Top Data & Analytics Jobs
As a Principal Data Scientist at Capital One, you will partner with a cross-functional team to deliver customer-centric products, leverage various technologies to uncover insights from data, build machine learning models, and translate complex work into tangible business goals.
As a Principal Data Scientist at Capital One's US Card Data Science team, you will partner with a cross-functional team to deliver data-driven solutions in the credit card industry. Responsibilities include building machine learning models, leveraging technologies like Python and AWS, and translating complex data insights into business goals. The ideal candidate is customer-focused, innovative, creative, technically skilled, statistically-minded, and proficient in handling big data.
Collaborate with Agile teams to design, develop, and support technical solutions using full-stack development tools and technologies. Utilize programming languages and cloud-based data warehousing services to drive a major transformation within Capital One.
Security Research Analyst role at Cloudflare's Threat Intelligence team, involving reviewing, maintaining, and analyzing threat data feeds, collaborating with data scientists to identify security threats, and creating machine learning models for security products.
The Security Research Analyst - Threat Intelligence will be responsible for supporting the Threat Intelligence team's day-to-day operations, reviewing domain miscategorizations, maintaining application classifications, submitting IOCs to data pipeline, defining automations and software requirements, evaluating threat data feeds, working with data scientists to identify security threats, and becoming a subject matter expert for internal teams.
The Security Research Analyst - Threat Intelligence at Cloudflare is responsible for reviewing domain and email miscategorizations, submitting IOCs to data pipeline, defining automations and software requirements, evaluating threat data feeds, researching network behavior patterns, working with data scientists on security threats, and more. This is an entry-level role within the Threat Intelligence team focusing on day-to-day operations.
Atlassians have flexibility in where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is ...
Featured Jobs
The Staff Machine Learning Engineer role at Cruise involves driving applied ML research and development for challenges related to Perception and Object Tracking on urban roads. Responsibilities include exploring new algorithms, optimizing on-road performance, guiding technology choices, and enabling team effectiveness through design and code.
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Seeking a highly skilled Senior Data Analyst with expertise in revenue reporting, SQL, and complex data models. Responsible for analyzing revenue data, identifying trends, and providing insights to drive strategic decision-making. Collaborate with cross-functional teams to optimize revenue performance.
Join as a Solutions Analyst III in Corporate Technology, bridging the gap between product owners, business, and developers. Elicit requirements, translate into solutions, and contribute to architecture designs and data insights. Facilitate business process mapping, contribute to program roadmaps, and ensure quality solutions meet requirements. Requires 3+ years in solutions analysis or related field, expertise in process modeling and documentation, strong analytical skills, and excellent communication abilities.
Senior Director of Software Engineering at JPMorgan Chase within the Corporate & Investment Bank Technology team, leading multiple technical areas and driving adoption of technical methods within various teams.
The Business Analytics Senior Data Scientist will manage strategy and operational insights for a global services function within the Commercial & Investment Bank. Responsibilities include defining key metrics, managing analytics projects, partnering with senior leaders, and developing strategic initiatives. Required qualifications include 4+ years of experience in Analytics, Information Systems, or Management Consulting, strong quantitative skills, and hands-on experience with tools like SQL, Python, and Tableau.
Senior Data Engineer responsible for developing and implementing data pipelines, focusing on efficient ETL processes, creating scalable data tracking services, and exploring alternatives for streamlined data processing solutions. Hybrid work environment with on-call support and mentoring responsibilities for junior staff members.
The Principal Machine Learning Engineer will be responsible for implementing machine learning features in collaboration with the Data Science and Analytics team. They will ensure the scalability and reliability of production systems and have excellent communication skills to interact with other teams. The ideal candidate will have 10+ years of experience in machine learning and a strong understanding of algorithms, model architectures, and training techniques.
Conduct primary and secondary market research, analyze data, develop insights, and present findings to support business strategy in the automotive industry.
The Senior Director, Global Cx, Analytics and Insights at SharkNinja is responsible for analyzing customer data to derive insights that enhance customer satisfaction and loyalty. The role involves defining and tracking key performance indicators, leveraging data to reduce consumer effort, and leading a team to represent the voice of the consumer. Proficiency in Python, R, and Tableau is essential, along with strong communication and leadership skills. The role requires 7+ years of experience in analytics and insights in a global organization.
Conduct research and development for competitive products, partner with cross-functional teams for new product development, set performance KPIs, develop and copywrite recipes, cultivate expert feedback, monitor industry trends, and attend events.
Key member of Managed Services team, responsible for financial and operational analysis, reporting, and decision support. Must have 4-6 years of experience in software or SaaS operations environment.
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