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MWDN

Data Scientist

Posted An Hour Ago
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Remote
Hiring Remotely in Moldova
Mid level
Remote
Hiring Remotely in Moldova
Mid level
Work on an InsurTech ML platform: design, train, deploy, evaluate, and monitor models (forecasting, churn, segmentation, classification, regression). Collaborate with product and customers, perform data exploration, analysis, visualization, and present insights in English.
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Description

MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We offer opportunities to work on international products in a stable and professional environment.

Why does MWDN rock?

Here’s what you can expect when you join MWDN:

  • Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments - no fraud or unpleasant surprises.
  • Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals.
  • Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.
  • Professional development: We offer English courses and professional growth opportunities, as well as team-building events.

Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU.

What is your new project?

Domain: InsurTech

Location: Israel, California

Company size: 11-50 employees

Founded in: 2016

What makes this project exciting?

Fast-growing InsurTech start-up building an innovative AI, Machine Learning platform aiming to change the life insurance industry. They are helping insurers to become data-driven and produce insights to inform decision-making and drive new business strategies at the corporate level.

They're growing and looking for a self-motivated individual with strong technical skills to work in a fast-paced environment on our Python Backend Development team. As part of this team, you’ll take an active role in developing AI-based data science platform and get a chance to work with cutting-edge technologies including. 

What makes you a great fit
  • +3 years professional experience in Machine Learning
  • BSc in Computer Science / Mathematics / Statistics / Physics or equivalent (MSc / PhD - advantage)
  • Proficiency in Python and SQL
  • Industry experience from inception to production of ML models (such as time series, clustering, regression and classification algorithms)
  • Experience in Insurance or Fintech
  • Strong skills in data exploration, analysis, and visualization
  • Team player, positive attitude, collaborative, good communication skills
  • Strong problem-solving skills, with experience breaking down a large problem into smaller, manageable components

It will also be great if you have:

  • Experience working with reporting tools such as PowerBi/Tableau
Your day-to-day in this position
  • End to end data science cycle: designing, training, implementing, evaluating and monitoring machine learning models
  • Customer Churn Model, Forecasting, Segmentation, Classification and Regression
  • Collaborate with product managers and customers to understand business needs and build solutions together
  • Effectively identify and apply analytics, causal inference, experimentation, and machine learning techniques for given business problems
  • Present your research and insights to all levels of the company (English is a must)
Why work with us?
  • People-first management with minimal bureaucracy
  • A friendly company culture, proven by employees who choose to return
  • Flexible working hours
  • 29 days of PTO (18 working days per year pluse all national holidays)
  • 10 paid recovery days
  • Full financial and legal support for independent contractors
  • Free English classes, with native speakers or Ukrainian teachers
  • Dedicated HR support
Our next steps

✅ Intro call with a Recruiter — ✅ Intro with the client — ✅ Tech interview — ✅ Final client interview— ✅ Offer

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