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data & analytics specialist

senior data scientist

Fathom

<div>About the job
We are a pioneering AI company, marking our footprint on the global stage with a presence in Saudi Arabia, Poland, and Norway. As a pre-Series A startup, we are proudly backed by one of the world's leading corporations, underscoring our potential and the innovative spirit driving our mission. Our platform is engineered to address complex business challenges through cutting-edge AI solutions, with a particular emphasis on computer vision technologies. Our ambition is to launch a product that will revolutionize the industry by leveraging advanced computer vision capabilities.
We are seeking talented Senior Data Scientists to work with a client, one of the most recognized enterprise companies in the Oil &amp; Gas sector.
What you&rsquo;ll be doing<ul><li>
Lead the development and implementation of cutting-edge computer vision models and algorithms to solve complex problems, including but not limited to object detection, image recognition, and predictive maintenance for equipment.</li><li>
Collaborate closely with our product, marketing, and technical teams to integrate computer vision solutions that significantly enhance our AI/DataOps platform's value proposition to businesses.</li><li>
Drive data science projects from conception to delivery, focusing on computer vision applications, ensuring adherence to deadlines, data quality, and model effectiveness.</li><li>
Conduct in-depth research on the latest computer vision techniques and innovations to ensure our solutions remain at the forefront of AI technology.</li><li>
Translate complex computer vision findings into actionable insights, making them accessible to both technical and non-technical audiences.</li><li>
Optimize computer vision models for scalability and efficiency, ensuring they align with business goals and customer needs.</li></ul>
What We Offer:<ul><li>
Competitive salary and benefits package.</li><li>
A dynamic and challenging work environment.</li><li>
Opportunities for professional growth and development.</li></ul>
What you'll need<ul><li>
Proven experience as a Data Scientist with a strong focus on computer vision, demonstrated by a portfolio showcasing innovative computer vision projects in the tech industry, especially in AI/DataOps.</li><li>
Exceptional analytical and technical skills, with the ability to develop and implement advanced computer vision algorithms and models.</li><li>
Deep understanding of AI and DataOps concepts, trends, and technologies, with specialized expertise in computer vision.</li><li>
Experience working independently and delivering computer vision projects from scratch, demonstrating project management skills and the ability to meet tight deadlines.</li><li>
Adept at conducting comprehensive research to produce innovative and effective computer vision solutions.</li></ul>
Nice to have<ul><li>
Outstanding communication and interpersonal skills.</li><li>
Knowledge of applicable laws, codes, and regulations.</li></ul>
We're excited about the future and look forward to potentially having you on our team. Apply today to join our journey of growth and innovation!</div>

Senior Data Scientist

Fathom.io

<div>
 
 About The Job
 
 
 
 We are a pioneering AI company, marking our footprint on the global stage with a presence in Saudi Arabia, Poland, and Norway. As a pre-Series A startup, we are proudly backed by one of the world's leading corporations, underscoring our potential and the innovative spirit driving our mission. Our platform is engineered to address complex business challenges through cutting-edge AI solutions, with a particular emphasis on computer vision technologies. Our ambition is to launch a product that will revolutionize the industry by leveraging advanced computer vision capabilities.
 
 
 We are seeking talented Senior Data Scientists to work with a client, one of the most recognized enterprise companies in the Oil &amp; Gas sector.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Lead the development and implementation of cutting-edge computer vision models and algorithms to solve complex problems, including but not limited to object detection, image recognition, and predictive maintenance for equipment.
 </li>
 <li>
 Collaborate closely with our product, marketing, and technical teams to integrate computer vision solutions that significantly enhance our AI/DataOps platform's value proposition to businesses.
 </li>
 <li>
 Drive data science projects from conception to delivery, focusing on computer vision applications, ensuring adherence to deadlines, data quality, and model effectiveness.
 </li>
 <li>
 Conduct in-depth research on the latest computer vision techniques and innovations to ensure our solutions remain at the forefront of AI technology.
 </li>
 <li>
 Translate complex computer vision findings into actionable insights, making them accessible to both technical and non-technical audiences.
 </li>
 <li>
 Optimize computer vision models for scalability and efficiency, ensuring they align with business goals and customer needs.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 A dynamic and challenging work environment.
 </li>
 <li>
 Opportunities for professional growth and development.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 Proven experience as a Data Scientist with a strong focus on computer vision, demonstrated by a portfolio showcasing innovative computer vision projects in the tech industry, especially in AI/DataOps.
 </li>
 <li>
 Exceptional analytical and technical skills, with the ability to develop and implement advanced computer vision algorithms and models.
 </li>
 <li>
 Deep understanding of AI and DataOps concepts, trends, and technologies, with specialized expertise in computer vision.
 </li>
 <li>
 Experience working independently and delivering computer vision projects from scratch, demonstrating project management skills and the ability to meet tight deadlines.
 </li>
 <li>
 Adept at conducting comprehensive research to produce innovative and effective computer vision solutions.
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Outstanding communication and interpersonal skills.
 </li>
 <li>
 Knowledge of applicable laws, codes, and regulations.
 
 
 </li>
 </ul>
 We're excited about the future and look forward to potentially having you on our team. Apply today to join our journey of growth and innovation!
</div>

Salla

<div>
 We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing
 </li>
 <li>
 Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices
 </li>
 <li>
 Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources
 </li>
 <li>
 Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling
 </li>
 <li>
 Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs
 </li>
 <li>
 Design new service offerings and solutions in E-Commerce and different fields
 </li>
 <li>
 Keep up to date with latest trends and technologies in the data science and ML fields
 </li>
 <li>
 Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues
 </li>
 <li>
 Work closely with Business Analysts and product development teams to understand and implement their requirements
 </li>
 <li>
 Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions
 </li>
 <li>
 Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred
 </li>
 <li>
 At least 4 - 5 years' of experience as a data scientist (quantitative analytics and data modeling)
 </li>
 <li>
 Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
 </li>
 <li>
 Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred)
 </li>
 <li>
 Strong knowledge and hands-on experience with large language models (LLMs), including model selection, fine-tuning, deployment, and prompt engineering for real-world applications
 </li>
 <li>
 Experience in Deep Learning algorithms and techniques
 </li>
 <li>
 Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred).-
 </li>
 <li>
 Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn)
 </li>
 <li>
 Excellent in Algorithms and Object-Oriented programming
 </li>
 <li>
 Familiarity with database technology (design and implementation) and query language
 </li>
 <li>
 Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred
 </li>
 <li>
 Strong organizational and project management skills
 </li>
 <li>
 Good problem-solving skills
 </li>
 <li>
 Excellent communication and presentation skills
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical Health Insurance
 </li>
 <li>
 Performance Bonus
 </li>
 <li>
 Others
 </li>
 </ul>
</div>

SALLA

<div>We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.<h3 class="jobSectionHeader"> 
Responsibilities</h3><ul>
<li>Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing.</li>
<li>Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices.</li>
<li>Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources.</li>
<li>Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling.</li>
<li>Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs.</li>
<li>Design new service offerings and solutions in E-Commerce and different fields.</li>
<li>Keep up to date with latest trends and technologies in the data science and ML fields.</li>
<li>Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues.</li>
<li>Work closely with Business Analysts and product development teams to understand and implement their requirements.</li>
<li>Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions.</li>
<li>Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions.</li>
</ul>Requirements<ul>
<li>Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred.</li>
<li>At least 4 - 5 years' of experience as a data scientist (quantitative analytics and data modeling).</li>
<li>Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms.</li>
<li>Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred).</li>
<li>Strong knowledge and hands-on experience with large language models (LLMs), including model selection, fine-tuning, deployment, and prompt engineering for real-world applications.</li>
<li>Experience in Deep Learning algorithms and techniques.</li>
<li>Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred).-</li>
<li>Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn).</li>
<li>Excellent in Algorithms and Object-Oriented programming.</li>
<li>Familiarity with database technology (design and implementation) and query language.</li>
<li>Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred.</li>
<li>Strong organizational and project management skills.</li>
<li>Good problem-solving skills.</li>
<li>Excellent communication and presentation skills</li>
</ul>Benefits<ul>
<li>Medical Health Insurance</li>
<li>Performance Bonus</li>
<li>Others</li></ul></div>

Mozn

<div>
 
 About Mozn
 
 
 
 Mozn is a rapidly growing and leading data science &amp; product development firm based in Riyadh with a proven track record of excellence in supporting and growing the analytics ecosystem in Saudi Arabia. Mozn is a trusted analytics partner for the largest government organizations in Saudi Arabia, as well as many large corporations and startups. We are in a critical stage of scaling the company to build institutional analytics knowledge within Mozn and Saudi Arabia. It is an exciting time to work in Saudi Arabia; through Vision 2030, the rate of social and industrial change is staggering.
 
 
 
 About The Role
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn&rsquo;s Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
 </li>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients.
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn&rsquo;s solutions.
 </li>
 <li>
 Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn&rsquo;s efficiency and productivity.
 </li>
 <li>
 Coordinate with internal teams to set up and execute solution development strategies.
 </li>
 <li>
 Overseeing a large technical area of work, defining project priorities, and technical solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics, or similar quantitative fields.
 </li>
 <li>
 Relevant experience as a data scientist, or in similar fields that require developing ML/AI models. Over 3 years for B.S. degree and over 2 years for M.S.
 </li>
 <li>
 Programming experience over two years in software development, including object-oriented programming, and data manipulation using Python or other languages.
 </li>
 <li>
 Good understanding of statistics and probability, such as Hidden Markov Models, Probabilistic Graphical models, or Bayesian inference.
 </li>
 <li>
 Applied experience in machine learning, such as diagnosing models and modifying loss functions.
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch.
 </li>
 <li>
 Expertise in Natural Language Understanding and/or Probabilistic Machine Learning applications.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Why Mozn?
 
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

Senior Data Scientist - Riyadh

Agoda

<div>
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose -
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 
 Please note -The role will be based in Bangkok.
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
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 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Senior Data Scientist (Bangkok based, relocation provided)

<div>We're building the future of commerce AI in the Middle East, powering millions of merchants with intelligent assistants and Gen AI that understands Arabic and English fluently. As our Senior/Staff Data Scientist for GenAI, you'll architect the brain behind our merchant and customer AI assistants, content generation suite, and conversational commerce platform.
This isn't just another chatbot role, you'll design cutting-edge agentic AI systems that can reason about inventory, write compelling Arabic marketing copy, troubleshoot merchant issues, and generate insights from millions of transactions. Your work will directly impact how merchants across the region run their businesses.
Responsibilities<ul>
<li>
Architect and implement LLM-based agentic systems including the customer support troubleshooting, analytics, and content-generation tools. 
</li><li>Build RAG pipelines combining structured and unstructured sources (knowledge base, FAQs, policies), optimizing for latency, factuality, and grounding. 
</li>Develop evaluation frameworks (LLM-as-a-judge, human-in-the-loop) to measure helpfulness, factual accuracy, coverage, and coherence. 
<li>
</li><li>Collaborate with product and UX teams to define prompt hierarchies, tool-calling logic, and conversational workflows that handle multi-turn reasoning. 
</li><li>Drive fine-tuning or parameter-efficient adaptation (LoRA, PEFT) of LLMs for commerce-specific reasoning and multilingual support (Arabic &amp; English). 
</li><li>Contribute to the GenAI Suite: product description generation, email and blog content creation, landing page design, and brand-aware tone control. 
</li><li>Lead experimentation on new LLM orchestration frameworks (LangGraph, semantic routers) and scalable deployment using Bedrock, SageMaker, or Vertex AI. 
</li><li>Mentor junior data scientists and define best practices for versioning, prompt evaluation, and observability (e.g., LangFuse, MLflow, Grafana).</li>
</ul><ul><li>
Nice to have: Fluency in Arabic, prior work on multilingual NLP, or marketplace / SaaS platform experience.</li></ul>
Requirements<h3 class="jobSectionHeader">
Requirements</h3><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a quantitative discipline. 
</li><li>5+ years of experience in applied ML/NLP, including 2+ years building and deploying LLM-based systems in production. 
</li><li>Proven impact: Delivered or scaled LLM products serving 100K+ users or handling 1M+ queries per day. 
</li><li>Technical depth: Solid understanding of transformer architectures, RAG design and optimization, prompt engineering, and LLM evaluation techniques. 
</li><li>Systems thinking: Experience with distributed systems, async workflows, vector search, and caching strategies for latency-sensitive workloads. 
</li><li>Commerce awareness: Familiarity with e-commerce metrics, merchant pain points, and marketplace platform dynamics. 
</li><li>Communication: Comfortable translating complex ML systems into actionable insights for non-technical and leadership stakeholders.</li></ul></div>

Senior / Staff Data Scientist - Generative AI

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Senior / Staff Data Scientist - Generative AI