Remote Jobs

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Binance Accelerator Program - Data Scientist (TechOps)

Binance

Location
Taiwan, Republic of China
Posted

Data Scientist (TechOps) at Binance Accelerator Program - Build personalized services, analyze large data sets, and collaborate with world-class talent on fast-paced projects.

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Entry-Level AI Data Rater - Japanese (Philippines)

Welocalize

Location
Philippines
Posted

Freelance AI Data Rater - Japanese (Philippines) - Conduct research on e-commerce data, evaluate product filters and results, and rate data according to guidelines. Flexible scheduling and comprehensive learning support available.

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Senior Data Engineer – 100% Remote EMEA

Hostaway

Location
Cameroon
Posted

Senior Data Engineer role at Hostaway, leading data engineering practice for analytics across the company, with experience in dbt, Airflow, Fivetran, Google Cloud data ecosystem, and BigQuery services.

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Safety Officer with Data Center experience

Myriad360

Location
United States of America
Posted
Salary Range
110k - 130k USD

Safety Officer: Develop and enforce site-specific safety plans, conduct weekly safety seminars, and ensure compliance with OSHA standards.

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Session Lead - Cloud Data engineering AWS Session lead

Udacity

Location
India
Posted

Provide technical support and leadership to students in a Nanodegree program, managing virtual sessions, addressing questions, and fostering a supportive learning environment while leveraging your expertise in data engineering technologies.

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Senior Software Engineer - Backend _Java/Big Data

Syndigo

Location
India
Posted

Senior Software Engineer - Java/Big Data at Syndigo: Develop high-quality software design and architecture, collaborate with internal teams, and contribute to product development.

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Sr Big Data Engineer Airflow and Oozie (GCP)

Rackspace

Posted
Salary Range
116k - 198k USD

Join Rackspace Technology as a Senior Big Data Engineer and work on scalable batch processing systems using Hadoop, Oozie, Airflow, and GCP. Enjoy remote flexibility and competitive compensation with excellent benefits.

Binance logo

Binance Accelerator Program - Data Scientist (TechOps)

Binance

Job Summary

The Binance Accelerator Program - Data Scientist (TechOps) is a 6-month program designed for early career talent to experience life at Binance and gain an immersive understanding of the blockchain ecosystem. As a data scientist, you will leverage PB-scale data warehouses to perform in-depth analysis, build personalized services, and provide abnormal user automated recognition digital data asset analysis. You will work with world-class talent on unique, fast-paced projects with autonomy, and thrive in a results-driven workplace with opportunities for career growth and continuous learning. The program is open to current university students and recent graduates who can commit at least 6 months tenure, 5 days per week. Binance offers competitive salary, company benefits, and flexible remote work options. By joining the program, you will shape the future of blockchain technology and contribute to a user-centric global organization with a flat structure.

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 HERE
 
Who may apply
 
Current University students and recent Graduates who can commit at least 6 months tenure, 5 days per week.

Responsibilities:

    • Leverage of our PB-scale data warehouse to perform in-depth analysis to build personalized services and provide abnormal user automated recognition digital 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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