451 to 475 of 2,953 Computer Science Jobs

with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML.Required Qualifications, Capabilities, and Skills:MSc or PhD in Computer Science, Data Science, Machine Learning, or related field.Proven experience building and deploying AI applications in large-scale production environments.Experience with MLOps practices … techniques.Experience working with large, complex datasets and applying statistical analysis.Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).Experience managing data science teams and coaching team members.Problem-solving skills and ability to work independently and as a leader within cross-functional teams.Strong communication skills for both ...

other related functions is essential.The individual acts as a trusted analytics advisor to EMEA business leaders, translating advanced analytics, statistical modeling, and data science outputs into clear, actionable insights that directly support business decisions within an Asset Management context. Success in the role depends on the ability to connect … execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results.Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated ...

measure the impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science.Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based … inference where controlled experimentation is impractical.Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate actionable business insights.Apply advanced data science and machine learning techniques where appropriate to complement experimentation and support complex business decisions.Contribute to the development and adoption of best practices for experiment ...

cooperation of peer groups involved in common business goals.Ability to meet changing demands and adapt to frequently changing priorities.Qualifications:Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or similar.3+ years of experience in Python Development (or MS in above subjects + 0-2 years experience ...

translating technical concepts for non-technical audiencesExperience applying new methods to determine solutions for complex technology problems across multiple technical disciplinesMaster's degree in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent applied experience)Preferred qualifications, capabilities, and skillsIndustry-recognised cloud/GenAI ...

tests and performance evaluations.Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices.Required Qualifications, Capabilities, and Skills:Advanced degree in Computer Science, Data Science, Machine Learning, or related field.Experience building and deploying agentic AI applications in production environments.Expertise with ML frameworks such ...

improve underwriting at Coalition. Intellectual curiosity and proactive approach to identifying improvement opportunitiesSkills and QualificationsBachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline)5+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industryKnowledge ...

Communicate results and insights to both technical and non-technical audiences, including through presentations, written reports, and data visualizations.About the teamThe Alexa for Shopping Science team, based in London, works alongside ~150 engineers, designers and product managers, shaping the future of AI-driven shopping experiences at Amazon. The team … Mining. We validate our work by actively participating in the internal and external scientific communities.Basic qualifications- Master's degree or above in Math, Statistics, Computer Science, or related science field- Experience in a ML or data scientist role with a large technology company- Experience with machine learning ...

data-driven decision-making; and performance evaluations.Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices.Required qualificationsMSc/PhD in Computer Science, Data Science, Machine Learning, or related field.Significant proven experience building and deploying AI applications in large scale production environments.Experience managing data … science teams and couching team membersProficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn).Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph, ADK).Experience with generative models (transformers, GANs/VAEs; diffusion models a plus).Strong understanding of data preprocessing, feature engineering, and evaluation techniques.Familiarity with ...

that model decisions are delivered to personalize experiences for millions of end usersDrive customer success by providing ongoing technical guidance that ensures data science performance, successful adoption and measurable outcomesExtend product capabilities by developing features and tools that support the broader AI deployment team and scale what's possible … what a day in the life of a Forward-Deployed Data Scientist at Braze looks like here.WHO YOU AREEducation: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferredExperience: 3–5+ years ...

that model decisions are delivered to personalize experiences for millions of end users Drive customer success by providing ongoing technical guidance that ensures data science performance, successful adoption and measurable outcomes Extend product capabilities by developing features and tools that support the broader AI deployment team and scale what … life of a Forward-Deployed Data Scientist at Braze looks like here. WHO YOU ARE Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred Experience: 3–5+ years of hands ...

Professional Services team to develop customer-facing AI collateralAbility to travel up to 25% of the timeWhat You'll Need:Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or related discipline, and 8 years of experience performing IT deployments or in an end user/… cybersecurity applicationsStrong understanding of software deployment technologiesVery knowledgeable on Windows, Mac, and Linux platformsExperience with AI-powered security tools and platformsKnowledge of data science principles and their application to security operationsExperience with security automation and orchestration platformsVery knowledgeable on Windows, Mac, and Linux platformsStrong knowledge of Microsoft Office applicationsSkillful ...

solving skills, with the ability to explain complex data flows and operational issues clearly to technical and non-technical stakeholders.Background in Finance, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline.Final-stage candidates are required to attend at least one in-person interview, ordinarily ...

business adoption of analytical solutions.The role identifies and prioritizes opportunities where advanced analytics and AI can drive business value and partners with Data Science & AI Delivery leadership to ensure successful execution.The role’s purpose is to ensure the business gets the right solutions for the right needs, whether that …/reporting analysts, and data analysts) to deliver insights and analytics to AXIS in support of the business’ goals. Strategically lead the Data Science & AI Delivery team to leverage with Data Science & AI Delivery leadership to leverage specialized AI and data science capability. Cultivate a culture ...

tests and evaluation criteria (accuracy, latency, cost, and user impact) to support decisions on what to scale.What You Need to Have:A degree in Computer Science, Data Science, Mathematics, or a related discipline (or equivalent practical experience), plus evidence you can deliver in real-world settings (e.g. ...

stakeholders and translating technical concepts for non-technical audiencesExperience applying new methods to determine solutions for complex technology problems across multiple technical disciplinesMSc in Computer Science, Data Science, Engineering, or a related quantitative fieldPreferred qualifications, capabilities, and skillsPostgraduate-level qualification in data science, artificial intelligence ...

external stakeholders on data methodology, process changes, and query resolution Your skills and experience that will help you excel: Education Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a quantitative field. Degrees in Finance, Environmental Science, or Sustainability considered with strong technical experience. ...

with evolving regulatory expectations and industry best practices. Who you are Advanced degree (Master’s or PhD) in a quantitative field such as data science, statistics, mathematics, computer science, physics, or engineering; or equivalent experience. 3+ years of hands-on experience in credit risk and/… understanding of credit risk and/or IFRS9/CECL provisioning models. Hands-on experience with programming languages and tools commonly used in data science, such as Python, SQL, Spark, and AWS. Excellent analytical, problem-solving, and decision-making abilities. A passion for innovation and staying at the forefront ...

Data Practice, a multi-disciplinary team delivering enterprise-scale data platforms, analytics and data-led transformation for clients. As part of the growing Data Science capability within the Data Practice, you will work on Machine Learning, Predictive Analytics and Applied AI use cases that help clients move beyond traditional … data quality, bias, privacy and responsible AI implications where relevant. What experience you'll bring: Required: · 3-5 years of commercial experience in Data Science, Machine Learning or Advanced Analytics roles. · Strong hands-on Python experience for data analysis, feature engineering and model development. · Strong SQL skills and experience ...

Bash. Education, Training & Experience:3+ years of relevant experience within an investment bank, asset manager, hedge fund, or related software provider. Degree in Computer Science, Data Science, Finance, or a related field. ...

initiative, and commitment to customer experience excellence. Experience in healthcare, pharma, or medical devices is a plus. Education and ExperienceBachelor’s Degree in Engineering, Computer Science, Data Science, or equivalent experience. 5+ years of experience in Data Engineering, Analytics Engineering, or related fields. Hands-on experience with ...

speaking engagements, and thought leadershipEstablish best practices, technical standards, and evaluation frameworks for the teamWhat You’ll Need:Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field8+ years of applied machine learning/research experience, with demonstrated leadership in developing production-grade ...

with the Azure ecosystem.Working understanding of Unity Catalog.About youAround 6 or more years of relevant experience.A degree in a quantitatively rigorous field such as computer science, data science, econometrics, mathematics, or physics.Driven and curious. You want to work on things that have not been figured out yet.Strong ...

architecture and tooling, while managing vendors and strategic technology partnershipsThe essential requirements of the job include: Bachelor’s degree in Business, Supply Chain, Engineering, Computer Science, Data Science, or a related field12+ years of leadership experience in AI, RPA, and digital transformationProven experience delivering AI or advanced … execution and thrives in fast-paced, evolving environmentsJoin our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science ...

clear path to production, ensuringsolutions are scalable, supportable, and can be transitioned effectively to production engineering teams Skill Requirements Bachelor's degree in Computer Science, Engineering, Data Science, or related field Total 15+ year of Experience in Client Facing - AI Implementation Cloud platforms Application interfacesas Solution Architect. … technical stakeholders Ability to execute against defined requirements and evolving priorities Other Requirements Master's degree in a technical discipline (AI/ML, Data Science, Software Engineering) Healthcare Domain Expertise; Understanding of healthcare payer and/or provider operations (e.g., claims,utilization management, care delivery, revenue cycle) Familiarity with ...