Senior Data Scientist, Transmission Risk Analytics (Hybrid)

SPECTRAFORCE; Dublin (CA); Hybrid; USD 220,416 - 227,304; Full time

Benefits offered by this job

Expense reimbursement for internet/phone

Client laptop provided

Personal protective equipment if needed

Job summary

SPECTRAFORCE is seeking a Data Scientist in Dublin to enhance their quantitative risk analysis and predictive analytics capability. The role supports the development of frameworks for transmission right of way risk reduction. Responsibilities include defining risk models, collaborating with teams, and implementing statistical techniques. The successful candidate should have at least 5 years of relevant experience and proficiency in Python, R, and SQL. This hybrid position offers $160-$165/hr with potential travel to various locations.

Qualifications

• 5+ years of experience in data science, predictive analytics, or statistical modeling.
• Ability to explain technical results to operational and executive audiences clearly.
• Required proficiency in programming with Python and R.

Responsibilities

• Develop quantitative risk frameworks for assessing encroachments.
• Create predictive models to foresee safety and reliability issues.
• Collaborate with cross-functional teams to translate data into actionable insights.

Skills

Statistical modeling

Machine learning

Predictive analytics

Data wrangling

Education

Bachelor’s degree in Data Science or related field

Tools

Python

R

SQL

Power BI

Tableau

ArcGIS

Job description

SPECTRAFORCE is seeking a Data Scientist in Dublin to enhance their quantitative risk analysis and predictive analytics capability. The role supports the development of frameworks for transmission right of way risk reduction. Responsibilities include defining risk models, collaborating with teams, and implementing statistical techniques. The successful candidate should have at least 5 years of relevant experience and proficiency in Python, R, and SQL. This hybrid position offers $160-$165/hr with potential travel to various locations.