Senior Data Scientist | Carbyne
Description

Hi, we’re Carbyne. We’re on a mission to help emergency call centers save lives every day. As the leader in emergency collaboration technologies, we’re building a platform that brings game-changing capabilities to people in crisis, such as live video, instant chat, and location tracking. Our platform unifies the flow of life-saving information to emergency call centers, so they can handle emergencies faster than ever, and get to the right people, in the right place, at the right time. We currently provide services to over 400 million people in over eight countries around the world, and partner with Google, Cisco, Amazon, and Microsoft to deliver life-saving technologies. Want to join our mission-driven team? Read on.

About the role

We’re seeking a Senior Data Scientist to join our team. Your role will be to analyze data, interpret results, training models, and expand Carbyne’s algorithmic product features using the latest in computing and machine learning technologies. You will join our CTO’s team to lead Carbyne's R&D mission to design, develop, and maintain our world-class emergency collaboration platform.

Our dream candidate has a background in data and business analysis, is analytical, and is an excellent communicator. If you also have business acumen and problem-solving aptitude, this one’s for you!

Here’s what you’ll be working on:

  • Applying machine learning algorithms to optimize 911 workflows, predict emergency events and improve emergency response
  • Building NLP Models for emergency services and working on 911 data.
  • Building, validating, testing and deploying predictive models using machine learning techniques to explain or predict behavior and solve a variety of real world public safety problems
  • Design and build data and ML pipelines, data visualizations/dashboards, and prepare data for ML
  • Bring a project from requirements gathering through to delivery of the technical solutions based on business requirements while meeting quality, security, and accuracy
  • Evaluate and learn about new cloud technologies to provide a competitive market perspective
  • Verify functionality and quality of projects before release to ensure acceptance criteria are met
  • Identifying, collecting, and exploring the right data used for predictive modeling and algorithm development.
  • Performing and leading developments using machine learning techniques in one or more of the key areas like natural language processing, computer vision, information retrieval, entity recognition, product classification, and recommender system.


Requirements


  • You have 5 + years of work and research experience in the machine learning field with a deep understanding of machine learning and interest in applying it at scale.
  • You have proven experience with building and customizing NLP Models for production workloads
  • You have experience with data cleaning, preparation, and featurization and selection techniques.
  • You have experience working with large data sets to solve problems.
  • You have experience with deep learning libraries like TensorFlow and/or PyTorch is highly desirable as well as experience with AWS.
  • You have/had hands-on experience with SQL, Python, Java or Scala and the ability to write reusable and efficient code to automate machine learning pipeline and data processes.
  • You have effective communication, interpersonal, and teamwork skills.
  • You have the ability to handle multiple concurrent projects while working independently and in teams.
  • Basic understanding of experimental design (such as A/B experiments) and statistical methods
  • Ability and experience in extracting insights from data, and summarizing learnings/takeaways
  • Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)
  • BSc in Computer Science, Data Science, Electrical Engineering, or relevant fields.

 

Bonus points for:

  • Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative fields
  • Advanced experience with experimental design and statistical methods such as causal Inference.
  • Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds
  • Experience giving data presentations with graphical or data visualization tools Preferred qualifications Comfortable in a Linux environment Experience with Amazon Web Services (AWS), e.g. Redshift

 

What else we’re looking for:

We’re a mission-driven team with a strong set of values. We take them pretty seriously here at Carbyne, and want to make sure that anyone who joins our team takes them seriously, too. If you grabbed coffee with any of our team members, you would see that we:

  • Innovate. We think differently, and don’t lean on standard conventions.
  • Strive to be better. We’re always looking to improve. We define goals and measure ourselves against them regularly. 
  • Take ownership. We own our actions, complete our missions, and hold ourselves accountable for both. We care deeply about the success of Carbyne, our customers, our partners, and each other.
  • Are customer-first. We focus on making sure our customers are successful, and we build trust and practice full transparency at all times.

Benefits and perks - because you matter:

  • Comprehensive health insurance
  • 401k, matching up to 4% of your salary
  • 12 weeks of full payment for maternity leave
  • Unlimited vacation days
  • Competitive options plan
  • Reimbursement for internet and phone expenses
  • One-time budget for purchasing home office settings
  • Reimbursement for commuter expenses (if you work in the office)
  • Unlimited Udemy courses
  • Meal plan ($13/day)

Carbyne believes that every person has a right to equal employment opportunities without discrimination due to race, ancestry, place of origin, color, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law. We also strive for a healthy and safe workplace and strictly prohibit harassment of any kind.

 

Note: We’re unable to sponsor employment visas at this time.

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