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Senior Consultant - Machine Learning Scientist | Remote | WFH

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

8+ years of relevant experience, Bachelor's or advanced degree, Experience in Machine Learning, Deep Learning, Proficient in Python, Java, SQL, Familiar with Big Data technologies.

Key responsabilities:

  • Develop fraud detection solutions
  • Collaborate with product stakeholders and engineers
  • Experiment with datasets to validate hypotheses
  • Explore modeling algorithms for data analysis
  • Mentor fellow Machine Learning scientists
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2 - 10 Employees
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Job description

Logo Jobgether

Your missions

Job Overview

We are a prestigious organization in the payments and technology sector, dedicated to connecting the world through innovative and secure payment solutions. Our mission centers on empowering individuals, businesses, and economies globally, fostering a thriving environment for all participants.

As a pivotal member of our Ecosystem & Operational Risk group, specifically within the Payment Fraud Disruption team, you will be instrumental in developing advanced risk and fraud detection applications and services. Your contributions will directly enhance the safety and integrity of our payment ecosystem.

Key Responsibilities

As a Senior Consultant specializing in Machine Learning, you will:

  • Design and develop cutting-edge fraud detection solutions within an agile framework, ensuring alignment with business objectives.
  • Translate complex business challenges into technical data problems while closely collaborating with product stakeholders.
  • Collaborate with software engineers to confirm the feasibility and effectiveness of proposed solutions.
  • Experiment with both in-house and third-party datasets to validate hypotheses and create necessary data transformations on both structured and unstructured data.
  • Explore various modeling and scoring algorithms, creating custom algorithms and utilizing packaged tools derived from machine learning and statistical techniques.
  • Implement adaptive learning strategies, model validation processes, and performance monitoring methods to ensure optimal functionality of models in production.
  • Mentor and instruct fellow Machine Learning scientists, sharing your expertise on key solutions.
  • Effectively communicate technical solutions and project updates in clear, business-friendly language to ensure stakeholder alignment.

Required Skills

  • Extensive experience in Machine Learning, Deep Learning, Stream Computing, and MLOps.
  • Proficiency in programming languages including Python, Perl, Java, Scala, and/or Unix/Linux scripting.
  • Significant experience with data extraction and aggregation tools, such as SAS, SQL, and Hive.
  • Familiarity with Big Data technologies like Hadoop and Spark, as well as deep learning frameworks such as TensorFlow.
  • Proven experience in developing large-scale, enterprise-level distributed systems focusing on high availability and low latency.

Qualifications

  • A minimum of 8 years of relevant experience with a Bachelor's degree, or 5+ years with an Advanced degree (Master's, MBA, JD, MD), or 2+ years with a PhD.
  • Preferred: 9+ years with a Bachelor's degree, or 7+ years with an Advanced degree, or 3+ years with a PhD.

Career Growth Opportunities

Joining our team offers you the chance to further your expertise in AI applications while facing new challenges that can significantly impact our payment ecosystem. We are committed to your professional development and provide ample opportunities for skill enhancement and career progression.

Company Culture and Values

Our organization values innovation, collaboration, and integrity. We strive to create a diverse and inclusive workplace that empowers every employee to thrive and contribute to our mission of secure global payments.

Compensation And Benefits

We offer a competitive salary range of \(145,400 to \)210,850 per year, based on your skills and experience. Our comprehensive benefits package includes medical, dental, and vision coverage, as well as a 401(k) plan with company matching, life insurance, paid time off, and wellness programs.

Join Us

If you are an ambitious professional eager to leverage AI for enhancing fraud detection mechanisms and ready to embrace new challenges, we encourage you to apply and make a substantial impact within our team.

Employment Type: Full-Time

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • Collaboration
  • Communication
  • Mentorship
  • Problem Solving

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