Senior Data Scientist: Predictive Analytics for Systems

Naval Nuclear Laboratory; Town of Niskayuna (NY); On-site; USD 106,000 - 166,000; Full time

Benefits offered by this job

Health, Dental, Vision & Voluntary

Disability, Life & Accident Insurance

401(k) Savings and CAP

Personal & Medical Time Off

Paid Parental Leave

Flexible Work Schedules

Tuition Assistance

Employee Assistance Program

Wellness Program

Visit us online to view all NNL benefit

Job summary

The Naval Nuclear Laboratory is seeking a Data Scientist to join a team dedicated to collecting and transforming data from the Naval Nuclear fleet for analytics across the Laboratory. The successful candidate will build predictive models to characterize various systems and present analyses with a data-driven approach to problem solving and decision making.

Collaboration and strong communication are essential as you lead improvement projects and provide regular updates to the organization.

Qualifications

• Bachelor's degree in related engineering or science field with a minimum of 6 years' experience; or Master's with 4+ years; or Doctorate with 1+ year.
• Proficient in Python scripting.
• Experience with data visualization tools such as Tableau.

Responsibilities

• Build predictive models to characterize systems.
• Present in-depth analyses with a data-driven approach to decision making.
• Lead improvement projects and provide regular updates to the organization.

Skills

Python

Tableau

ML concepts

RAG/embeddings

Education

Bachelor's degree in related field

Master's degree in related field

Doctorate in related field

Job description

The Naval Nuclear Laboratory is seeking a Data Scientist to join a team dedicated to collecting and transforming data from the Naval Nuclear fleet for analytics across the Laboratory. The successful candidate will build predictive models to characterize various systems and present analyses with a data-driven approach to problem solving and decision making.

Collaboration and strong communication are essential as you lead improvement projects and provide regular updates to the organization.