Text / Unstructured Data (NLP & GenAI) – Building low‑latency real‑time systems using deep learning, LLMs, prompt engineering, and agentic AI frameworks.
This role requires strong expertise in Big Data processing, modern ML tools, and the ability to build scalable, production-ready data science solutions.
Key Responsibilities

Structured Data – Machine Learning & Analytics

  • Build, deploy, and optimize ML models for predictive analytics, forecasting, classification, and regression.
  • Perform large-scale feature engineering using PySpark and Big Data tools.
  • Work on batch pipelines, model versioning, and experiment tracking.
  • Develop cost estimation and risk/likelihood models using statistical and ML techniques.
Text Data / NLP / GenAI

  • Build NLP pipelines using deep learning frameworks such as PyTorch, TensorFlow, or similar.
  • Develop real‑time, low‑latency inference systems for text classification, embeddings, semantic search, summarization, and retrieval.
  • Create prompts, context graphs, and agentic workflows for LLM-based systems.
  • Apply knowledge of prompt engineering, context engineering, and autonomous agent frameworks to production systems.
Core Data Science Engineering & MLOps

  • Work in Databricks for ETL, feature engineering, ML training, and orchestration.
  • Use Azure services for model deployment, data pipelines, and infrastructure.
  • Collaborate using Git-based workflows; leverage tools like GitHub Copilot, Claude Code, etc.
  • Implement model monitoring, observability, drift detection, and performance tracking.
Required Skills & Experience

✅ Core Skills

  • Strong hands-on experience with Databricks (Delta Lake, MLflow, Job Orchestration).
  • Excellent PySpark skills for large-scale distributed data processing.
  • Proficiency in Azure cloud services (ADF, Azure ML, AKS, Databricks on Azure).
  • Strong understanding of ML algorithms, statistical methods, and data analysis.
  • Experience with deep learning frameworks:
    • PyTorch
    • TensorFlow
    • Transformers (HuggingFace)
  • Experience with model monitoring and ML observability.
  • Ability to write clean, optimized code and leverage AI code assistants.
✅ NLP / GenAI Specific Skills

  • Prompt engineering (task prompts, chain of thought, tool calling, retrieval prompts).
  • Context engineering (retrieval pipelines, RAG, memory management, context structuring).
  • Knowledge of LLM-based agentic frameworks (LangChain, Semantic Kernel, CrewAI, AutoGen, etc.).
  • Experience with vector databases and embedding models is a plus.
Good to Have Skills

  • Experience with containerization (Docker, Kubernetes, AKS).
  • Experience deploying models to production (REST APIs, real-time endpoints).
  • Knowledge of streaming technologies (Kafka, EventHub, Spark Streaming).
  • Understanding of CI/CD for ML (Azure DevOps / GitHub Actions).
Who You Are

  • A problem solver who is comfortable working with both structured and unstructured data.
  • Someone who enjoys using modern AI tools to accelerate development.
  • A data scientist who writes clean, production-grade code.
  • A collaborator who thrives in cross-functional teams and fast-paced environments.

Flexible work from home options available.