Data Scientists, Data Engineers & Data Analysts

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Turn Raw Data Into $10M+ Revenue Opportunities With Senior Data Scientists, Data Engineers & Data Analysts

Drowning in data but starving for insights? We match you with data scientists who’ve already built the ML models, pipelines, and analytics that drove 8-figure business outcomes.

“The Hyperion360 data team helped us identify $12M in cost savings through predictive maintenance models that we never would have discovered internally.” - Fortune 500 Manufacturing VP

The data scientists and engineers we staff have contributed to breakthrough analytics at companies like Netflix, Uber, Airbnb, Tesla, Goldman Sachs, JPMorgan Chase, and Microsoft, along with unicorn startups that have leveraged data science to achieve billion-dollar valuations.

Data Science & Engineering Expertise

We staff data professionals who deliver results across the full data lifecycle:

Core Data Roles

Data Scientists & ML Engineers

  • Machine Learning, Deep Learning, Statistical Modeling
  • Popular engagements: Predictive analytics, recommendation engines, fraud detection

Data Engineers & Pipeline Architects

  • ETL/ELT, Data Warehousing, Real-time Processing
  • Popular engagements: Data lake architecture, streaming analytics, data governance

Analytics Engineers & BI Developers

  • Business Intelligence, Data Visualization, Self-service Analytics
  • Popular engagements: Executive dashboards, automated reporting, KPI tracking

MLOps Engineers & Platform Specialists

  • Model Deployment, Monitoring, Infrastructure
  • Popular engagements: ML platform development, model lifecycle management

Technology Stack Expertise

Programming & Analysis

  • Python (Pandas, NumPy, Scikit-learn)
  • R (tidyverse, Shiny, caret)
  • SQL (PostgreSQL, MySQL, BigQuery)
  • Scala, Java for Big Data

Machine Learning & AI

  • TensorFlow, PyTorch, Keras
  • XGBoost, LightGBM, CatBoost
  • Hugging Face Transformers
  • OpenAI GPT, LangChain

Big Data & Cloud Platforms

  • Apache Spark, Hadoop, Kafka
  • AWS (SageMaker, Redshift, EMR)
  • Google Cloud (BigQuery, Vertex AI)
  • Azure (Synapse, ML Studio)

Data Science Success Stories

Case Study: E-commerce Revenue Optimization

Our data scientists partnered with a major e-commerce platform to build personalization engines that increased conversion rates by 35% and average order value by 28%, resulting in $50M additional annual revenue. The ML models processed 100M+ daily events to deliver real-time product recommendations.

Case Study: Financial Risk Modeling

We staffed a team of quantitative analysts and ML engineers for a fintech startup who developed credit scoring models that reduced default rates by 40% while increasing loan approvals by 25%, enabling the company to scale from $10M to $100M in loan originations.

Case Study: Supply Chain Optimization

Our data engineers built predictive maintenance systems for a Fortune 500 manufacturer that reduced equipment downtime by 60% and maintenance costs by $15M annually through IoT sensor data analysis and machine learning forecasting.

Why Companies Choose Our Data Professionals

🎯 Proven ROI Track Record

$500M+ Value Created
Across client engagements
Average 300% ROI
Within first 12 months
95% Model Accuracy
Production deployment rate

Data Science Specializations

  • Predictive Analytics - Forecasting, demand planning, churn prediction
  • Computer Vision - Image recognition, object detection, medical imaging
  • Natural Language Processing - Sentiment analysis, document processing, chatbots
  • Recommendation Systems - Collaborative filtering, content-based recommendations
  • Time Series Analysis - Financial modeling, IoT analytics, operational forecasting
  • A/B Testing & Experimentation - Statistical testing, causal inference, optimization

Pricing & Engagement Models

Fully-Burdened Data Science Staffing Costs

  • Data Scientist: $3,500-9,000/month
  • Data Engineer: $3,500-9,000/month
  • ML Engineer: $4,500-12,000/month
  • Data Analyst: $3,000-6,500/month

All-inclusive pricing covers base salary, benefits, payroll, taxes, legal, HR, insurance, recruiting, and other overhead. May be more expensive depending on location and skill level.

Flexible Engagement Options

  • Individual Contributors - Single data scientist or engineer
  • Data Science Pods - 2-4 person cross-functional teams
  • Full Data Teams - Complete analytics organizations (5-15 people)
  • Project-Based - Specific deliverables with defined timelines
Build Your Data Team

Frequently Asked Questions

Data Science Staffing FAQs

How quickly can you staff data scientists?
We can typically match you with qualified data scientists within 1-2 weeks. For specialized roles (like computer vision or NLP experts), it may take 2-3 weeks to find the perfect fit.
Do your data scientists have domain expertise?
Yes, we staff data professionals with deep domain knowledge in finance, healthcare, e-commerce, manufacturing, and other industries. We match based on both technical skills and relevant business experience.
Can you help with data infrastructure and MLOps?
Absolutely. Our data engineers and MLOps specialists can build scalable data pipelines, implement model deployment systems, and establish data governance frameworks.
What's your approach to data security and compliance?
All our data professionals are trained in data privacy regulations (GDPR, CCPA, HIPAA) and follow strict security protocols. We can provide additional compliance certifications as needed.
Do you offer both short-term and long-term engagements?
Yes, we support everything from 3-month proof-of-concept projects to multi-year strategic data initiatives. Most successful data science projects require 6-12 months minimum to show meaningful ROI.

Ready to unlock the value in your data? Our data scientists and engineers have the expertise to turn your data challenges into competitive advantages.

Start Your Data Science Project

We match great companies with great data talent. Our global team of data professionals work in your time zone, communicate in English, and cost up to 60% less than US-based data scientists.

Ready to Get Started?

Let's discuss how Hyperion360 can help scale your business with expert technical talent.

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