Data Scientist

Remote Full-time
At Akkodis, we use our insight, knowledge, and global resources to make exceptional connections every day. With 60 branch offices located strategically throughout North America, we are positioned perfectly to deliver the industry's top talent to each of our clients. Clients choose Akkodis as their workforce partner to solve staffing challenges that range from locating hard-to-find niche talent to completing quick-fill demands. Akkodis is seeking a Data Scientist – Model Development & Analytics for a contract role with a client located in Fountain Valley, CA Pay Rate: $45/hr.-$60/hr. Location: Fountain Valley, CA (Onsite) Contract Job Description: The role supports the Data Intelligence Group by developing, maintaining, and enhancing predictive models and analytics solutions that drive customer insights, subscription conversion, retention, and operational automation RESPONSIBILIES: Responsibilities include model development, scoring pipeline monitoring, troubleshooting batch processes, and improving existing analytical assets. Build, validate, and maintain machine learning models (classification, forecasting) across the full lifecycle: data prep, feature engineering, training, evaluation, and deployment. Operate and monitor automated scoring pipelines and data workflows; investigate alerts, troubleshoot failures, and restore service levels. Perform rootcause analysis on batch/stream jobs and implement preventive controls (data quality checks, retry logic, alerting, and runbooks). Create and maintain clear technical documentation (design notes, model cards, SOPs) to ensure continuity and knowledge transfer. Partner with data engineering, platform, and business stakeholders to gather requirements, align SLAs, and deliver production ready solutions. Support operational analytics and automation use cases, optimizing performance, cost, and reliability of existing processes. Conduct data validation and quality control across source, staging, and curated datasets; define acceptance criteria. REQUIRED SKILLS: Proficiency in Python (e.g., pandas, scikit learn) and SQL; experience with notebooks and Git. Hands-on experience with MLOps/orchestration (e.g., Airflow, Git, CI/CD, model registry) and production model deployment. Familiarity with big data / cloud data platforms (e.g., Spark/Databricks; Hive/Trino/Iceberg; cloud warehouses). Knowledge of ELT concepts, job monitoring, and log analysis. Ability to produce stakeholder ready insights using data visualization/BI tools. Analytical Skills Strong statistical and ML fundamentals; capable of evaluating model performance, diagnosing drift, and improving feature/data pipelines. Ability to translate business questions into analytical approaches with measurable outcomes; excellent documentation and communication. Experience Demonstrated success supporting production ML/analytics workloads in an enterprise environment. Proven cross functional collaboration with data engineering, platform/IT, and business partners. Soft Skills Proactive problem solver with a bias for action. Able to work independently and manage multiple priorities in a fast paced setting. High attention to data quality, reliability, and governance. If you are interested in this Data Scientist role- Fountain Valley, CA t hen please click APPLY NOW . For other opportunities available at Akkodis go to If you have questions about the position, please contact Priyanka Khurana at [email protected] Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, 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. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit 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
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