Shipium · 2 days ago

Data Scientist/ Machine Learning Manager

United States

Full-time

Remote

Mid, Senior Level

6+ years exp

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Responsibilities

Lead the development of advanced automation tooling for data orchestration, evaluation, testing, monitoring, administration, and data operations

Inspire and lead the team, which includes Machine Learning Engineers, Data Scientists, and Data Engineers, by setting clear objectives, promoting innovation, and ensuring alignment with the company’s strategic goals

Create a high-performing team and foster a culture of technical excellence, continuous improvement, and collaborative problem-solving within the team

Work closely with your peers and product teams to understand the needs of the larger organization for applications of machine learning in their spaces, not just responding to requests but also actively thinking about where machine learning is the right tool for helping to solve problems across Shipium

Qualification

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Software engineeringMachine learningData scienceMl algorithmsPythonScalaRData analysisMethodologiesStatisticalPeople managementTalent reviewsSuccession planningData best practicesKnowledge & toolsMlopsAgile software developmentB2b saasProduction environmentTechnical roadmapProblem-solvingCommunicationInterpersonalLeadershipConflict resolutionPerformance managementCoachingInfluenceInspire

Required

6+ years of experience in software engineering, machine learning, or data science with recent experience in machine learning demonstrating mastery of advanced ML algorithms, frameworks, and technology platforms

5 years of experience in Python and Python-based ML libraries, (Pytouch, TensorFlow, etc) Scala, or R for large scale data analysis

Experience developing solutions using a variety of methodologies such as mathematical, statistical, and machine learning

2+ years of people management experience including highly effective conflict resolution, performance management, talent reviews, succession planning, and coaching low to high-level performers

Demonstrated experience in defining and maturing Data Science discipline including but not limited to driving data best practices, knowledge & tools, and MLOps

Exceptional communication and interpersonal skills, capable of leading diverse teams and driving cross-functional collaboration.Experience working in a high-growth agile software development environment, ideally with experience in B2B SaaS

Ability to influence and inspire others to positively impact decisions and lead teams through complex or ambiguous situations or challenges.Experience building and supporting large-scale systems in a production environment

Ability to communicate technical roadmap, challenges, and mitigation