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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Data Science- Intern

CommerceIQ

Location
India
Posted

Data Science Intern - Retail Media Management (RMM) at CommerceIQ

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Data Engineer II - Search Boundaries

Mapbox

Location
United States of America
Posted
Salary Range
139k - 189k USD

Geospatial Data Engineer for Boundaries team at Mapbox, integrating third-party data sources and building pipelines

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Director of Data & Site Analytics

Newsela

Location
Brazil
Posted

Lead product analytics strategy, manage data availability for strategic decisions, oversee business intelligence reporting in Tableau, and provide leadership to the website team. Must have 10+ years of experience and fluency in Spanish/Brazilian Portuguese.

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Web3 Security Data Analyst

Binance

Location
Brunei Darussalam
Posted

Security Data Analyst at Binance: Analyze on-chain data for anomalous transactions and develop detection mechanisms.

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Entry-Level AI Data Rater - French (Belgium)

Welocalize

Location
Belgium
Posted

Freelance AI Data Rater - Conduct research, evaluate e-commerce data, and rate its usefulness. Flexible hours, comprehensive learning support, and 24/7 support.

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R-13579 Data Engineer II

Rackspace

Location
Viet Nam
Posted

Data Engineer I at Rackspace Technology in Vietnam - multicloud solutions expert with end-to-end solution delivery and equal employment opportunities.

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R-12711 Data Engineer III

Rackspace

Location
Viet Nam
Posted

Data Engineer II at Rackspace Technology: Design & implement data systems using cloud services & programming languages like Python, Scala, or Java.

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Senior Program Manager - Customer Success Operations

brightwheel

Location
United States of America
Posted
Salary Range
112k - 179k USD

Lead the Customer Success Operations team at Brightwheel, focusing on process optimization, cross-functional collaboration, and driving impactful initiatives to enhance customer outcomes.

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Sr. Strategic Operations Program Manager - Banking

Mercury

Location
Canada
Posted
Salary Range
145k - 201k USD

Lead cross-functional programs at Mercury, driving strategic initiatives and coordinating large-scale efforts. Partner with key teams to align company priorities and deliver impactful results.

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Data Cloud Engineer (DataOps)

Trafilea

Location
Uruguay
Posted

Design and maintain scalable data platforms in the cloud for Trafilea's e-commerce businesses.

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Sr Manager, Salesforce Data Operations

Gitlab

Location
United States of America
Posted
Salary Range
111k - 238k USD

Lead Salesforce Data Operations at GitLab, manage territory operations, data enrichment, and cross-functional collaboration to optimize sales processes in a fully remote environment with competitive benefits.

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Senior Data Engineer - VN

Rackspace

Location
Viet Nam
Posted

Senior Data Engineer - Collaborate on data pipeline architecture, build analytics tools for actionable insights, and optimize data delivery using Spark, SQL, and Azure/AWS.

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Lead Data Software Engineer, SuperAds

Superside

Location
Cameroon
Posted

Lead Data Software Engineer for SuperAds' AI-powered creative analytics platform, designing & scaling backend systems, optimizing data processing & driving innovation in SaaS.

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Senior Big Data Engineer

Binance

Location
Brunei Darussalam
Posted

Senior Big Data Engineer at Binance: Design & build efficient data platforms with automation, ML & DevOps

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VP - Data and Analytics

COMPLY

Location
United States of America
Posted
Salary Range
185k - 200k USD

Lead the data engineering teams at COMPLY to build scalable data platforms, drive insights, foster a self-service culture, and leverage AI/ML for innovation. Enjoy comprehensive benefits and remote work flexibility.

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Remote Data Annotator - German (Romania)

Welocalize

Location
Romania
Posted

Freelance Data Annotator - German (Romania) - Conduct research on e-commerce data, rate products, and contribute to AI advancements.

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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