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HBAI Data Scientist

10x problem solvers driven by efficiency and innovation

Specializing in transforming complex data challenges into scalable, automated solutions that deliver actionable insights.

Efficiency-Obsessed

Automates workflows for rapid, high-impact results

Data Expert

Masters advanced analytics, AI, and cutting-edge tools

Innovator

Builds explainable, production-ready AI models with precision and trust

Outcome-Focused

Delivers measurable results tailored to client needs

Junior Data Scientist

Entry Level (0-2 years)

Entry-level position working on diverse client projects. Analyze data, extract patterns, create visualizations, and develop ML models while learning from experienced team members.

Technical Requirements

  • Python (pandas, numpy, scikit-learn)
  • Data visualization (Matplotlib, Plotly)
  • Basic SQL knowledge
  • ML frameworks (scikit-learn, XGBoost)
  • Statistical foundation
  • Git version control

Core Responsibilities

  • Pattern recognition from datasets
  • Building and evaluating models
  • Documentation
  • Client collaboration

Benefits

  • Mentorship opportunities
  • Diverse project exposure
  • Professional development
  • Competitive salary

Mid-Level Data Scientist

Experienced (3+ years)

Work on cutting-edge projects analyzing human behavior and advancing AI systems. Apply advanced techniques to design and optimize ML solutions.

Technical Requirements

  • Production Python expertise
  • Deep Learning & Advanced ML
  • MLOps & CI/CD
  • Cloud platforms (AWS/Azure/GCP)
  • Advanced statistics
  • Data pipeline optimization

Core Responsibilities

  • Design ML solutions
  • Build scalable pipelines
  • Lead technical projects
  • Mentor junior members

Benefits

  • Competitive salary + bonuses
  • Flexible work arrangements
  • International projects
  • Advanced training

Senior Data Scientist

Leadership (5+ years)

Visionary problem solver and technical leader. Drive transformative AI solutions, mentor teams, and align initiatives with business goals.

Technical Requirements

  • Advanced AI/ML architecture
  • Production system design
  • Enterprise cloud solutions
  • Advanced analytics
  • Technical leadership
  • Strategic planning

Core Responsibilities

  • Lead AI initiatives
  • Architect solutions
  • Drive innovation
  • Strategic leadership

Benefits

  • Executive compensation
  • Leadership opportunities
  • Global project impact
  • Strategic influence