Description

Job Title: Data Science Engineer
Location: Century City, CA (Hybrid – 2 days onsite/week; candidates must be near Los Angeles)
Duration: 6+ Months Contract
Interview Process: Phone/Video (MS Teams)
Assessment: Coderbyte test required

Job Summary

We are seeking a Data Science Engineer to support a large-scale data migration and transformation initiative. The role involves developing data-driven solutions and working on financial data conversion from legacy systems to a modern platform. The position focuses on building Python-based data pipelines, validating and reconciling data, and ensuring a smooth system transition.

Key Responsibilities

• Develop and prototype data science solutions using Machine Learning, Generative AI, and NLP techniques 
• Build and maintain scalable data pipelines for data extraction, transformation, and validation 
• Develop Python scripts for data migration and ensure data accuracy through reconciliation and testing 
• Perform end-to-end testing and support system cutover activities 
• Apply statistical and machine learning methods for data analysis, classification, and prediction 
• Create visualizations and dashboards to communicate insights effectively 
• Collaborate with cross-functional teams to align data initiatives with business goals 
• Document processes, methodologies, and analytical results 

Required Skills & Qualifications

• Minimum 3+ years of experience in a Data Science role 
• Bachelor’s degree in mathematics, Computer Science, Engineering, or related field (master’s preferred) 
• Strong hands-on experience with Python for data processing, modeling, and scripting 
• Experience with Generative AI, including model fine-tuning, deployment, and evaluation 
• Proficiency in SQL and database management 
• Experience with Spark or distributed computing platforms 
• Knowledge of Machine Learning, Statistical Modeling, and Data Visualization
• Experience with data migration, ETL processes, and data validation/reconciliation
• Familiarity with Deep Learning frameworks (TensorFlow, Keras, PyTorch) – preferred
• Experience with Natural Language Processing (NLP) – preferred 

Core Competencies

• Strong analytical and problem-solving skills 
• Ability to manage multiple tasks and meet deadlines 
• Strong communication skills with the ability to present complex insights clearly 
• Ability to work independently and collaboratively

Key Skills

Education

Not specified