Remote Jobs

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Binance Accelerator Program - Data Scientist

Binance

Location
Brunei Darussalam
Posted

Data Scientist role in Binance Accelerator Program, leveraging rich data and machine learning infrastructure to develop impactful analysis and solutions.

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Talent Community Form

Zapier

Location
Brazil
Posted

Join Zapier as a remote team member and collaborate on automation projects that make a difference

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Intel Specialist

Messari

Location
United States of America
Posted
Salary Range
80k - 80k USD

Analyze and report on key events in the cryptocurrency space for Messari's Intel platform. Stay informed about L1/L2 networks, smart contracts, and crypto infrastructure to provide timely insights to users.

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Lifecycle & BD Manager

Binance

Location
Viet Nam
Posted

Lifecycle & BD Manager at Binance: Develop marketing campaigns, collaborate with teams, analyze performance, and engage with followers.

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Senior Product Manager – Connect

Contentsquare

Location
France
Posted

Senior Product Manager for Connect at Contentsquare, expanding data 'out' capabilities and enabling seamless integration with external data sources.

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Midmarket Account Executive

One Model

Location
United States of America
Posted

Mid Market Account Executive role at One Model, promoting advanced-analytics solutions with flexible remote work options.

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Tech Lead Manager

Kalepa

Location
Croatia
Posted
Salary Range
156k - 204k USD

Lead a team of engineers at Kalepa, combining technical expertise with leadership to optimize performance, manage operations, and drive innovation in a fast-paced environment. Enjoy competitive compensation, equity, and various benefits including global offsites and health insurance.

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Lifecycle Marketing Manager

Dropbox

Location
United States of America
Posted
Salary Range
128k - 195k USD

Demand generation lifecycle marketer for Dropbox, focusing on nurture marketing strategies, lead scoring, and campaign optimization.

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Tech Lead Kotlin - Backend

Masabi

Location
Spain
Posted

Backend Kotlin Developer at Masabi: build fare collection platforms with diverse tech stack

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Tech Lead Kotlin - Backend

Masabi

Location
Romania
Posted

Backend Kotlin Developer at Masabi: build fare collection platforms with diverse tech stack

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SDET (Python) - Trading Tech

Binance

Location
Brunei Darussalam
Posted

SDET (Python) - Trading Tech at Binance: Design & develop integration tests for high-performance backend software stack

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People Ops Communication Contractor

Postman

Location
United States of America
Posted

Remote People Ops Communications Specialist role at Postman, utilizing writing and editing skills to craft impactful internal communications.

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Mobile Platform Tech Lead

Yazio

Location
Germany
Posted

Mobile Tech Lead for Kotlin Multiplatform (KMP) with remote work options, $4,000/year travel stipends, and equity in a fast-growing company.

Director - FP&A

Coursera

Location
India
Posted

Lead FP&A initiatives, drive strategic decision-making through comprehensive analysis, optimize resource allocation across departments, and support corporate finance functions including reporting and forecasting.

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Senior Tech Lead

CommerceIQ

Location
India
Posted

Senior Tech Lead for Retail Media platform on AWS, Spark, Databricks & Kubernetes

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Senior Tech Lead

CommerceIQ

Location
India
Posted

Senior Tech Lead for Retail Media platform on AWS, Spark, Databricks & Kubernetes

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Investing Tech Team Lead

The Motley Fool

Location
United States of America
Posted

Lead investing microservices team at The Motley Fool, innovating fintech solutions with Python-based frameworks, performance optimization, and high-performance teams.

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Binance Accelerator Program - Data Scientist

Binance

Job Summary

The Binance Accelerator Program is a fixed-term program for early career talent to experience life at Binance and understand the inner workings of the world's leading blockchain ecosystem. As a data scientist, you will leverage rich data and state-of-the-art machine learning infrastructure to develop impactful analysis and solutions. You will collaborate with a strong team to define and build features, algorithms, and products based on our data and cutting-edge technology. This program offers opportunities for career growth, continuous learning, and a competitive salary. With flexible work arrangements, you can thrive in a results-driven workplace. The program is designed for current university students and recent graduates who are passionate about data-driven business and have experience with machine learning models at scale.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

About Binance Accelerator Program 

Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program
 
Who may apply

Current university students and recent graduates

Data driven based business is the core in helping  to use cloud native platform to serve tens of millions of crypto-currency users. Engineers and Data Scientists across the company use the data platform to do interesting and impactful analysis for continuous innovations.

As a data scientist, you will have the opportunity to leverage rich data (PB-level scalability) and state-of-art machine learning infrastructure to develop data products which are used by our tens of millions of crypto-currency users.

You will collaborate with a strong team of engineers, data analysts, business operation and product/marketing managers to define and build solutions, features, algorithms and products based off our rich data and cutting-edge machine learning technology.

Responsibilities:

    • Leverage of our PB-scale data warehouse to perform in-depth analysis to build personalized services and provide abnormal user automated recognitionDigital data asset
    • Obtain the blockchain based data to perform chain-based data analysis, prediction and recommendations
    • Data driven customer feedback and satisfaction analysis: leverage of machine learning techniques to understand customer’s feedback and satisfaction with proven data evidence and analysis

Requirements:

    • Must be a full-time undergraduate/graduate student in good academic standing
    • Project experience with developing machine learning models at scale
    • Deep understanding of modern machine learning techniques and mathematical underpinning, such as classifications, recommendation systems, optimization and etc
    • Good experience with processing large size data is preferred
    • Good experience with Python, Java and/or Scala is preferred
    • Master’s or above is preferred 
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
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