Data Scientist

Akkodis is seeking a Data Scientist role is 6+ Months with a client located in Fountain Valley, CA. Pay Range: $40-$60/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. 1. Purpose The contractor supports the Data Intelligence Group (DIG) by developing, maintaining, and enhancing predictive models and analytics solutions that drive customer nsights, subscription conversion, retention, and operational automation. Responsibilities include model development, scoring pipeline monitoring, troubleshooting batch processes, and improving existing analytical assets across DIG. 1. Key Responsibilities Build, validate, and maintain machine learning models (classification and forecasting) across the full lifecycle, including data preparation, feature engineering, training, evaluation, and deployment. Operate and monitor automated scoring pipelines and data workflows. Investigate alerts, troubleshoot failures, and restore service levels. Perform root-cause analysis on batch and stream jobs and implement preventive controls such as data quality checks, retry logic, alerting, and runbooks. Create and maintain clear technical documentation, including design notes, model cards, and standard operating procedures, to ensure continuity and knowledge transfer. Partner with data engineering, platform, and business stakeholders to gather requirements, align service level agreements, and deliver production-ready solutions. Support operational analytics and automation use cases by optimizing the performance, cost, and reliability of existing processes. Conduct data validation and quality control across source, staging, and curated datasets, and define acceptance criteria. Leverage generative AI and AI-assisted coding tools to accelerate model development, automate documentation, and improve engineering productivity across analytics workflows. 1. Job Requirements Technical Skills Proficiency in Python (for example, pandas and scikit-learn) and SQL, with experience using notebooks and Git. Hands-on experience with MLOps and orchestration tools such as Airflow, Git, CI/CD, and model registries, as well as production model deployment. Familiarity with big data and cloud data platforms such as Spark, Databricks, Hive, Trino, Iceberg, and cloud data warehouses. Knowledge of ELT concepts, job monitoring, and log analysis. Ability to produce stakeholder-ready insights using data visualization and business intelligence tools. If you feel this is not something that you are currently interested in, but know of someone, that might be, please share the details with them or let me know their details so I can reach out to them! Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance