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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Lead Data Scientist

Upwork

Location
United States of America
Posted
Salary Range
158k - 184k USD

Lead Data Scientist role at Upwork, analyzing marketplace dynamics with data science expertise

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Data Scientist - Marketing

ElevenLabs

Location
Canada
Posted

Data Scientist for paid marketing analytics and operations at ElevenLabs

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Data Scientist II

TrueML

Location
Argentina
Posted
Salary Range
44k - 79k USD

Join TrueML as a Data Scientist to leverage your skills in Python, pandas, SQL, and machine learning tools to drive impactful solutions for distressed borrowers using data-driven approaches.

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Data Scientist (NLP)

Binance

Location
Brunei Darussalam
Posted

Data Scientist (NLP) position at Binance, utilizing internal data to train models and develop applications for business decision-making.

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Data Scientist(LLM)

Binance

Location
Taiwan, Republic of China
Posted

Data Scientist (LLM) job at Binance for cutting-edge research and development of large language models and AI technologies.

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Staff Data Scientist

OfferFit

Location
Brazil
Posted

Optimize live ML models using Reinforcement Learning and Causal ML at OfferFit. Collaborate with engineering teams to improve algorithms and deploy recent advances in production. Enjoy generous benefits including remote work flexibility and team support.

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Senior Data Scientist

Simple app

Location
Cyprus
Posted

Senior Data Scientist role at Simple, developing AI-powered health solutions with 15 million users, utilizing machine learning algorithms and modern data science techniques.

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Senior Data Scientist

StackAdapt

Location
Canada
Posted

Data Scientist at StackAdapt: Innovate ML algorithms, write production code, and optimize advertising performance.

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Data Scientist - Ads

Reddit

Location
United States of America
Posted
Salary Range
164k - 230k USD

As a Data Scientist at Reddit, you'll work on ads targeting, relevance modeling, auction optimization, measurement, and user experience. Leverage data to drive advertiser value and collaborate with cross-functional teams to build impactful solutions.

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Data Scientist Intern

Rackspace

Location
Mexico
Posted

Data Scientist Intern - Analyze data, build predictive models, and extract insights for AI product development

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Data Scientist - Product Analytics

Whatnot

Location
United States of America
Posted
Salary Range
158k - 205k USD

Data Scientist - Product Analytics at Whatnot: drive growth and improve user experience through data science methodologies

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Lead Data Scientist - Analytics

Alma

Location
United States of America
Posted
Salary Range
170k - 190k USD

Lead data-driven initiatives at Alma to enhance customer acquisition and optimize marketing strategies through statistical analysis, A/B testing, and cross-functional collaboration with Product, Engineering, and Marketing teams. Utilize SQL and R/Python for impactful projects.

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Senior Product Data Scientist

Heetch

Location
Algeria
Posted

Join Heetch as a Product Data Scientist and drive business growth with data-driven decisions

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Data Scientist - Product Data Science

Wealthsimple

Location
Canada
Posted
Salary Range
80k - 120k CAD

Join Wealthsimple's Growth Data Science team to leverage data science in driving business decisions and building innovative financial products using Python, SQL, and machine learning techniques.

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Senior Data Scientist - Consumer

Reddit

Location
United States of America
Posted

Senior Data Scientist at Reddit: drive product strategy through data analysis and experimentation

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Senior Data Scientist, Hungary

Signifyd

Location
Hungary
Posted

Senior Data Scientist at Signifyd: build production ML models, collaborate with engineering teams, and improve e-commerce shopping experience.

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Senior/Staff Data Scientist

StackAdapt

Location
United States of America
Posted

Data Scientist at StackAdapt: Develop advanced machine learning algorithms to enhance advertising effectiveness and ROI.

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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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