Data Scientist/Engineer - Compunnel : Job Details

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.

• 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.

• 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.