Data Scientist Mid

Compunnel

$70K — $100K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years in statistical data science and feature engineering
  • 2+ years with SQL, PySpark, and Python
  • 2+ years in training and deploying machine learning models
  • Experience with cloud-based production (AWS or Azure)
  • Familiarity with Docker/Kubernetes for containerized deployments
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

Responsibilities

  • Research and develop personalized AI/ML solutions
  • Build and analyze AI models, validating performance through statistical experiments
  • Stay updated on emerging technologies and frameworks
  • Collaborate with data, product, and systems design teams
  • Deliver engineering solutions on time with high quality

Benefits

  • Opportunity to work in a cutting-edge AI Center of Excellence
  • Collaborative team environment fostering innovation
  • Access to emerging technologies and learning resources
  • Impactful role in enhancing customer experience and personalization
  • Engagement with cross-functional teams for diverse insights
Full Job Description
Job Summary:

We are seeking a Data Scientist to join the AI Center of Excellence team.

This role involves designing and deploying AI/ML solutions that enhance customer experience, drive personalization, and support strategic decision-making.

The ideal candidate will have experience in statistical analysis, machine learning, and cloud-based deployment, along with a collaborative mindset and a passion for innovation.

Key Responsibilities:
  • Research, prototype, and develop AI/ML solutions for personalized systems and user experiences.
  • Build, deploy, and analyze AI models and conduct statistical experiments to validate performance.
  • Stay current with emerging technologies, libraries, and frameworks.
  • Collaborate with cross-functional teams including data, product, and systems design.
  • Deliver high-quality research and engineering solutions on time.


Required Qualifications:
  • 2+ years of experience in statistical data science techniques, feature engineering, and customer segmentation.
  • 2+ years of experience with SQL, PySpark, and Python.
  • 2+ years of experience training, evaluating, and deploying machine learning models.
  • Experience productionizing ML workloads in cloud environments (AWS or Azure).
  • Familiarity with containerized application tooling and deployments (Docker/Kubernetes).
  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field.


Preferred Qualifications:
  • Experience with the Databricks platform.
  • Experience building ML models using large volumes of structured and unstructured data.


Education: Bachelors Degree

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