Data Scientist/Engineer

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Company: Compunnel Software Group

Location: Plano, TX 75025

Description:

Job Summary:

We are seeking a Data Scientist/Engineer to support machine learning model migration initiatives and deliver data-driven solutions using advanced analytics, artificial intelligence, and cloud-based technologies.

The ideal candidate will bring hands-on experience with ML Ops, model evaluation, and cloud tools, while also contributing to client-facing projects and innovative data strategies.

We would prefer senior candidates with 10-15 years of experience.

Key Responsibilities:
  • Support the ML model migration team in transitioning 80+ models to a new cloud environment.
  • Deploy, evaluate, and quality-test ML models; retrain and tune as needed.
  • Lead or assist with AI/ML-driven project delivery in a consulting setting.
  • Analyze complex business challenges and deliver tailored data solutions.
  • Conduct market research and communicate insights to clients and stakeholders.
  • Utilize innovative thinking and best practices to achieve impactful outcomes.
  • Build and maintain strong client relationships while understanding project challenges.
  • Work with structured and unstructured data of varying complexity.
  • Manage massive data streams in distributed computing environments.
  • Implement batch and real-time model scoring pipelines.
  • Assemble large, complex data sets to meet business requirements.
  • Apply business acumen to analyze data, generate insights, and solve issues.
  • Support issue resolution related to data flow and quality with stakeholders.


Required Qualifications:
  • 4+ years of experience in data science projects within a consulting or similar environment.
  • 4+ years of experience in areas such as Predictive Analytics, Statistics, AI/ML, or ML Ops.
  • 3+ years of hands-on experience using Python and/or R.
  • Proficiency in Databricks, PySpark, Azure Data Factory, GitHub, and Azure Data Lake Storage (ADLS).
  • Experience in testing and validating ML models.


Preferred Qualifications:
  • Strong analytical and judgment skills with minimal oversight.
  • Reliable team player with a strong work ethic and adaptable attitude.
  • Effective verbal and written communication skills.
  • Undergraduate or graduate degree preferred.


Education: Bachelors Degree

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