Data Science Engineer

Job Role: Data Science EngineerLocation: Los Angeles, CA (Hybrid Onsite) - Must live near Los Angeles and work on site in Century City 1 -2 times per weekPay Rate: $55-$60/hr. on W2Must have excellent communicationMode of Interview: Video + Must take a coder byte testWorkThe 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 SAPSummaryThe 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. ResponsibilitiesDevelopment of Data Science Solutions:Test and prototype innovative algorithms leveraging technologies such as Generative AI, NLP, and Machine Learning modelsPartner with engineering teams to develop technology infrastructureBuild and refine models to maintain optimal performance and relevanceWork closely with cross-functional team to align data science initiatives with business prioritiesPartner with leadership to identify and prioritize high-impact opportunities for data science applicationsPresent insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levelsIdentify data sources that can be useful to answer business questionsPerform experiments on ingested data to evaluate quality and integrityBuild data pipelines for ongoing data extractionUse advanced visualization techniques to present data insights in a compelling wayApply advanced analytics to create metrics and KPIs that summarize insights from dataApply advanced statistical methods for classification and prediction, including machine learning methodsDocument processes and analysis, using reproducible methods and scriptsProvide advice to the business on strengths and limitations of statistical results, to avoid misuse Required CapabilitiesMinimum 3 years working in a Data Science roleBachelor’s degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or BusinessMaster’s Degree in relevant discipline preferredHands-on experience with Generative AI models, including fine-tuning, deployment, and evaluationProficiency in using Python, R, or similar mathematical programming languages for advanced predictive modeling and visualization. Python expertise preferredProficiency in using SQL and modern Database managementExperience with Spark or similar distributed computing platformsExperience with Deep Learning methods and applications (Keras, Torch, TensorFlow) preferredExperience with Natural Language Processing methods and applications preferredExperience successfully implementing analytical solutions with real-world business impactExcellent analytical and problem-solving skillsDemonstrated initiative and ownership of tasks and projectsAbility to prioritize, coordinate, and complete tasks to meet deadlinesAbility to work effectively both independently and in team environmentsAbility to present complex problems in simple terms