Data Science Engineer

Job Role: Data Science Engineer Location: Los Angeles, CA (Hybrid Onsite) - Must live near Los Angeles and work on site in Century City 1 -2 times per week Pay Rate: $55-$60/hr. on W2 Must have excellent communication Mode of Interview: Video + Must take a coder byte test Work The client is doing a data conversion project where one team is building a new financial application and needs to migrate financial data from multiple legacy source systems into the new platform. The work is developing Python scripts for data extraction, transformation, and validation, performing end-to-end testing, reconciling data accuracy, and managing the cutover process to ensure a smooth transition to the new system. The conversion is from Dynamics AX to SAP Summary The Data Scientist is a member of a highly motivated client's Tech team responsible for accelerating the creation of opportunity through the strategic use of data. Incorporating the latest developments in Data Science (Generative, statistical modeling, machine learning, and advanced visualization) to solve complex business problems, they collaborate within a forward-thinking team to drive operational efficiency and shape innovative solutions for critical use cases. Responsibilities Development of Data Science Solutions: • Test and prototype innovative algorithms leveraging technologies such as Generative AI, NLP, and Machine Learning models • Partner with engineering teams to develop technology infrastructure • Build and refine models to maintain optimal performance and relevance • Work closely with cross-functional team to align data science initiatives with business priorities • Partner with leadership to identify and prioritize high-impact opportunities for data science applications • Present insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levels • Identify data sources that can be useful to answer business questions • Perform experiments on ingested data to evaluate quality and integrity • Build data pipelines for ongoing data extraction • Use advanced visualization techniques to present data insights in a compelling way • Apply advanced analytics to create metrics and KPIs that summarize insights from data • Apply advanced statistical methods for classification and prediction, including machine learning methods • Document processes and analysis, using reproducible methods and scripts • Provide advice to the business on strengths and limitations of statistical results, to avoid misuse Required Capabilities 1. Minimum 3 years working in a Data Science role 1. Bachelor’s degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business 1. Master’s Degree in relevant discipline preferred 1. Hands-on experience with Generative AI models, including fine-tuning, deployment, and evaluation 1. Proficiency in using Python, R, or similar mathematical programming languages for advanced predictive modeling and visualization. Python expertise preferred 1. Proficiency in using SQL and modern Database management 1. Experience with Spark or similar distributed computing platforms 1. Experience with Deep Learning methods and applications (Keras, Torch, TensorFlow) preferred 1. Experience with Natural Language Processing methods and applications preferred 1. Experience successfully implementing analytical solutions with real-world business impact 1. Excellent analytical and problem-solving skills 1. Demonstrated initiative and ownership of tasks and projects 1. Ability to prioritize, coordinate, and complete tasks to meet deadlines 1. Ability to work effectively both independently and in team environments 1. Ability to present complex problems in simple terms