Data Analyst

2 weeks ago

Cramlington, Northumberland, United Kingdom Printed Full time
About the Role

We are seeking a highly skilled Data Scientist to join our team at Printed. As a Data Scientist, you will play a key role in driving business outcomes through the development and deployment of machine learning models.

Key Responsibilities
  • Model Development:
    • Design, develop, and optimize machine learning models to solve business challenges such as customer segmentation, predictive analytics, and recommendations.
    • Utilize Python and SQL for data preprocessing, feature engineering, model training, and validation.
    • Experiment with a variety of algorithms and techniques to enhance model accuracy and performance.
  • Data Analysis and Feature Engineering:
    • Conduct in-depth data analysis to extract insights and identify trends that inform model development.
    • Engineer and select features that improve model performance, ensuring relevance and robustness.
    • Collaborate with the data engineering team to guarantee that clean, well-structured data is available for model training and evaluation.
  • Model Deployment Collaboration:
    • Work in close collaboration with the Senior Data Engineer to prepare models for production, ensuring they meet all criteria for deployment within the data platform.
    • Engage in rigorous testing and validation processes to ensure models are ready for scaling and integration across various business applications.
  • Technical Focus and Development:
    • Maintain a strong focus on the technical aspects of model development, including code optimization, algorithm selection, and scalability.
    • Collaborate with the data engineering team to ensure that the necessary infrastructure and pipelines are in place to support machine learning initiatives.
    • Leverage the project management team to coordinate project requirements, timelines, and deliverables, allowing you to concentrate on technical excellence.
  • Evaluation and Monitoring:
    • Implement ongoing evaluation processes to monitor the performance of deployed models, ensuring they remain effective and relevant.
    • Make data-driven recommendations for model improvements and adapt to changes in data or business needs.
    • Develop and maintain documentation for model development, including methodologies, assumptions, and outcomes.
Requirements
  • Experience:
    • 3+ years of experience as a Data Scientist, with a proven ability to develop and deploy machine learning models in a production environment.
    • Expertise in Python (e.g., scikit-learn, TensorFlow, PyTorch) and SQL.
    • Familiarity with AWS cloud services, particularly those relevant to data science and machine learning.
    • Strong background in working with large datasets and applying advanced statistical methods.
  • Skills:
    • Deep understanding of machine learning algorithms, model evaluation techniques, and statistical analysis.
    • Proficiency in data wrangling, feature engineering, and developing scalable machine learning solutions.
    • Strong problem-solving skills with a focus on delivering practical, high-impact solutions.
    • Excellent communication skills for articulating complex technical concepts to team members.
    • Collaborative mindset with the ability to work effectively within a data-driven team environment.
  • Nice to Have:
    • Experience with AWS and Databricks.
    • Familiarity with big data tools like Apache Spark or Hadoop.
    • Knowledge of deep learning techniques and their application to real-world problems.
    • Experience with A/B testing and experimental design.
What We Offer
  • 22 days holiday Plus 8 days bank holidays
  • Staff discounts & Friends and Family discounts
  • Cycle to work scheme and Tech Scheme
  • Breakfast and drinks provided
  • Charity day per annum supported
  • Summer and Christmas Parties
  • Street food days
  • Perkbox membership
  • Enhanced Maternity & Paternity leave
  • Employee referral scheme

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