AI SCORE 8.5

Lead Data Scientist - Remote Position in Geo-Analytics

$119K–$231K/year

About the Role

We're hiring a Lead Data Scientist to join our team remotely, focusing on Property Catastrophe Modeling & Geo-Analytics. In this role, you will lead a team dedicated to leveraging data and statistical models to drive business solutions and identify opportunities. Your expertise in data science will be crucial in shaping our analytical initiatives.

What You'll Do

  • Direct analytical initiatives, leveraging data, statistical modeling, and machine learning to drive process improvements and decision-making.
  • Collaborate with cross-functional teams, including software engineers and product leaders, to implement effective business solutions.
  • Lead discussions, present findings, and make recommendations to colleagues and management.
  • Establish and oversee monitoring procedures, review results, and identify further optimization opportunities.
  • Provide analytical support and facilitate solution implementation through business or IT processes.
  • Create and optimize data repositories, reports, dashboards, and automated procedures to enhance efficiency and reduce costs.
  • Mentor a small team of data scientists, providing technical expertise and guidance.
  • Run day-to-day execution, code/design reviews, and onboarding for new team members.

Requirements

  • Bachelor's degree in math, statistics, computer science, or related areas; Master's degree preferred.
  • At least 5 years of experience in data mining and data/statistical analysis.
  • Proficient in SQL and statistical software packages (Python, R, SAS).
  • Experience in P&C insurance is a plus.
  • Strong problem-solving skills and ability to work with large structured and unstructured data sources.
  • Excellent written and verbal communication skills.
  • Demonstrated ability to think conceptually, analytically, and creatively.
  • Knowledge of cloud-based data environments, particularly AWS.

Nice to Have

  • Experience with text mining or other text analytics techniques.
  • Familiarity with GitHub or other cloud-based infrastructure.
  • Experience leading projects in group settings and mentoring peers/interns.

What We Offer

  • Competitive compensation and flexibility to work from anywhere in the United States.
  • Paid time off, including vacation, sick time, and 9 paid Company holidays.
  • Incentive bonus programs and a 401(k) retirement savings plan with company match.
  • Engaging work environment with promotional opportunities and education assistance.
  • Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Lead Data Scientist role offers the opportunity to work remotely while leading a talented team in the insurance sector. Enjoy competitive compensation and a supportive work environment.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Deep expertise in Python and R for developing advanced predictive models, with experience in libraries such as scikit-learn and TensorFlow to implement machine learning algorithms tailored for geo-analytics.

Strong familiarity with AWS cloud services, particularly in deploying machine learning models and using services like S3 and SageMaker for data storage and processing in a remote work environment.

Proven track record in leading cross-functional teams through complex data mining projects, demonstrating a results-oriented mindset with a focus on delivering actionable insights and business solutions.

Learning Resources

Data Mining: Concepts and Techniquesbook

Career Path

Lead Data Scientist - Remote Position in Geo-Analytics(Now)Data Science Manager(1-2 years)Director of Data Science(3-5 years)

Market Overview

Market Size 2024
$11.5B
Annual Growth
17.8%
AI Adoption
67%
Investment
+45%
Labour Demand
+30%
Avg Salary
$135K

Skills & Requirements

Required
Data MiningMachine LearningPython
Growing in Demand
Deep LearningBig Data TechnologiesNatural Language Processing
Declining
SAS Enterprise MinerSPSS

Domain Trends

Increased Integration of AI in Data Mining
AI technologies are being increasingly integrated into data mining processes, with 70% of companies reporting enhanced efficiency in data analysis.
Shift Towards Cloud-based Data Solutions
By 2025, over 80% of data mining operations are expected to migrate to cloud platforms, driven by cost efficiency and scalability.
Growing Importance of Data Privacy Regulations
With 60% of organizations prioritizing compliance, data scientists are increasingly required to incorporate privacy measures in their mining processes.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.