Senior Data Scientist

Posted 6 Hours Ago
Be an Early Applicant
7 Locations
Remote or Hybrid
Senior level
Other
The Role
Lead design, development, and production deployment of custom ML models (supervised, unsupervised, generative) for fraud detection, customer engagement, anomaly detection, and business experiments. Collaborate with MLOps, run A/B tests, and optimize model performance in real-time environments.
Summary Generated by Built In
We are looking for a Senior highly technical Data Scientist to join our established Analytics department. This is a modeling-heavy role focused on building high-performance, reproducible machine learning systems that drive core business decisions. You will join the newly formed AI Lab which is entrusted with growing our AI/ML capabilities at IDT.
We are looking for a veteran modeling expert who thrives on building novel ML architectures from the ground up for business functions like fraud detection, customer engagement, process performance and finance.

Responsibilities:

    Advanced ML R&D: Design, develop, and maintain cutting-edge, custom machine learning models for production environments.
    Behavioral Forecasting: Build advanced models to predict bad actors in our transaction flow.
    End-to-End Modeling: Develop and implement both supervised and unsupervised models from scratch to find anomalies and next likely outcome.
    Content Generation: Design generative models based on profile and transaction data.
    Production Deployment: Deploy models into product in a real-time environment.
    Interact with MLOps functions to maintain models and increase accuracy, recall and precision.
    Experimental Design: Lead the statistical design and analysis of A/B testing to validate model performance and business hypotheses.

Requirements:

    Experience: 5+ years of professional experience in Data Science, with a strong portfolio of building and shipping original ML models.
    Deep theoretical and practical understanding of supervised/unsupervised learning, including Boosting, NN, Bayesian, Clustering, and related frameworks.
    Core Stack:
    Python: Advanced use of Pandas, Numpy, PyTorch/TensorFlow, and Scikit-learn for complex feature engineering, custom model design, and pipeline optimization.
    SQL: Proficiency in querying and structuring data from large-scale databases.
    MLOps: Experience using MLOps tools like MLflow or ClearML in model development and inference.
    Education: Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or related).

We offer you:

  • Remote b2b or hybrid (Belarus-Moldova) work opportunity!
  • Stable job with long-term growth perspective.
  • Competitive salary with annual performance review.
  • Really good hardware.
  • An exciting and challenging job with talented people around.
  • Continuous learning and career growth opportunities.
  • Compensation for professional training, seminars, and conferences.
  • Referral program – get rewarded for helping us grow the team with talented people.
  • Company-supported English classes to enhance your professional growth.
  • More perks for the Minsk and Chisinau office employees.

A few words about us:
 
IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues. 
 
IDT is not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.
 
Our flagship brand, BOSS Revolution, offers Money Transfer, International Calling, and Mobile Top-Up services and supports IDT’s mission of enabling people to keep in touch and share resources with family and friends worldwide.
If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you! 

Skills Required

  • 5+ years professional experience in Data Science with portfolio of shipped ML models
  • Deep theoretical and practical knowledge of supervised and unsupervised learning (Boosting, Neural Networks, Bayesian methods, Clustering)
  • Advanced Python with Pandas and Numpy for feature engineering and pipeline work
  • Experience with PyTorch or TensorFlow for custom model development
  • Experience with Scikit-learn for modeling and pipeline components
  • Proficiency in SQL for querying and structuring large-scale data
  • Experience using MLOps tools such as MLflow or ClearML
  • Experience deploying models to real-time production environments
  • Experience designing and analyzing A/B tests and experimental design
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field
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The Company
HQ: Newark, NJ
1,151 Employees
Year Founded: 1990

What We Do

We know that you’ll have looked at quite a few company pages but IDT is different. We want people who want to make a big difference to our company with big ambitions. We’re a truly global team, with 1300 people working across all continents, apart from (at the moment!) Antarctica. But we are proud that despite our size, we encourage and support any in-house entrepreneurs to develop their ideas into business action. Our exciting growth plans make it a great time to join us. Our people are the reason for IDT’s passion for success. The IDT family is made up of people of all backgrounds, expertise, and interests, all with a relentless team spirit. We need people who share both our commitment to success and excitement about our journey. You won’t ever be bored or have to wonder how to fill your time. You’ll find the work challenging but you’ll get the support of a great team to help you beat those challenges. You will also be expected to support others as well as work hard, work well and work with a smile. If you want a join a company that will help you become your brilliant best and achieve amazing results, then you want to join IDT.

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