Data Scientist (Contract)

Counterpart; Teletrabalho; BRL 382.000 - 438.000; Tempo integral

Resumo da oferta

A leading insurance technology platform seeks a Data Scientist to enhance risk prediction and underwriting processes through data science techniques. Ideal candidates possess significant experience in Python, machine learning, and model performance metrics. This role offers a fully distributed work environment and an estimated salary ranging from $70,000 to $80,000 annually. You'll collaborate with a diverse team to deliver insights and create innovative solutions.

Serviços

Work from Anywhere

Language Classes sponsorship up to $100

Reimbursement for Macbook Pro

Qualificações

• 3+ years of experience as a data scientist, data analyst or machine learning.
• Experience training machine learning models deployed for business decisions.
• Strong understanding of data science metrics for measuring model performance.

Responsabilidades

• Collaborate with team members to predict insurance claims using data science techniques.
• Support new data sources to minimize development cycles.
• Maintain production environment for data models.

Conhecimentos

Python

Machine Learning

Statistical Analysis

Data Science Metrics

Communication Skills

Formação académica

Bachelor / Master in a quantitative discipline

Ferramentas

pandas

scikit-learn

numpy

scipy

Jupyter

Descrição da oferta de emprego

Job Description

Counterpart is a modern management & professional liability insurance platform for the 21st century workplace.

We offer products and services to help companies align the risks and incentives of creating great organizations.

Our platform is designed to measure risk more efficiently using the most advanced rating system in the industry, while also proactively mitigating the risks of our insureds.

Ultimately, we provide businesses with the framework to be the best versions of themselves.

Location: Argentina, Brazil, Colombia, Chile, Mexico, Dominican Republic.

As a Data Scientist You Will:

• Collaborate with insurance domain experts and engineering team members to predict insurance claims based on hundreds of different variables using sophisticated data science techniques.
• Support the production of new data sources (e.g., web scraping, public/private APIs) in a manner that minimizes development cycles while maximizing potential business applications.
• Continuously challenge how we can improve our underwriting while reducing the number of questions that need to be answered in an application.
• Maintain a clean production environment such that the data models can be easily interpreted and built upon by other data science and engineering team members.
• Present your work, findings, and opinions to both technical and non‑technical stakeholders.
• Build and support a team of data scientists and analysts to accelerate our learnings and elevate our product offerings.

We Look for Teammates Who Have:

• Bachelor / Master in a quantitative discipline (computer science, mathematics, statistics, economics, physics, engineering or related field).
• 3+ years of experience as a data scientist, data analyst or machine learning.
• Experience training machine learning models that have been deployed to execute business decisions.
• 5+ years experience with Python, including the typical data science stack (pandas, scikit-learn, numpy, scipy, Jupyter, etc).
• Strong understanding of data science metrics and methodologies for measuring model performance.
• Experience tracking model performance in production.
• Comfortable building clean, repeatable experiments in a notebook environment.
• Communications skills for translating technical or statistical analysis results into business recommendations.
• Familiarity with the tradeoffs of scaling data infrastructure and database systems.
• Bias to practical action and creativity using data (we value past or present projects that support this).

Who You Will Work With:

Elizabeth Barsalou, Manager Data Scientist – full stack data scientist in small business lending for Kabbage and BHG.

Stanley Wang, Director, Pricing Analytics – actuary with USAA and leading data scientist at Digital Partners, a Munich Re company.

Newton Troung, Lead Data Engineer – almost a decade of experience in platform and data engineering, building data pipelines with Airflow and Spark.

Counterpart's Values

• Conjoin Expectations – it is the cornerstone of autonomy. Ensure you are aware of what is expected of you and clearly articulate what you expect of others.
• Speak Boldly & Honest – the only failure is not learning from mistakes.
• Don’t cheat yourself and your colleagues of the feedback needed when expectations aren’t being met.
• Be Entrepreneurial – control your own destiny.
• Embrace action over perfection while navigating any obstacles that stand in the way of your ultimate goal.
• Practice Omotenashi ("selfless hospitality") – trust will follow.
• Consider every interaction with internal and external partners an opportunity to develop trust by going above and beyond what is expected.
• Hold Nothing As Sacred – create routines but modify them routinely.
• Take the time to reflect on where the business is today, where it needs to go, and what you have to change in order to get there.
• Prioritize Wellness – some things should never be sacrificed.
• We create an environment that stretches everyone to grow.

We Offer

• Work from Anywhere – Counterpart is a fully distributed company, meaning there is no office.
• Language Classes – We sponsor up to $100 per calendar year to be used towards language classes to help support your English language skills.

Paid Vacation and Time Off

Parental Leave – Development Partners will be eligible for unpaid parental leave to bond with a newborn, newly‑adopted, or newly placed child.

Under this policy, development partners and independent contractors will be eligible for up to 8 weeks of unpaid parental leave.

Any time off will be subject to approval and must be requested at least 45 days in advance.

Computer

We reimburse you for your locally procured Macbook Pro.

If you are still with the company after one year, it is yours to keep!

Our estimated pay range for this role is USD $70,000 - $80,000 annually.

Contractor compensation is determined by a variety of factors, including but not limited to, market data, location, internal equity, and experience.

Equal Opportunity Employer

We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work—regardless of who you are or where you come from.

We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.

We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: Insurance