DVA is not associated with this job post. Staff Data Scientist https://lnkd.in/gfq4i-6Q UK - Remote What you’ll be doing : Devise testing plan to better understand key product metrics and inform product strategy Act as a strategic partner to functional teams: initiate and execute deep analyses and models to help prioritize opportunities and provide actionable recommendations. Build new analytics and machine learning models that improve both our insights and the product directly Measure business performance, develop / refine core metrics and create reporting to understand and monitor them Synthesize data learnings into compelling stories and communicate them throughout Coinbase and to senior executives Initiate, develop and maintain data pipelines and data models with outstanding craftsmanship... #recruiting #nowhiring #hiring #jobs #jobsearch #job #recruitment #careers #recruiting #hiringnow #employment #career #jobseekers #jobopening #work #jobhunt #resume #jobopportunity #applynow #jobsearching #jobseeker #hr #staffing #jobshiring #cfbr #jobinterview #vacancy #recruiter #jobalert #business #joinourteam
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DVA is not associated with this job opportunity. Data Scientist https://lnkd.in/djGxwnnH Brazil - Remote What you’ll be doing : Devise testing plan to better understand key product metrics and inform product strategy. Act as a strategic partner to functional teams: initiate and execute deep analyses and models to help prioritize opportunities and provide actionable recommendations. Build new analytics and machine learning models that improve both our insights and the product directly. Measure business performance, develop / refine core metrics and create reporting to understand and monitor them. Synthesize data learnings into compelling stories and communicate them throughout Coinbase and to senior executives. Initiate, develop,and maintain data pipelines and data models with outstanding craftsmanship... #career #job #jobs #jobsearch #education #business #success #hiring #careergoals #work #motivation #recruitment #love #employment #careers #careerdevelopment #resume #college #goals #job #training #careeradvice #interview #nowhiring #careercoach #entrepreneur #leadership #jobseekers #virtualassistant
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DVA is not associated with this job post. Data Scientist, Payment Platform - USA https://lnkd.in/gp_MEnnr You Will Partner with Square’s product, engineering and operations teams to make data-driven decisions using a diverse set of tactics, including statistics, quantitative reasoning, and experimental design. Proactively identify gaps and opportunities in our processes. Design, run, and analyze experiments with the goal of optimizing the speed, cost, and acceptance of payments for our sellers. Independently research questions related to our core payments data and produce actionable insights for stakeholders. Build ETL pipelines, dashboards and machine learning models that enable monitoring of the health and performance of our core business... #jobs #job #jobsearch #hiring #recruitment #career #work #employment #careers #nowhiring #jobseekers #recruiting #business #jobsearching #jobseeker #jobvacancy #jobopportunity #jobhunt #resume #jobopening #hr #jobinterview #hiringnow #vacancy #jobshiring #motivation #education #staffing #interview
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Hey, 5 months into Fourthline, we have a brand new data strategy and the data team is busy building robust data ingesting pipelines, new data transformation pipelines & data science products. We're missing 2 senior data analysts in the data team and so I'm hiring 😁 https://lnkd.in/ep8uV-5c The vision for data analytics is to 1. translate data -> insights -> decisions taken -> $$$ 2. enable self-service analytics across the business 3. to do the above, also own the data transformation data pipelines Apply if the vision resonates, you live in the Netherlands, you want to do impactful work for a promising scale-up with good work-life balance, you're quick at analytics & you value fun colleagues. What does FL do? Fourthline's mission is to fight financial crime as the new standard in identity verification having verified millions of identities for banks and leading fintech companies gracefully balancing conversion and compliance. We do that by employing our propriety computer vision AI models and fraud ML models. P.S. No, this is not an invitation for recruitment agencies to message me #hiring #seniordataanalyst #dataanalyst #datastrategy #identityverification #fintech #Netherlands
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New Job Alert: Data Scientist, Risk & Fraud at Whatnot Location: Fully Remote Description: - Create rules and systems to enhance the full lifecycle of risk and fraud measurement - Define and own the experimentation playbook for Fraud at Whatnot - Build actionable KPIs, create production-quality dashboards and notebooks to convey insights - Analyze the effectiveness of existing methods and partner with Machine Learning and Trust & Safety teams to develop better anti-fraud practices - Inform the engineering, operations, and machine learning roadmaps through analysis of marketplace, user behavior, and product trends See More: https://lnkd.in/g3xcqu-g #remote #remoteresolve #hiring #jobs #work #DataAnalytics #DataScience #FraudDetection
Data Scientist, Risk & Fraud
remoteresolve.io
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🎺HIRING ALERT🎺 Do you love the idea of helping to power the transition to greener business models? Are you excited about helping these greener businesses get access to capital? Do you want to build some exciting ML/AI tools that will change the way we think about financing? Then you are our next Data Scientist! Check out the role description in the comments. Remote within the UK! #newjob #climatetech #fintech #datascience
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>>> Turning a Hiring Roadblock into Growth One of our clients, a blockchain analytics company, was ready to scale but had been stuck trying to hire a data scientist for months. They needed someone who not only understood blockchain but could also manage complex datasets, build predictive models, and communicate insights to non-technical stakeholders. To make it even harder, they wanted a candidate who could thrive in a startup environment—adaptable, self-driven, and collaborative. After reviewing their hiring process, we realized the issue wasn’t the talent pool—it was how the role was framed. The job description was too broad, asking for skills that would typically require multiple roles to cover. We worked with the client to break the position into realistic expectations and crafted a targeted strategy. Then, we tapped into our specialized Web3 talent network and outreach efforts to identify candidates who had both the technical expertise and the cultural fit they were looking for. In just three weeks, we found the perfect hire. This data scientist not only brought exceptional technical skills but also had hands-on experience in decentralized ecosystems and the ability to communicate data stories effectively. Today, that hire is a core part of their team, driving new insights that have helped the company launch innovative features and attract enterprise clients. Sometimes, a fresh perspective on hiring can unlock the growth you’ve been waiting for. If you’re stuck, let’s connect. #Web3 #HR #Blockchain #Hiring #Founder #Startup
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🌟 The Intersection of Data and Code: Unlocking Business Insights and Building the Future 🌐 In today’s fast-paced digital landscape, Data Analysts and Software Engineers are at the forefront of transformation. 📊💻 As a Data Analyst, my mission is to uncover actionable insights that drive decisions. Data is the voice of the business, and I love connecting the dots to reveal the bigger picture. 🧠✨ As a Software Engineer, I believe in creating robust, scalable solutions that not only solve problems but also shape the way we interact with technology. 🚀 🔑 The Magic Happens at the Intersection: Data Analysts ask the right questions to guide engineering efforts. Software Engineers build the tools to answer those questions at scale. Together, we bridge the gap between raw information and impactful innovation. 💡 What excites you most about the synergy between data and software? Let’s connect and discuss how we’re shaping the future, one line of code and one data point at a time! #DataAnalytics #SoftwareEngineering #TechInnovation #ProblemSolvers #FutureIsNow #hiring #DA #SE #Job #Placement Vision Xperts Inc
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DVA is not associated with this job opportunity. Senior Search Relevance Engineer https://lnkd.in/gY-67ghG Americas - Remote Key outputs Working with data scientists and engineers to productionize cutting-edge data products via load testing, metrics analysis, and offline and online experimentation, so they can scale to support millions of buyers around the world. Designing and implementing features to improve the relevance of search and recommendation experiences, including semantic search, query understanding, and personalization. Building and maintaining data pipelines to power our information retrieval systems. Tuning the ElasticSearch queries that power our search and discovery experiences. Prioritizing and communicating to technical and non-technical audiences alike Mentoring engineers and data scientists... #career #job #jobs #jobsearch #education #business #success #hiring #careergoals #work #motivation #recruitment #love #employment #careers #careerdevelopment #resume #college #goals #job #training #careeradvice #interview #nowhiring #careercoach #entrepreneur #leadership #jobseekers #virtualassistant
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With so many new roles posted on Remote Talent, I'll be sharing a job roundup every day this week. ✨ Todays role: Data ✨ (by popular demand) 1. Senior Data Engineer - Remote - Fully remote 2. Principal Data Eng Lead - Axon - Remote in the United States 3. SWE - Data & Analytics - Twilio - Remote in the United States 4. Data Scientist, Enterprise - Grammarly - Remote in the United States and Canada 5. Data Analyst - Misfits Market - Fully remote 6. Senior Data Analyst - Grafana Labs - Remote in Spain Tag someone who is looking for their next opportunity, or apply directly via the link in comments 👇👇 What kinds of jobs do you want to see tomorrow? #remotejobs #jobalert #data #openroles #wfhjobs
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#Hiringalert Jar is hiring for Data Scientist Skills Required: Credit Risk Prediction and Risk Modeling: Highlight your experience in developing and implementing credit risk prediction models. Discuss specific projects where you applied risk modeling techniques. Mention any innovative solutions or methodologies you used to enhance risk prediction accuracy. Machine Learning: Detail your experience with machine learning, especially in the context of lending solutions. Share insights into the types of ML models you have developed and their real-world applications. Discuss any cutting-edge experiments or projects you have worked on involving ML. Data Science Experience (3+ years): Highlight your overall experience in data science, focusing on your contributions and achievements. Discuss your proficiency in handling large and unique datasets. Mention any notable projects or roles that demonstrate your expertise. Python or R: Emphasize your proficiency in Python or R, particularly for data analysis and machine learning. Share examples of how you have used these programming languages to develop ML models or conduct data analysis. Discuss any specific libraries or frameworks you have utilized. Blog Ideas: Enhancing Credit Risk Prediction with Advanced Modeling Techniques: Share your journey and experience in credit risk prediction. Discuss specific models and techniques you have used to improve prediction accuracy. Applying Machine Learning to Lending Solutions: Highlight the role of machine learning in the lending industry. Provide insights into real-world projects where you developed ML models for lending solutions. Leveraging Python/R for Data Science in Lending: Discuss your experience using Python or R for data science tasks. Share examples of how these tools have helped you in developing effective lending solutions. Example Blog Titles: “Revolutionizing Credit Risk Prediction with Machine Learning” “Developing Robust Lending Models with Python” “My Journey in Data Science: From Datasets to Lending Solutions” By writing blogs on these topics, you can effectively showcase your skills and experience, making you a strong candidate for the Data Scientist role at Jar. Share your skills on Eyse for faster discovery by recruiters- https://lnkd.in/dQsUYc59 #DataScientist
🚀 Exciting Opportunity: Join Jar as a Senior Data Scientist for Our Lending Team! 📊 Are you experienced in Credit Risk Prediction or Risk Modeling? If so, this role could be perfect for you! We’re looking for forward-thinking individuals to: ▪ Uncover insights from unique datasets. ▪ Develop machine learning models tailored for lending solutions. ▪ Work on cutting-edge real-time experiments. If you have 3+ years of experience in Data Science, a strong background in ML, expertise in lending, and proficiency in Python or R, we’d love to hear from you. Apply now to be part of our innovative team! Visit our career page to apply: https://lnkd.in/gpFqDiu7 #DataScience #MachineLearning #TechJobs #Hiring #Lending Benoy Samuel Mathews Sushant Arya Nistha Barthakur Priyanka M. Gracy Thakral Reet Kshatriya Rahul Kiran Bahul Arora Misbah Ashraf Nishchay Ag Kaushal Singh Wajoud Noorani Apurva Bhatt Amrendra Rajan
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