Data Scientist

Job Title :
Data Scientist

Duration : 6+ Months

Rate : $55/hr on Vendor W2

Location :
Hybrid – 2635

E. Millbrook Rd Raleigh NC 27604 – 4 days onsite / 1 day remote per week

Local candidates strongly preferred

• Required Skills:
  • Strong Python and PySpark experience
• Preferred Qualifications:
  • AWS, GCP, or other Machine Learning certifications
  • Experience with XGBoost, Time Series modeling, PyTorch, and/or Tensor Flow

We are seeking an experienced Data Scientist with strong expertise in data science and machine learning engineering, including hands‑on experience designing, deploying, and supporting production‑grade ML solutions. This role focuses on building scalable machine learning platforms, product ionising models, and enabling enterprise‑level ML deployments. This is a hybrid role based in Raleigh, North Carolina (North Hills), requiring 4 days onsite and 1 day remote each week.

• Design and implement predictive and prescriptive models for regression, classification, and optimisation problems
• Apply advanced ML techniques such as structural time series modelling and boosting algorithms (XGBoost, Light
  
  GBM)
• Develop and tune models using Python, PySpark, Tensor Flow, and Py Torch

• Build scalable, repeatable ML deployment workflows for batch, streaming, and low‑latency endpoints
• Develop and manage ML platform components including:
  • Model registry
  • Feature store
  • Experiment tracking
  • Artifact repositories
  • CI/CD pipelines for ML

• Build and maintain robust data and ML pipelines using tools such as:
  • Airflow
  • Step Functions
  • Argo
• Support event‑driven architectures using Event Bridge, SQS, and Kinesis

• Implement model monitoring, drift detection, alerting, and SLA/SLO tracking
• Create dashboards and visualisations using Databricks and Palantir
• Ensure reproducibility, auditability, version control, rollback planning, and compliance with enterprise governance standards

• Partner with cross‑functional stakeholders to translate business needs into ML solutions
• Collaborate with offshore and onsite teams
• Mentor data scientists and contribute to engineering standards, code reviews, and best practices
• Troubleshoot production issues across data, infrastructure, and model layers

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field

• 5+ years of experience with:
  • Python (Pandas, PySpark, scikit‑learn)
  • Docker and Bash scripting
  • Machine learning frameworks such as Tensor Flow and/or Py Torch
• Experience developing regression, classification, optimisation and time‑series models

• 5+ years working with Sage Maker or equivalent platforms such as:
  • Kubeflow
  • MLflow / Feast
  • Vertex AI
  • Databricks ML

• 5+ years of experience with:
  • Databricks DABS
  • Airflow
  • Step Functions
  • Event‑driven services such as Event Bridge, SQS, and Kinesis

• 3+ years of experience with AWS, Azure, or GCP services including:
  • ECR/ECS
  • Lambda
  • API Gateway
  • S3
  • Glue / Athena / EMR
  • RDS / Aurora
  • DynamoDB
  • Cloud Watch
  • IAM / VPC / WAF

• Experience with:
  • Warehouses, databases, schemas, and stages
  • Snowflake SQL
  • RBAC
  • UDFs
  • Snowpark

• 3+ years of hands‑on experience with:
  • Code Build / Code Pipeline
  • Git Hub Actions / Git Lab CI
• Experience with:
  • Blue/green deployments
  • Canary deployments
  • Shadow deployments

• Experience building batch and streaming pipelines
• Knowledge of schema management, partitioning, performance tuning, and parquet/iceberg best practices
• Strong experience with:
  • Unit and integration testing
  • Data validation
  • Drift monitoring
  • Reproducible model training

• Strong troubleshooting and operational support mindset
• Excellent communication and collaboration skills
• Passion for automation and documentation

• Retail and/or manufacturing industry experience preferred