Company DescriptionExperian is the world's leading global information services company. During life's big moments - from buying a home or a car, to sending a child to college, to growing a business by connecting with new customers - we empower consumers and our clients to manage their data with confidence. We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organizations to prevent identity fraud and crime.We have 20,000 people operating across 44 countries and every day we're investing in new technologies, talented people, and innovation to help all our clients maximize every opportunityWe are very proud that FORTUNE named us one of The 100 Best Companies to Work For. In addition, for the last five years we've been named in the 100 'World's Most Innovative Companies' by Forbes Magazine .Job DescriptionExperian NA Innovation Lab is a R&D unit at Experian formed with the desire to work in collaboration with Experian's business units to enhance relationships with clients and acquire strategic datasets. Experian is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals, markets and economies, we help organizations find, develop and manage customer relationships to make their businesses more profitable.What You'll Be DoingAs a Senior Data Scientist at the Experian Innovation Lab, your role will be to research and develop innovative analytical solutions, prototype new products, and evaluate data assets. You must bring a deep understanding and extensive experience in predictive modeling, machine learning, and deep learning to this position. Key job functions include:Craft advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.Streamline data manipulation and retrieval through the design of efficient data structures and storage solutions.Innovate with tools designed for optimal data processing and information retrieval.Dissect and document vast datasets, analyzing and processing them to highlight significant patterns and insights.Solve complex business challenges by applying, developing, and inventing impactful algorithms.Ensure model excellence by validating performance scores and analyzing ROI and benefits.Articulate model processes and outcomes, documenting and presenting findings and performance metrics clearly.As part of our commitment to innovation, you will also have the unique opportunity to engage with projects involving Generative AI and Large Language Models (LLM). This separate aspect of the role allows you to explore the forefront of AI technology, applying your Data Science skills to develop solutions that leverage the latest in AI research and applications. Whether you are already skilled in AI or eager to learn, this opportunity will enable you to expand your technical repertoire and contribute to cutting-edge projects that explore new horizons in the tech landscape.QualificationsBasic Qualifications:Advanced degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.3-7 years of working experience in AI, data science, and/or predictive modelingProficiency in multiple programming languages, including but not limited to Python, R, Java, C++, and C.Experience in deep learning (CNN, RNN, LSTM, attention models, etc.), machine learning methodologies (SVM, GLM, boosting, random forest, etc.), graph models, and/or, reinforcement learning.Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas, etc.Experience with large data analysis using Spark (pySpark preferred)Preferred Qualifications:Experience with LLMs and the relevant tools in the Generative AI domain.Experience in developing, modifying and experimenting advanced language modelsExperience in developing/applying/evaluating Generative AI based tools and technologyExperience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra, etc.Experience with modifying and applying advanced algorithms to address practical problemsAdditional InformationWhy choose us?Our colleagues' health and wellbeing are a top priority for us, that's why our reward, benefits and wellbeing programs are designed so you can come to work feeling your very best self. Our benefits focus on health, money, and lifestyle so you can tailor your benefits to your own personal needs. Whether it's your physical and mental wellness, getting to work or preparing for the next big milestone in your life, we have a range of flexible options to have you covered!To learn more about our culture and what it's really like to work here, check out our interactive guide here: https://view.pagetiger.com/experianguideforcandidates/1Could this be the role for you? Apply now to start your journey with Experian.To learn more about our culture and what it's really like to work here, check out our LinkedIn and social media channels using the hashtags #UniquelyExperianYoutube video link: https://www.youtube.com/watch?v=trvcHqr81TYExperian Careers - Creating a better tomorrow togetherFind out what its like to work for Experian by clicking herePerksFlexible work schedule and relaxed dress codeFully remote or in-office hybrid model, depending on locationCompetitively priced medical and dental plansWell-rounded employer-matched 401(k) planFree/discounted benefits and services, such as tax-free commuter passes and free credit monitoringA well-balanced work-life balance that includes generous sick and vacation timeExperian is an Equal Opportunity EmployerAnyone needing accommodation to complete the interview process should notify the talent acquisition partner#J-18808-Ljbffrby Jobble

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. The Vehicle Autonomy (Robotics) team at Anduril develops aerial and ground-based robotic systems. The team is responsible for taking products like Ghost, Anvil, and our Sentry Tower from paper sketches to operational systems. We work in close coordination with specialist teams like Perception, Autonomy, and Manufacturing to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful robotics stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications. As a Data Scientist at Anduril, you will dive into unique, complex challenges that come with the territory of high-stakes, advanced technology in the defense sector. Your expertise will drive innovation in autonomous systems, shaping the future of defense and intelligence with solutions that are deployed at unparalleled speed. If you're eager to leverage your data science skills in an environment that encourages bold ideas and offers the resources to turn them into reality, Anduril provides the perfect platform to propel your career and make a tangible difference in a world entering a new era of strategic competition. Join us and be part of the transformation that's setting new standards for military capabilities and security. WHAT YOU'LL DO <ul><li>Conduct in-depth data analysis using Python, MATLAB, and relevant tools to address complex problems, define key performance indicators for autonomous vehicle systems, and effectively communicate analytical insights to stakeholders.</li><li>Collaborate cross-functionally with engineering, product management, and fellow data scientists to apply advanced statistical techniques, informing strategic decisions and guiding the development of roadmaps for enhancing vehicle performance based on data-driven insights.</li><li>Develop, optimize, and oversee autonomous vehicle data infrastructure, including the creation and management of software tools, data catalogs, and robust data pipelines that facilitate efficient data extraction, transformation, and delivery of high-quality data products for internal use and stakeholder presentation.</li><li>Spearhead technical investigations to diagnose operational issues and analyze performance trends, providing leadership in the interpretation of data and formulation of solutions to improve system reliability and efficiency.</li><li>Design and implement analytics-driven customer-facing products that showcase system performance metrics, provide trend analysis, and enhance user understanding and experience with our autonomous vehicle platforms.</li></ul> CORE QUALIFICATIONS <ul><li>A background in Mathematics, Statistics, Computer Science, Data Science, or a related technical field with a strong quantitative foundation.</li><li>Demonstrated expertise in Python with a robust portfolio of projects showcasing the development, validation, and deployment of predictive models and data products. Proficiency with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn is essential.</li><li>Familiarity with Unix/Linux environments, including proficiency with the command line interface and the ability to efficiently manage and navigate distributed computing systems.</li><li>Exceptional data visualization skills, with proficiency in using visualization tools (e.g., Plotly, Matplotlib, Seaborn) and business intelligence platforms (e.g., Tableau, Power BI) to translate complex data insights into accessible visual formats for diverse audiences.</li><li>A proven track record of effectively working with large and complex datasets, as well as the capacity to quickly understand and work within established codebases and complex system architectures.</li><li>A strong commitment to applying data science to solve real-world problems, with the ability to translate technical findings into actionable recommendations that have a tangible impact.</li><li>Current US Person status (U.S. citizen or permanent resident) with the ability to obtain and maintain a U.S. Department of Defense (DOD) Secret Clearance or higher. Prior clearance or experience working in secure environments is highly desirable.</li><li>Excellent communication and collaboration skills, with the ability to engage effectively with multidisciplinary teams, including engineers, product managers, and non-technical stakeholders.</li></ul> PREFERRED QUALIFICATIONS <ul><li>Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and familiarity with containerization (e.g., Docker, Kubernetes) is highly beneficial.</li><li>Knowledge of best practices in data governance, ethics, and privacy, as well as experience with data security and compliance requirements relevant to sensitive and classified information.</li><li>Leadership experience, with the ability to mentor junior data scientists and lead project teams in the execution of complex data science initiatives.</li><li>Experience working with terabyte-scale data, robotics data formats (e.g. MCAP, HDF5), and dataframes (e.g. Pandas, PySpark).</li></ul> US Salary Range $168,000-$252,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: <ul><li>Platinum Healthcare Benefits: For U.S. roles, we offer top tier platinum coverage (medical, dental, vision) that are 100% covered by Anduril for you and 90% covered for your dependents.<ul><li>For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents.</li><li>For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril.</li></ul></li><li>Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents.</li><li>Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans.</li><li>16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition.</li><li>Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting.</li><li>Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well.</li><li>A professional development stipend is available to all Andurilians.</li><li>Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro-kitchens.</li><li>Company-funded commuter benefits available based on your region.</li><li>Relocation assistance (depending on role eligibility).</li><li>401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only)</li></ul> The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you! To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

Company Description Experian is the world's leading global information services company. During life's big moments - from buying a home or a car, to sending a child to college, to growing a business by connecting with new customers - we empower consumers and our clients to manage their data with confidence. We help individuals to take financial control and access financial services, businesses to make smarter decisions and thrive, lenders to lend more responsibly, and organizations to prevent identity fraud and crime. We have 20,000 people operating across 44 countries and every day we're investing in new technologies, talented people, and innovation to help all our clients maximize every opportunity We are very proud that FORTUNE named us one of The 100 Best Companies to Work For.In addition, for the last five years we've been named in the 100 "World's Most Innovative Companies" by Forbes Magazine. Job Description Experian NA Innovation Lab is a R&D unit at Experian formed with the desire to work in collaboration with Experian's business units to enhance relationships with clients and acquire strategic datasets. Experian® is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals, markets and economies, we help organizations find, develop and manage customer relationships to make their businesses more profitable. What You'll Be Doing As a Senior Data Scientist at the Experian Innovation Lab, your role will be to research and develop innovative analytical solutions, prototype new products, and evaluate data assets. You must bring a deep understanding and extensive experience in predictive modeling, machine learning, and deep learning to this position. Key job functions include: <ul><li>Craft advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.</li><li>Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.</li><li>Streamline data manipulation and retrieval through the design of efficient data structures and storage solutions.</li><li>Innovate with tools designed for optimal data processing and information retrieval.</li><li>Dissect and document vast datasets, analyzing and processing them to highlight significant patterns and insights.</li><li>Solve complex business challenges by applying, developing, and inventing impactful algorithms.</li><li>Ensure model excellence by validating performance scores and analyzing ROI and benefits.</li><li>Articulate model processes and outcomes, documenting and presenting findings and performance metrics clearly.</li></ul> As part of our commitment to innovation, you will also have the unique opportunity to engage with projects involving Generative AI and Large Language Models (LLM). This separate aspect of the role allows you to explore the forefront of AI technology, applying your Data Science skills to develop solutions that leverage the latest in AI research and applications. Whether you are already skilled in AI or eager to learn, this opportunity will enable you to expand your technical repertoire and contribute to cutting-edge projects that explore new horizons in the tech landscape. Qualifications Basic Qualifications: <ul><li>Advanced degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.</li><li>3-7 years of working experience in AI, data science, and/or predictive modeling</li><li>Proficiency in multiple programming languages, including but not limited to Python, R, Java, C++, and C.</li><li>Experience in deep learning (CNN, RNN, LSTM, attention models, etc.), machine learning methodologies (SVM, GLM, boosting, random forest, etc.), graph models, and/or, reinforcement learning.</li><li>Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas, etc.</li><li>Experience with large data analysis using Spark (pySpark preferred)</li></ul> Preferred Qualifications: <ul><li>Experience with LLMs and the relevant tools in the Generative AI domain.</li><li>Experience in developing, modifying and experimenting advanced language models</li><li>Experience in developing/applying/evaluating Generative AI based tools and technology</li><li>Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra, etc.</li><li>Experience with modifying and applying advanced algorithms to address practical problems</li></ul> Additional Information Why choose us? Our colleagues' health and wellbeing are a top priority for us, that's why our reward, benefits and wellbeing programs are designed so you can come to work feeling your very best self. Our benefits focus on health, money, and lifestyle so you can tailor your benefits to your own personal needs. Whether it's your physical and mental wellness, getting to work or preparing for the next big milestone in your life, we have a range of flexible options to have you covered! <ul><li>To learn more about our culture and what it's really like to work here, check out our interactive guide here: https://view.pagetiger.com/experianguideforcandidates/1</li><li>Could this be the role for you? Apply now to start your journey with Experian.</li><li>To learn more about our culture and what it's really like to work here, check out our LinkedIn and social media channels using the hashtags #UniquelyExperian</li><li>Youtube video link: https://www.youtube.com/watch?v=trvcHqr81TY</li><li>Experian Careers - Creating a better tomorrow together</li><li>Find out what its like to work for Experian by clicking here</li></ul> Perks <ul><li>Flexible work schedule and relaxed dress code </li><li>Fully remote or in-office hybrid model, depending on location</li><li>Competitively priced medical and dental plans</li><li>Well-rounded employer-matched 401(k) plan</li><li>Free/discounted benefits and services, such as tax-free commuter passes and free credit monitoring</li><li>A well-balanced work-life balance that includes generous sick and vacation time</li><li>Experian is an Equal Opportunity Employer</li><li>Anyone needing accommodation to complete the interview process should notify the talent acquisition partner</li></ul>

Data Scientist Jobs in Costa Mesa, CA

Sr Data Scientist Remote
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April 20, 2024

Sr Data Scientist Remote
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Data Scientist Lead
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Data Scientist With Security Clearance
March 28, 2024

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Data Scientist Jobs in Costa Mesa, CA

Sr Data Scientist RemoteApril 22, 2024

Data ScientistApril 21, 2024

Senior Data ScientistApril 21, 2024

Sr Data Scientist RemoteApril 20, 2024

Sr Data Scientist RemoteApril 17, 2024

Data Scientist LeadApril 14, 2024

Data Scientist With Security ClearanceMarch 28, 2024