Data Scientist

Remote, US
Data & AI
Full-Time

Role introduction

As a Data Scientist you can expect to… 

  • Perform data discovery, profiling, cleaning, and exploratory analysis across structured and semi-structured enterprise datasets
  • Develop predictive and statistical models that support forecasting, classification, segmentation, anomaly detection, and optimization use cases
  • Build and evaluate machine learning pipelines using Python-based frameworks within Azure analytics environments
  • Prepare feature sets and training datasets aligned with business objectives and model performance requirements
  • Partner with Data Engineers and Integration Engineers to deploy models into production environments using Azure-based platforms
  • Support ingestion and preparation of data for analytics and intelligent applications across Microsoft Fabric, Synapse, and Azure Databricks
  • Contribute to solutions supporting Copilot, Azure OpenAI, semantic search, and retrieval-based intelligent application scenarios
  • Design and execute experiments to validate model performance and improve prediction accuracy
  • Translate analytical outputs into clear business insights and recommendations for technical and functional stakeholders
  • Document modeling assumptions, feature engineering approaches, evaluation results, and deployment workflows
  • Support model monitoring activities including drift detection, retraining strategies, and performance tracking
  • Ensure alignment with enterprise governance, data security, and responsible AI practices across engagements
  • Stay current with emerging machine learning, analytics, and generative AI technologies within the Microsoft ecosystem

 

You’re great at… 

  • Handling multiple projects/tasks simultaneously  in a team environment
  • Applying statistical analysis and machine learning techniques to solve business problems using real-world enterprise datasets
  • Building predictive models using methods such as regression, classification, clustering, and time-series forecasting
  • Preparing and transforming datasets for modeling through feature engineering and exploratory data analysis
  • Developing machine learning workflows using Python and common ML libraries such as scikit-learn, TensorFlow, or PyTorch
  • Supporting analytics environments such as Microsoft Fabric, Azure Databricks, Synapse, and Power BI data models
  • Collaborating with Data Engineers and Integration Engineers to operationalize models within production data platforms
  • Designing experiments to evaluate model effectiveness and improve prediction accuracy over time
  • Translating analytical findings into actionable insights for both technical and business stakeholders
  • Working with cloud-based analytics and machine learning services, particularly within Microsoft Azure environments
  • Documenting modeling logic, assumptions, and outputs to support maintainability and governance requirements
  • Supporting feature engineering and model deployment within production data platforms
  • Promoting the mission and Shared Values of our company  



Sound interesting? If so, you’ll have… 

  • Bachelor’s degree in Computer Science, Information Technology, Statistics, Mathematics, or a related field
  • Strong proficiency in Python and SQL for data preparation, modeling, and analysis workflows
  • Development of predictive models using techniques such as regression, classification, clustering, or forecasting
  • Familiarity with machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or similar frameworks
  • Support of analytics or modern data platforms such as Microsoft Fabric, Azure Databricks, Synapse, or Power BI
  • Work within cloud-based analytics or machine learning environments, preferably Microsoft Azure
  • Exposure to model deployment workflows and collaboration with engineering teams supporting production implementations
  • Clear communication of analytical insights to both technical and non-technical audiences
  • Ability to collaborate effectively across cross-functional delivery teams in consulting or enterprise solution environments
  • Microsoft Azure certifications related to data, analytics, or AI platforms preferred
  • Ability to work with clients and internal teams to deliver solutions

Apply now!

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LARGE ENOUGH TO SERVE, SMALL ENOUGH TO CARE

Why work at HSO?

At HSO we take pride in being large enough to serve, but small enough to care. We are uniquely positioned to empower you to transform your career without compromising your life and we take pride in investing as much in our people as we do in our clients.

  • 1

    Collaborative

    At HSO we enjoy a culture of collaboration and support and a collaborative hybrid working model where we team flexibly with purpose at the heart of our working arrangements. We use teamwork not just to meet challenges, but to also promote one another’s success.

  • 2

    Ever-Evolving

    We believe strongly in our values of always learning, always evolving and not standing still. HSO is dedicated to the ongoing professional development of people starting with the training and certification of our early career starters through to supporting senior experienced professionals.

  • 3

    Value Driven

    Our values and culture are attractive to people who want to work with value-driven teams around the world. Collaborating with colleagues and clients who are experts in their field provides an exceptional opportunity in your career to be continuously upskilling and expanding your knowledge and talent for accelerated learning and career progression.

  • 4

    Entrepreneurial

    At HSO we transform the way in which people work and how businesses operate to get results for our clients. This takes exceptional cutting-edge technology, knowledge, talent, determination and entrepreneurial spirit. Our culture and values support entrepreneurial mindsets and attitudes where your voice will always be heard.