AI & Data Analytics

HP•Houston, TX

1d•Remote

About The Position

This role is responsible for designing and developing advanced AI/ML solutions to solve complex business problems. The role applies deep technical expertise to build scalable models, data pipelines, and intelligent systems, while ensuring consistency, quality, and alignment with enterprise standards. The role contributes to complex initiatives, collaborates across global teams, and mentors junior team members to drive adoption of data-driven solutions.

Requirements

Four-year or Graduate Degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or any related discipline; or equivalent work experience.
Typically has 5–10 years of experience in machine learning, data science, or software engineering roles, preferably in large-scale or enterprise environments.
Agile Methodology
Application Development
Machine Learning (Supervised & Unsupervised)
Feature Engineering & Model Optimization
Model Evaluation (Accuracy, Precision, Recall, F1 Score, ROC-AUC)
Python (Programming Language)
SQL (Programming Language)
Distributed Computing (e.g., PySpark or similar)
Data Engineering & ETL Pipelines
API Development & Integration
Automation
Business Process & Requirements Analysis
Debugging & Performance Optimization
Cloud Platforms (e.g., Azure, AWS, GCP)
Data Visualization (e.g., Power BI or similar tools)
Software Development Lifecycle (SDLC)
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity

Nice To Haves

Microsoft Azure AI Engineer Associate / Data Scientist Associate (preferred)
Databricks or equivalent platform certifications (good to have)

Responsibilities

Demonstrates proficiency in designing, developing, and deploying machine learning models (e.g., regression, classification, ensemble methods) to address complex analytical problems.
Represents the team in cross-functional engagements with business, engineering, and analytics stakeholders, providing technical leadership in AI solution design and implementation.
Applies extensive technical knowledge to develop and maintain scalable data pipelines and ML workflows across modern data platforms (e.g., cloud-based environments, distributed processing systems).
Applies organizational and third-party technologies to build complex AI-driven solutions, independently implementing end-to-end pipelines from data ingestion to deployment.
Integrates technical expertise with business understanding to deliver impactful insights, collaborating with stakeholders to translate model outputs into actionable outcomes.
Designs, develops, tests, and deploys data models, feature pipelines, and scoring systems ensuring performance, reliability, and scalability.
Develops standards, reusable templates, and best practices for model development, feature engineering, and evaluation to ensure consistency and governance.
Defines scope, plans, and deliverables for assigned components, ensuring alignment with project objectives and timelines.
Applies advanced subject matter knowledge, contributes to complex projects, and exercises independent judgment in resolving business issues and optimizing solutions.
Builds strong internal and external working relationships and provides mentoring and guidance to junior team members.

Benefits

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave