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Data Science Lead - Remote

Posted 4 days ago
Data Analysis
Full Time
Worldwide

Overview

As a Lead Data Scientist at Blend, you will be developing advanced recommendation engines and deploying machine learning models into production environments, playing a pivotal role in enhancing data-driven decision-making processes.

In Short

  • Design and implement scalable machine learning pipelines.
  • Collaborate with data engineering and product teams.
  • Lead end-to-end development of machine learning models.
  • Optimize model training and inference workflows.
  • Conduct performance evaluations and validation strategies.
  • Maintain high standards of reproducibility and traceability.
  • Partner with stakeholders to align modeling efforts with strategic objectives.

Requirements

  • 4+ years of experience in data science or related roles.
  • Expertise in Python and PySpark.
  • Proven experience in MLOps.
  • Solid understanding of machine learning algorithms.
  • Experience with recommendation engines.
  • Experience with cloud platforms and big data technologies is a plus.
  • Strong communication skills.
  • Leadership experience in mentoring a team.
  • Detail-oriented with a passion for scalable machine learning systems.

Benefits

  • Flexible working options.
  • All necessary equipment provided.
  • Snacks and beverages available.
  • After office events and activities.
  • Learning opportunities including AWS certifications.
  • Mentoring and development opportunities.
  • Great location and teammates.
Blend360 logo

Blend360

Blend360 is an award-winning consultancy that specializes in delivering exceptional results for Fortune 500 and 1000 clients, as well as other major organizations. The company operates at the intersection of advanced analytics, data, and technology, and is committed to matching clients with the right talent to advance their critical initiatives. Recognized as one of the Inc. 5000 fastest growing companies for eight consecutive years, Blend360 prides itself on its world-class Net Promoter Score (NPS) and a strong focus on the career advancement of its employees. The company fosters a collaborative environment where talented individuals can thrive while working with an impressive roster of clients.

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