Data Scientist

Job Overview

Akkodis is seeking a Data Scientist for a Contract position with a client in Basking Ridge, NJ. You will be responsible for analyzing large-scale wireless and IEN alarm data to detect patterns, reduce noise, and improve network reliability through KPIs, dashboards, and ML-driven insights.

$50/hour to $53/hour; the rate may be negotiable based on experience, education, geographic location, and other factors.

• Analyze large-scale alarm and time‑series data from OSS/NMS/EMS systems to identify patterns, recurring fault signatures, and cross-domain trends (RAN, Core, IEN).
• Build and deploy ML models for alarm correlation, noise reduction, anomaly detection, root cause analysis, and predictive fault forecasting using Python/R (Pandas, Num Py, Scikit‑learn, PySpark).
• Design KPIs, dashboards, and real‑time monitoring in tools like Tableau/Power BI/Grafana to track network health, MTTR/SLA, and reliability metrics for NOC and engineering teams.
• Clean, normalize, and enrich multi-source data (OSS, EMS, NMS, CMDB, performance systems); integrate pipelines on big data platforms (Spark/Hadoop) and streaming tools (Kafka/Flink).
• Automate fault insight pipelines and model operations, including versioning, performance tracking, and documentation; collaborate with NOC, Network Engineering, and Reliability teams to operationalize insights.
• Communicate findings to technical and non‑technical stakeholders, driving proactive maintenance, incident prevention initiatives, and continuous improvement of AIOps/network intelligence capabilities.

• Bachelor’s or master’s degree in computer science, data science, telecommunications, or a related field.
• 3–5 years of experience in data analytics, machine learning, or network fault management.
• Strong proficiency in Python or R with experience in libraries such as Pandas, Num Py, Scikit‑learn, and PySpark.
• Hands‑on experience with wireless networks (2G/3G/4G/5G), OSS/NMS systems, and big data platforms like Spark or Hadoop.

$50.00 to $53.00 per hour.

Medical, dental, vision, life insurance, short‑term disability, additional voluntary benefits, EAP program, commuter benefits, and a 401(k) plan. Eligible for paid leave including Paid Sick Leave and holiday pay where applicable.

We are an equal opportunity employer. Military‑connected talent is encouraged to apply. Apply for Massachusetts candidates only if you meet the statutory requirements.

• 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:
  • 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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