Empleos de machine learning engineer en Remote
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- 3+ years of experience as a data scientist, data analyst or…
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- Growth Acceleration PartnersRemote·
- We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers.
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- Growth Acceleration PartnersRemote·
- We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers.
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About Us:
Tech9 is shaking up a 20-year-old industry, and we're not slowing down. Recognized by Inc. 5000 as one of the nation's fastest-growing companies, we are dedicated to building innovative, highly complex web applications. Our team is passionate about delivering quality software that meets the highest standards. We offer a 100% remote working environment with a collaborative and supportive team, allowing you to focus on what you do best. Our current need is for a Data Scientist to join our LATAM team. This role will allow you to work directly with our client, where you will get hands-on experience working with new projects and teams.
Why Join Us?:
- Challenging Problems: You will tackle complex and exciting challenges.
- Flexibility: We offer a flexible and autonomous working environment.
- Collaboration: Work with skilled and friendly teammates who are committed to quality.
- Support: We fully support your efforts to test software the right way.
- Tools: We provide the necessary tools for you to excel at your job.
- Remote Work: Enjoy the benefits of a 100% remote work environment.
Main Responsibilities:
- 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.
Minimum Qualifications:
- Bachelor/Master in 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.
Additional Information:
Interview Process Overview
Tech9 believes in a fair and equitable interview process. Below you'll find an outline of the interview plan for our Data Scientist position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.
- 30-minute screening with a member of our Recruitment team
- 1-hour google meet/Zoom technical interview with one of our engineers.
- 1-hour Case Study Preparation
- 45-min Presentation of Code with Client Hiring Manager
- 2- 30-min Team Member Interview
- 30-min Interview with Project Manager
Tech9 Values:
Our success is not just a product of what we do, but how we do it. Our culture is defined by values that are vital to our collective and individual achievements. We believe in 'Quality by Choice,' 'Win Win is the Only Win,' 'Continuous Improvement,' 'Integrity and Transparency,' and 'Extreme Ownership,'. These core values guide the actions and decisions we make every day. They are not just words; they are the compass that guide our actions and define our commitment to one another and our customers.
- Quality by Choice: We choose quality in everything we do, owning our impact, exceeding expectations, and earning trust
- Win-Win is the Only Win: Every win is shared, built on collaboration, respect, and a belief that success thrives together.
- Continuous Improvement: We never stop growing, embracing feedback, learning from mistakes, and continuously crafting better together.
- Integrity and Transparency: We act with unwavering integrity, building trust through transparency, honesty, and open communication.
- Extreme Ownership: We own it all, taking extreme control, driving results, facing every challenge head-on, and innovating like entrepreneurs, because our actions ripple outward, building trust and collective success.
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