Data Scientist

Akkodis is seeking a Data Scientist for a Contract-to-hire with a client located in Raleigh, NC- 4 days in office, 1 day remote per week and ideally strong hands-onML- SageMaker; Kubeflow, MLflow/Feast, Vertex, Databricks ML, MLOPS, structural time series modeling; boosting algorithms (e.g., XGBoost, LightGBM) and Snowflake Foundations. Rate Range: $68-$70/hr (The rate may be negotiable based on experience, education, geographic location, and other factors) Required Qualifications: Education: Bachelor’s degree in Computer Science, Information Technology, Data Science, or related field. Programming: 5+ years’ experience with Python (pandas, PySpark, Scikit-learn; familiarity with PyTorch/TensorFlow helpful), bash, experience with Docker. ML Experimentation: Design and implement predictive and prescriptive models for regression, classification, and optimization problems. Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM). ML Tooling: 5+ years’ experience with SageMaker (training, processing, pipelines, model registry, endpoints) or equivalents (Kubeflow, MLflow/Feast, Vertex, Databricks ML). Pipelines & Orchestration: 5+ years’ experience with Databricks DABS or Airflow or Step Functions, e-driven designs with EventBridge/SQS/Kinesis. Cloud Foundations: 3+ years’ experience with AWS/Azure/GCP on various services like ECR/ECS, Lambda, API Gateway, S3, Glue/Athena/EMR, RDS/Aurora (PostgreSQL/MySQL), DynamoDB, CloudWatch, IAM, VPC, WAF. Snowflake Foundations: Warehouses, databases, schemas, stages, Snowflake SQL, RBAC, UDF, Snowpark. CI/CD: 3+ years hands-on experience with CodeBuild/Code Pipeline or GitHub Actions/GitLab; blue/green, canary, and shadow deployments for models and services. Feature Pipelines: Proven experience with batch/stream pipelines, schema management, partitioning, performance tuning; parquet/iceberg best practices. Testing & Monitoring: Unit/integration tests for data and models, contract tests for features, reproducible training; data drift/performance monitoring. Operational Mindset: Incident response for model services, SLOs, dashboards, runbooks; strong debugging across data, model, and infra layers. Soft Skills: Clear communication, collaborative mindset, and a bias to automate & document. If you are interested in this job, you can click APPLY NOW For other opportunities available at Akkodis go to www.akkodis.com. If you have questions about the position, please contact Nitish Kumar at Nitish.Kumar2@akkodisgroup.com 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