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Data Engineer

San Francisco

SpringCube

Full-time - Senior Engineer

Healthcare, Biotech, Pharma & Life Sciences

Posted 4 weeks ago

$160,000 - $200,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading global customer engagement technology company is seeking a Forward-Deployed Data Scientist II to help customers maximize the value of AI-driven marketing solutions. The organization specializes in delivering innovative customer engagement platforms powered by machine learning and advanced analytics, fostering a collaborative culture focused on innovation, customer success, and professional growth.

Summary
The Forward-Deployed Data Scientist II partners closely with customers and internal teams to implement AI and machine learning solutions that drive measurable business outcomes. This role combines technical expertise, customer collaboration, and product innovation to ensure successful deployments, optimize data pipelines, and contribute to the evolution of AI-powered products.

Responsibilities

  • Collaborate with customer Analytics and Business Intelligence teams, as well as internal colleagues, on solution implementations, including use case definition, data integration, pipeline setup, and machine learning model configuration.
  • Extend product capabilities by developing reusable data pipelines, APIs, and scalable software components.
  • Work closely with reinforcement learning pipeline development teams to improve and advance self-learning algorithms.
  • Contribute customer insights and technical expertise to influence AI product strategy and roadmap development.
  • Provide ongoing technical guidance to ensure successful product adoption, measurable customer outcomes, and long-term success.
  • Partner with cross-functional teams to deliver scalable AI solutions that meet customer business objectives.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required.
  • Master’s or PhD in a relevant technical discipline is preferred.
  • 3–5+ years of experience as a Data Scientist, Machine Learning Engineer, or a similar role working with large-scale data and production environments.
  • Experience in customer-facing, consulting, or implementation-focused roles is strongly preferred.
  • Proficiency in Python (including Pandas), SQL, and machine learning libraries such as TensorFlow, Keras, Scikit-learn, CatBoost, and XGBoost.
  • Experience building machine learning pipelines and deploying models into production environments.
  • Strong software engineering practices, including Git, CI/CD, testing frameworks, type hinting, code reviews, and modular code development.
  • Experience with DevOps technologies such as Airflow, Kubernetes, Terraform, Google Cloud Platform (GCP), ETL processes, or pipeline optimization is an advantage.
  • Knowledge of reinforcement learning algorithms is a plus.
  • Strong customer engagement, stakeholder management, and cross-functional collaboration skills.
  • Excellent analytical, problem-solving, and communication abilities.
  • Passion for continuous learning and staying current with emerging AI and machine learning technologies.

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a specialist career platform for AI, Data & Cloud Engineering professionals, connecting top ML, data, and cloud talent with leading tech employers hiring across the San Francisco Bay Area.

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SpringCube Tech Jobs Pte Ltd
  • 10 Anson Road #33-04A
    International Plaza
    Singapore 079903
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