Data Science Engineering Manager - (Remote - US)

Description

About Jobgether

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 Data Science Engineering Manager in the United States.

We’re seeking a highly skilled and strategic Data Science Engineering Manager to lead the development of scalable data infrastructure, machine learning systems, and real-time analytics pipelines. In this role, you will guide a team of engineers working on production-grade data products that drive pricing models, personalization tools, and risk management systems. You’ll collaborate closely with data scientists, engineers, and product teams to operationalize models and ensure system performance, quality, and scalability. Ideal candidates are hands-on leaders who thrive in fast-paced environments and are passionate about empowering technical teams to build high-impact, data-driven products.

Accountabilities:

Lead and mentor a team of data science engineers to deliver robust, real-time data products

Oversee the design and deployment of high-throughput data pipelines and MLOps infrastructure

Collaborate with data science and engineering teams to operationalize and maintain ML models

Ensure uptime, performance, and monitoring of data systems in production environments

Contribute to architectural decisions around APIs, ML stacks, and cloud infrastructure

Implement best practices in documentation, testing, deployment, and alerting

Partner with stakeholders to align technical strategy with business objectives

Champion the adoption of emerging technologies and practices across technical teams

Requirements

3+ years of experience managing engineering teams focused on data science or ML systems

7+ years of hands-on experience in backend, data, or ML engineering

Proven track record of shipping and maintaining production data systems in cloud environments

Deep knowledge of Python, SQL, and tools such as Airflow, MLFlow, FastAPI, and Docker

Experience with GCP services (e.g., BigQuery, Cloud Functions, Kubernetes) and MLOps tools

Familiarity with machine learning frameworks (e.g., PyTorch, scikit-learn, TensorFlow)

Strong communication, cross-functional collaboration, and technical leadership skills

Degree in Computer Science, Statistics, or related field; Master’s or PhD preferred

A background in simulation, personalization, or real-time ML is a strong plus

Benefits

Competitive salary ranging from $155,000 to $215,000

Annual bonus opportunities

Company-subsidized medical, dental, and vision plans

401(k) plan with employer match

Flexible PTO with a strong encouragement to take at least two weeks off

16 weeks of paid parental leave and additional paid disability benefits

Modern work schedules and remote work flexibility

Lifestyle enhancement and wellness programs

Annual performance reviews and career development opportunities

Company-sponsored team events and in-person gatherings

Choice of Mac or Windows equipment provided

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.

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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