Senior Data Scientist - (Remote - US)

Jobgether; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a Senior Data Scientist to enhance AI-driven financial crime detection solutions. In this pivotal role, you will develop and optimize machine learning models focused on anomaly detection, collaborating with cross-functional teams and guiding junior data scientists. This is a unique opportunity to work on cutting-edge technologies that make a real-world impact in the fight against financial crime. If you are passionate about AI and eager to contribute to innovative solutions, this role offers a dynamic environment with opportunities for professional growth and mentorship.

Benefits

Competitive salary

Comprehensive benefits package

Flexible remote work options

Mentorship opportunities

Access to cutting-edge AI tools

Inclusive company culture

Qualifications

• 5+ years of experience in AI, machine learning, and data science.
• Strong proficiency in Python and machine learning frameworks.
• Experience with anomaly detection related to financial crime.

Responsibilities

• Develop and deploy machine learning models for financial crime detection.
• Enhance data pipelines based on customer feedback.
• Lead AI model governance and ensure reliability.

Skills

Python

Machine Learning

Anomaly Detection

SQL

MLOps

Cloud Environments (AWS)

Kubernetes

Docker

C++

Education

Ph.D. in Computer Science

Master’s in Mathematics

Tools

PyTorch

TensorFlow

Keras

MLflow

Job description

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Data Scientist in United States.

As a Senior Data Scientist, you will play a pivotal role in shaping and enhancing AI-driven financial crime detection solutions. You will develop, deploy, and optimize machine learning models focused on anomaly detection to detect money laundering and fraudulent activities. In this hands-on role, you will collaborate with cross-functional teams, guide junior data scientists, and engage with customers to ensure that AI solutions are scalable, reliable, and meet market expectations. This is an exciting opportunity to contribute to impactful, cutting-edge technologies in the fight against financial crime.

Accountabilities:

• Develop and deploy machine learning models to detect financial crime, focusing on anomaly detection.
• Enhance and optimize data pipelines, incorporating customer feedback to improve detection accuracy.
• Lead AI model governance, ensuring models are interpretable, scalable, and reliable for real-world deployment.
• Collaborate closely with customers and stakeholders to translate feedback into technical improvements and product enhancements.
• Apply MLOps best practices to ensure smooth production-ready AI implementations.
• Provide mentorship and technical guidance to junior team members while remaining hands-on with model development.
• Stay updated on the latest AI trends and financial crime detection methodologies, continually evolving the platform's capabilities.

• 5+ years of experience in AI, machine learning, and data science with practical deployment experience.
• Strong proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and Keras.
• Extensive experience with Kubernetes and Docker for containerized AI deployments.
• Familiarity with cloud environments (AWS preferred) for AI model deployment.
• Expertise in SQL and standard data manipulation techniques.
• Experience with anomaly detection, ideally related to financial crime patterns.
• Knowledge of MLOps, including model monitoring, retraining strategies, and production pipelines.
• Experience with AI testing platforms (e.g., MLflow) and C++ is a plus.
• A full-stack mindset, with the ability to build, deploy, and refine AI solutions in production.
• Strong customer interaction skills and the ability to translate customer needs into technical solutions.
• A Ph.D. or Master’s in Computer Science, Mathematics, Statistics, or a related field is preferred but not required.

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth and learning in an innovative field.
• Flexible remote work options.
• Mentorship opportunities, including guidance for junior team members.
• Engaging work environment focused on making a real-world impact on financial crime prevention.
• Access to cutting-edge AI tools and technologies.
• Inclusive and collaborative company culture with a focus on mutual trust and support.

Jobgether hiring process disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates based on merit.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

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