Senior Data Scientist - Analytics

October 11

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Logo of Machinify, Inc.

Machinify, Inc.

Machine Learning • Deep Learning • Large-scale Data Processing • Cluster Computing • Real-time predictions

51 - 200

💰 $10M Series A on 2018-10

Description

• Analyze business situations to explain current state and forecast outcomes with data driven analysis and presenting to senior and executive level leadership • Own performance objectives for key clients and stakeholders • Closely monitor performance vs expectation • Device analytical strategies (incl. business process changes) to optimize business outcomes • Partner with various stakeholders Product/Data Science/Engineering/Data Engineering • Influence product roadmap to deliver optimized business results • Be the product owner for key analytical artifacts. Work closely with Data Engineering to setup requisite backend infrastructure that supports analysis

Requirements

• Proficiency in writing SQL queries and visualizing data • 6+ years of experience owning business analysis, preferably within a SaaS • Ability to identify actionable insights from business problems/situations • Polished presentation skills, presenting data and findings to senior leadership and external stakeholders • Passion for tackling complex challenges in a dynamic industry that touches millions of lives. • You’re a strategic thinker with a sharp attention to detail, able to navigate complexity while keeping the bigger picture in focus. • You’re a self-starter who thrives in taking ownership, leading projects from concept to completion with confidence. • You excel at building strong, trust-based relationships, consistently delivering value and fostering collaboration.

Benefits

• Work from anywhere in the US! Machinify is digital-first. • Flexible and trusting environment where you’ll feel empowered to do your best work • Unlimited PTO, recharge days and one no-meetings day a week • Medical/Dental/Vision benefits with 100% premium coverage options! • Competitive salary, equity, 401(k) sponsorship • Generous Learning and Development Reimbursement policy

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