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<div>
 
 
 Data Scientist &ndash; Healthcare
 
 
 
 
 
 
 
 The Opportunity
 
 
 
 My client is hiring a commercially minded
 
 Data Scientist
 
 to drive insight-led decision-making across a global healthcare events portfolio. Reporting to the Marketing Director, this newly created role will play a key role in unlocking growth across audiences, exhibitors, and revenue.
 
 
 You&rsquo;ll turn complex data into clear, actionable insights that inform marketing, commercial, and product strategy &mdash; helping the business move faster and smarter.
 
 
 
 
 
 
 About You
 
 
 <ul>
 <li>
 5+ years&rsquo; experience as a Data Scientist or Senior Analyst (marketing, SaaS, or events experience preferred)
 </li>
 <li>
 Strong expertise in data modelling, predictive analytics, segmentation, and growth analytics
 </li>
 <li>
 Proficient in
 
 Python, SQL, Power BI
 
 (or similar tools)
 </li>
 <li>
 Experience working with
 
 CRM and marketing automation data
 
 </li>
 <li>
 Commercially focused, with the ability to link insights to revenue and growth
 </li>
 <li>
 Confident communicator who can influence non-technical stakeholders
 </li>
 <li>
 Curious, proactive, and driven by impact
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Translate marketing, audience, and exhibitor data into actionable strategic insights
 </li>
 <li>
 Identify growth opportunities through audience behaviour and segmentation analysis
 </li>
 <li>
 Build and measure growth loops across engagement, retention, and referrals
 </li>
 <li>
 Analyse campaign performance, attribution, and ROI to optimise spend
 </li>
 <li>
 Develop predictive models for attendance, leads, and exhibitor demand
 </li>
 <li>
 Design dashboards and reporting that support real-time decision-making
 </li>
 <li>
 Partner cross-functionally to embed insights into everyday business decisions
 </li>
 </ul>
 
 
 
 
 *** Only successful candidates will be contacted ***
 
 
 
</div>

Data Scientist

Point72

<div><div><div>EXPERIENCE
<div>Early Career</div>
</div><div>LOCATION
<div>London | Hong Kong | Singapore | Dubai, UAE</div>
</div><div>FOCUS
<div>Systematic Investing</div>
</div><div>BUSINESS
<div>Cubist</div></div></div></div>
 <div><h3 class="jobSectionHeader">About Cubist</h3>

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.<h3 class="jobSectionHeader"> 
Role</h3>

Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced techniques to engineer, validate, and refine features that feed directly into our systematic models. This is a role within an established investment team, offering opportunities for progression into more senior research responsibilities across the full trading pipeline.<h3 class="jobSectionHeader"> 
Responsibilities</h3>
<ul><li>Conduct thorough data analysis under the mentorship of a senior quantitative researcher.</li><li>
Generate novel ideas for enhanced proprietary data products.</li><li>
Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.</li><li>
Transform firm approved raw datasets into robust features for our systematic models.</li><li>
Build analytical tools to supplement our shared research framework.</li></ul><h3 class="jobSectionHeader"> 
Requirements</h3>
<ul><li>BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.</li><li>
Programming in Python (or a comparable language) and working knowledge of SQL.</li><li>
Strong analytical and quantitative skills.</li><li>
Willingness to take ownership of their work.</li><li>
Ability to work both independently and collaboratively within a team.</li><li>
Strong desire to deliver high quality results in a timely fashion.
</li><li>High attention to detail.</li><li>
Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus
</li><li>Commitment to the highest ethical standards.</li></ul></div>

Huspy

<div>
 
 The Story So Far: We&rsquo;re Building a Global Brand in Real Estate
 
 
 
 Huspy is one of the leading property technology companies in EMEA.Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026.
 
 
 Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we&rsquo;ve entered.We&rsquo;ve raised over $140 million (Series A and Series B) from the world&rsquo;s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.
 
 
 We&rsquo;ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world&rsquo;s most traditional industries. We&rsquo;re transforming how property transactions happen &mdash; faster, smarter, and better for everyone.We&rsquo;re not slowing down.
 
 
 The question is: will you be part of what&rsquo;s next?
 
 
 
 The Main Event: What You&rsquo;ll Drive, Build, and Own
 
 
 
 <ul>
 <li>
 Real Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches.
 </li>
 <li>
 Multimodal Embeddings: Create vector representations of Real Estate entities, such as listings, combining images, text, and structured attributes to power search, matching, deduping, or recommendations.
 </li>
 <li>
 Data Analysis &amp; Experimentation: Use SQL/Python to extract, clean, and analyze data; design experiments and evaluate model-product impact with robust metrics.
 </li>
 <li>
 Model Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering).
 </li>
 <li>
 Cross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions.
 
 
 </li>
 </ul>
 
 The Perfect Match: What It Takes to Succeed at Huspy
 
 
 
 <ul>
 <li>
 Proven Experience: 4&ndash;8 years in applied data science/ML, delivering models that move real-world KPIs.
 </li>
 <li>
 SQL &amp; Python Mastery: Strong in frameworks such as Pandas/NumPy/Scikit-learn...building reliable data pipelines, model training and evaluation.
 </li>
 <li>
 MLOps Fundamentals: Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training.
 </li>
 <li>
 Communication &amp; Ownership: Clear with technical/non-technical stakeholders; can scope, prioritize, and explain tradeoffs.
 </li>
 <li>
 Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts).
 </li>
 <li>
 Nice to Have: Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure.
 </li>
 <li>
 Academic Background: Bachelor&rsquo;s in STEM (Master&rsquo;s a plus).
 </li>
 </ul>
</div>

Property Finder

<div>
 
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 
 
 
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 
 
 We are looking for a highly experienced
 
 Data Scientist
 
 with foundational skills in
 
 Machine Learning Engineering, and Generative AI
 
 to join our innovative AI &amp; Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role.
 
 
 This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design and implement advanced predictive and optimization models, leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
 </li>
 <li>
 Drive applied innovation in Large Language Models (LLMs), Generative AI, and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.
 </li>
 <li>
 Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.
 </li>
 <li>
 Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
 </li>
 <li>
 Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
 </li>
 <li>
 Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
 </li>
 <li>
 Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
 </li>
 <li>
 Continuously optimize model performance for scalability, efficiency, and real-world reliability.
 </li>
 <li>
 Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
 </li>
 </ul>
 
 
 
 
 
 Cross-Team Collaboration
 
 :
 
 <ul>
 <li>
 Partner with the Data Platform and Engineering teams to optimize model deployment and operational workflows.
 </li>
 <li>
 Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.
 </li>
 </ul>
 
 
 
 
 
 Desired Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Education: Bachelor or above in Computer Science, Data Science, Machine Learning, or a related field.
 </li>
 <li>
 Experience: At least 3+ years in Data Science or MLE roles and foundational MLOps practices.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.
 </li>
 <li>
 Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.
 </li>
 <li>
 Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.
 </li>
 <li>
 Experience with API development and connecting AI systems to external platforms.
 </li>
 <li>
 Working knowledge in deep learning techniques, including CNNs, RNNs, and transformers.
 </li>
 <li>
 Hands-on experience in applied GenAI/LLMs/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems.
 </li>
 <li>
 Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.
 </li>
 <li>
 Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/CD workflows, and containerization tools like Docker.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Effective communication and collaboration skills, particularly in cross-functional environments.
 </li>
 <li>
 Strategic mindset with the ability to translate business goals into data-driven initiatives.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 <ul>
 <li>
 Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
 </li>
 <li>
 Collaborate with top talent across diverse teams and disciplines.
 </li>
 <li>
 Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.
 </li>
 </ul>
 
 
 
 
 
 Our promise to talent
 
 
 
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 
 
 
 Property Finder Guiding Principles
 
 
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 </li>
 </ul>
 
 
 
 
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
 
</div>

Delivery Hero

<div>Company Description 
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region. 
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily. 
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner. 
Job Description 
As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations.
Responsibilities<ul><li>
Leveraging ambiguous business problems as opportunities to drive objective criteria using data.</li><li>
Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.</li><li>
Designing and implementing effective and impactful machine learning and generative AI systems in production.</li><li>
Developing a deep understanding of the product experiences and business processes that make up your area of focus.</li><li>
Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.</li><li>
Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.</li><li>
Working closely with product and business teams to identify important questions that can be answered effectively with data.</li><li>
Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.</li><li>
Designing, planning, and analyzing experiments (A/B and multivariate tests).</li><li>
Supporting product and business managers with KPI design and goal setting.</li><li>
Mentoring other data scientists in their growth journeys.</li><li>
Contributing to improving our ways of working, our tooling, and our internal training programs.</li></ul> 
Qualifications 
Requirements
Technical Experience<ul><li>
Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.</li><li>
Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).</li><li>
Excellent SQL.</li><li>
Competence with reproducible data analysis using Python or R.</li><li>
Familiarity with data modeling and dimensional design.</li><li>
Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.</li><li>
Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.</li><li>
Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.</li><li>
Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).</li><li>
Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.</li><li>
Familiarity with BigQuery and the Google Cloud Platform is a plus.</li><li>
Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.</li></ul>
Qualifications<ul><li>
Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</li><li>
4+ years of experience working in data science, machine learning, and Gen AI.</li><li>
Experience doing data science in an online consumer product setting is a plus.</li><li>
A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.</li><li>
An excellent collaborator.</li><li>
An excellent communicator.</li><li>
A strong sense of ownership and accountability.</li><li>
A &lsquo;keep it simple&rsquo; approach to #makeithappen.</li></ul></div>

Sr. Data Scientist, Algorithms

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 
 Job Description
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many of our initiatives will focus on leveraging Generative AI for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest, most appropriate algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning and generative AI systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of working, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Requirements
 
 
 
 
 
 Technical Experience
 
 
 
 
 <ul>
 <li>
 Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis, including descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).
 </li>
 <li>
 Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow) is a plus.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 4+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator.
 </li>
 <li>
 An excellent communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
</div>

Binance

<div><div>Binance is a leading global blockchain ecosystem behind the world&rsquo;s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 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.</div><div></div><div> 
We are looking for a Data Scientist expert to drive advancements in natural language processing and computer vision. You&rsquo;ll work across content understanding scenarios such as classification, entity recognition, sentiment analysis, and image/video understanding, and help build large-scale systems that power content moderation, recommendation, and search.</div> 
<div></div>
<h3 class="jobSectionHeader">
Responsibilites</h3><ul><li>
Develop and optimize NLP/CV algorithms to improve the performance and efficiency of content understanding pipelines.</li><li>
Build scalable models (e.g., BERT, GPT, ViT, CLIP) and bring them into production.</li><li>
Partner with product and data teams to diagnose business challenges and design data-driven solutions.</li><li>
Track cutting-edge research and explore novel algorithms for real-world applications in content understanding.</li><li>
Drive system improvements that enhance moderation, recommendation and search workflow</li></ul><h3 class="jobSectionHeader">
Requirements</h3><ul><li>
Master&rsquo;s Degree or above in Computer Science, AI, EE, Mathematics, or related fields.</li><li>
Strong programming skills in Python or C++ and familiarity with deep learning frameworks such as PyTorch.</li><li>
Solid foundation in machine learning/deep learning and hands-on experience with common models in NLP and/or CV.</li><li>
Experience working with large-scale data processing frameworks (Hadoop/Spark/Flink is a plus).</li><li>
2+ years of algorithm/model development experience.</li><li>
Background in content safety, recommendation or search systems is highly valued.</li></ul><div>
Why Binance</div><ul><li>Shape the future with the world&rsquo;s leading blockchain ecosystem</li><li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li><li>Tackle unique, fast-paced projects with autonomy in an innovative environment</li><li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li><li>Competitive salary and company benefits</li><li>Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)</li></ul><div></div><div> 
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.</div><div>
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.</div>

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Senior Data Scientist (Content Understanding, NLP)

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Sr. Data Scientist, Algorithms

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Senior Data Scientist (Content Understanding, NLP)