At Angi, we have one simple mission: Get all your home service jobs done well. That's how we've helped over 150 million homeowners care for their homes over the last 25 years. Today, our network has grown to over 200,000 skilled local pros - and our platform has made it easier than ever to find the right one for your project, from repairs to renovations and everything in between. About the team Angi is seeking an exceptional Staff Data Scientist who can enable our transformation into a world-class online marketplace. Our Data Science and Machine Learning team uses state-of-the-art machine learning and AI techniques such as LLMs and neural rankers to both structured and unstructured data. The fraud detection team is dedicated to maintaining the integrity of the platform by actively protecting both homeowners and pros from fraud. We develop models to screen and onboard new users, verify user authenticity, prevent spam, and remove misleading reviews & profiles. Our efforts extend to ensuring the quality of interactions so that every experience on Angi builds confidence and trust in the platform. In addition to developing models, we're also looking for someone who can deploy them at large scale with low latencies to serve our customers dynamically working closely with our Machine learning engineers and data platform team. What you'll do Model Development & Data Strategy: Lead development of state-of-the-art machine learning models and algorithms to improve fraud detection in both sides of the marketplace and booking process. This will include but not limited to having expertise in the fraud domain and building models with high efficiencies. Success in these areas will impact reducing the risk and fraud and improving user experience as critical metrics for business success. Model Deployment: Implement highly optimized models to ensure the seamless deployment and scalability in production. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, data scientists, product managers, and designers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia. Who you are You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields). You have 7 years of experience in data science & machine learning, with a focus on real-time ML models, ideally within the tech industry & marketplace environments with focus on fraud. You are an expert in machine learning and deep learning, and have a good working knowledge of large language models. You have expertise in state-of-the-art algorithms such as Graph NN, Reinforcement Learning and other unsupervised learning approaches for detecting transactional and non-transactional frauds. You have a proven track record of deploying highly impactful machine learning models into production environments. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation & Benefits The salary band for this position ranges$200,000 - $280,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Pet discount plans & retirement plan with company match (401K) The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world LI-Remote BI-Remote

Description It's an exciting time to be at Infoblox. Named a Top 25 Cyber Security Company by The Software Report and one of Inc . magazine's Best Workplaces for 2020, Infoblox is the leader in cloud-first networking and security services. Our solutions empower organizations to take full advantage of the cloud to deliver network experiences that are inherently simple, scalable, and reliable for everyone. Infoblox customers are among the largest enterprises in the world and include 70% of the Fortune 500, and our success depends on bright, energetic, talented people who share a passion for building the next generation of networking technologies-and having fun along the way. We are looking for a Staff Data Scientist to join our Data Science team, reporting to the Director of Data Science. In this role, you will turn ideas into AI solutions by working with our Software Engineering and Product teams. We are embarking on the most transformative change in our business and technology history, and our Machine Learning (ML) Engineers are at the forefront of this evolution. By leading groundbreaking projects and initiatives, you have the unique opportunity to shape the way networks are configured, managed, and secured, making network security easy for our customers. You are the ideal candidate if you have a knack for implementing AI and ML solutions, you enjoy collaborating with engineers, product managers, and sales, and want to simplify networking and network security for our customers. What You'll Do: Play a critical role in setting the direction and goals for our AI Ops and Generative AI efforts, focusing on project impact andML system design Adapt standard machine learning methods to harness the full potential of cloud computing and GPUs Lead the development of ML best practices and positively influence our engineering culture, fostering collaboration, feedback, and continuous improvement Develop highly scalable classifiers and tools, using machine learning, data regression, and rules-based models, to address recommendation, classification, and optimization challenges Suggest, collect, and synthesize requirements, create a practical feature roadmap, and work in tandem with the Engineering team to deliver ML solutions What You'll Bring: Minimum 12 years of experience in software engineering or a relevant field, or 7 years of experience with a PhD Minimum 4 years of experience in machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, NLP, or related technical fields Demonstrated experience in developing machine learning models at scale, from inception to achieving business impact Knowledge of developing and debugging in both Spark and Python Proven experience in technical leadership, project ownership, and setting technical direction for teams Bachelor's degree in computer science, computer engineering, or a relevant technical field Master's degree or Ph.D. in computer science or related technical field preferred Exposure to architectural patterns or large-scale software applications preferred What Success Looks Like: After six months, you will Demonstrate a strong command of AI Ops and Generative AI technologies, with a clear understanding of how they contribute to our networking DDI and network security solutions Successfully lead and deliver critical AIOps and Generative AI projects, showcasing your technical expertise and ability to drive excellence across teams Collaborate effectively with data scientists, data engineers, and Product management, actively contributing to the development of innovative solutions for helping our customers in configuring, managing, troubleshooting, and securing their DDI infrastructure Be recognized as a go-to person for addressing complex online/production performance and evaluation issues, leveraging your in-depth knowledge of the interaction between machine learning systems and the surrounding network infrastructure After about a year, you will Play a pivotal role in transforming our AI Ops and Generative AI capabilities, significantly advancing the way people connect around the world through our software and hardware offerings Drive innovation and improvement in our AI Ops and Generative AI projects, resulting in the development of cutting-edge tools and scalable classifiers that set new industry standards Establish yourself as an expert in AI Ops and Generative AI within our organization, providing thought leadership and strategic insights to advance our transformative initiatives further We've got you covered: In the spirit of pay transparency, we are excited to share our compensation philosophy. At Infoblox, we believe in paying for performance. You can expect our employment offers to take many factors into consideration, including but not limited to the location of the role, internal equity, applicable past experience, individual skill set, education, and professional certifications. Please keep in mind that the range mentioned is the base salary range for the role. The typical base salary range for this position is $151,300 - $228,030 plus corporate bonus. Our holistic benefits package includes coverage of your health, wealth, and wellness-as well as a great work environment, employee programs, and company culture. We offer a competitive salary and benefits package, including a 401k with company match and generous paid time off to help you balance your life. We have a strong culture and live our values every day-we believe in transparency, curiosity, respect, and above all, having fun while delighting our customers. Speaking of a great work environment, here are just a few of the perks you may enjoy, depending on your location Onsite massages, clubs, farmers market, and fitness classes Delicious and healthy snacks and beverages Electric vehicle charging stations Outdoor amenities, seating, and courtyard BBQ Dog park and pet-friendly programs Newly remodeled offices with state-of-the-art amenities Why Infoblox? We've created a culture that embraces diversity, equity, and inclusion and rewards innovation, curiosity, and creativity. We achieve remarkable results by working together in a supportiveenvironment that focuses on continuous learning and embraces change. So, whether you're a software engineer, marketing manager, customer care pro, or product specialist, you belong here,where you will have the opportunity to grow and develop your career.Check out what it's like to be a Bloxer .We think you'll be excited to join our team. LI-ME1 LI-Remote

SYNERGISTICIT is aware that the Job Market is Challenging due to almost 300,000 Tech Layoffs within the past year due to which The Job market is flooded with thousands of laid off Techies who are competing with existing Jobseekers. For entry level Job seekers to get client interviews and jobs they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients. Since 2010 we have helped Jobseekers differentiate themselves by providing the clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a Job we make careers. All Positions are open for all visas and US citizens We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this economy no client wants or has the resources to take an entry level person and spend resources on upgrading their skills and on top of that pay the jobseeker. That's the specific reason there are so many techies both experience and freshers who are unemployed. Clients have now the option to hire remote workers from anywhere so for a Jobseeker its important to introspect and see how they can become better and have the skills and technologies to meet client requirements. We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, bank of america, visa, walmart labs etc to name a few. We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates We also offer optionally Skill and technology enhancement programs for candidates who are either missing skills or are lacking Industry/Client experience with Projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If they are qualified with enough skills and have hands on project work at clients then you should be good to be submitted to clients. Shortlisting and selection is totally based on clients discretion not ours. If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team. please check the below links to see success outcomes of our candidates https://www.synergisticit.com/candidate-outcomes/ We are also silver sponsors at Oracle Cloudworld , Las vegas from sept 18-21st- please visit us https://www.oracle.com/cloudworld/sponsor-listing/synergistic-it Watch the below videos of us participating at Industry events with the Top companies in Technology at Oracle Cloud world /Oracle Java one (Las vegas) and at Gartner Data Analytics Summit (Florida) Oracle CloudWorld Event (OCW) Las Vegas 2022 | SynergisticIT - YouTube https://www.youtube.com/watch?vOAFOhcGy9Z8 https://www.youtube.com/watch?vEmO7NrWHkLM https://www.youtube.com/watch?vNVBU9RYZ6UI https://www.youtube.com/watch?vYy74yvjatVg SynergisticIT at Gartner Data and Analytics Summit 2023 - YouTube If you have relevant skills and industry experience, please apply For preparing for interviews please visit https://www.synergisticit.com/interview-questions/ REQUIRED SKILLS For Java /Software Programmers Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Project work on the skills Knowledge of Core Java , javascript , C++ or software programming Spring boot, Microservices, Docker, Jenkins and REST API's experience Excellent written and verbal communication skills For data Science/Machine learning REQUIRED SKILLS Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Project work on the technologies needed Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools Excellent written and verbal communication skills Preferred skills: NLP, Text mining, Tableau, PowerBI, Time series analysis Please understand skills and relevant experience on real world projects are required by clients for selection even if its Junior or entry level position the additional skills and Project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. No third party candidates or c2c candidates please only apply to the posting If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team. No phone calls please. Shortlisted candidates would be reached out.

Cardiosense is a digital health company that operates at the intersection of wearable technology and artificial intelligence to improve patient health. Our mission is to use physiological waveform data to predict cardiac illness and enable early interventions so people can enjoy healthier, longer lives. To achieve our mission we are building a physiological waveform AI platform to develop predictive biomarkers to detect and manage cardiac disease. The company has developed a suite of novel digital tools, multi-sensor devices, and analysis algorithms for use by care providers to detect clinical worsening earlier, inform personalized therapy, and improve patient outcomes. Our team brings together experts in data science, electronics, and healthcare and has partnered with leading healthcare and academic institutions to introduce the next generation of patient waveform monitoring and analytics solutions. About the role: Develop software solutions to provide clinically relevant metrics and indications from unobtrusive and non-invasive sensors. Coordinate with cross-functional teams to align business, clinical, and model requirements. Collaborate with clinical teams and external vendors to facilitate data collection. Apply digital signal processing techniques to physiological waveforms (PPG, ECG, SCG, etc.) and build novel machine learning algorithms for hemodynamic assessment. Design, implement, and evaluate models using both classical feature extraction and deep learning techniques. Manage multiple experiments in parallel. Perform statistical and subpopulation analysis on sensor and clinical data collected from clinical trials. QUALIFICATIONS: MS/PhD in Electrical Engineering, Statistics, Bioinformatics, Computational Biology, Computer Science, Mathematics, or equivalent practical experience. 5 years of experience in data analysis or related fields such as Data Scientist, Computational Biologist, or Bioinformatics. Experience with wearable health sensors and related biometric algorithms (e.g., PPG, ECG, respiratory signals). Expertise in digital signal processing techniques and AI/deep learning concepts. Strong ability to communicate requirements, manage tasks, and relay results to management teams. Understanding of good machine learning practices for medical device development. PREFERRED: Experience in a healthcare or medical device environment. Proficiency in programming languages such as Python, R, or MATLAB. Familiarity with cloud computing platforms and tools. Demonstrated ability to work independently and as part of a team. Excellent problem-solving and analytical skills. Cardiosense is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, disability status, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Data Scientist Jobs in Schiller Park, IL

Data Scientist Remote
November 19, 2024

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Entry Level Python Programmerdata Scientistanalyst Remote
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Staff Data Scientist
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Staff Data Scientist
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Entry Level Python Programmerdata Scientistanalyst Remote
October 30, 2024

Staff Data Scientist
October 27, 2024

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Data Scientist Jobs in Schiller Park, IL

Data Scientist RemoteNovember 19, 2024

Rwe Data ScientistNovember 19, 2024

Data Scientist Fixed IncomeNovember 13, 2024

Entry Level Python Programmerdata Scientistanalyst RemoteNovember 4, 2024

Staff Data ScientistNovember 3, 2024

Staff Data ScientistNovember 2, 2024

Entry Level Python Programmerdata Scientistanalyst RemoteOctober 30, 2024

Staff Data ScientistOctober 27, 2024