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Company Overview: Req ID: (phone number removed) NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Scientist to join our team in WARREN, New Jersey (US-NJ), United States (US). Job Description: Day to Day job Duties: Design and develop predictive models, Client algorithms, statistical analyses and feature engineering to solve complex problems for hardware feedback, ease of use for customers, retrospective data analysis and expanding product capabilities Evaluate the performance of AI/Client/Computer Vision models/algorithms using relevant metrics, ensuring they meet industry-specific requirements. Participate in the full lifecycle of AI projects, from ideation and model development to implementation, validation, and deployment. Create informative and visually appealing data visualizations and reports. Identify opportunities for innovation and improvement in analytics and data-driven decision-making. Communicate complex computer vision concepts, and project outcomes to a diverse audience, including technical and non-technical stakeholders. Provide mentorship and guidance to junior AI scientists and data scientists Basic Qualifications: P & C Insurance domain Knowledge is mandatory Experience in one or more Client toolkits or Python frameworks Experience and demonstrable knowledge of Deep Learning concepts Understanding of probability and statistics and machine learning concepts such as precision, recall, optimization, hyperparameter tuning, overfitting, and interpretability Experience in applying standard implementations of machine learning algorithms effectively by choosing a suitable model such as decision tree, knn, neural net, or an ensemble of multiple models Understanding of how components and processes work together and communicate with each other using library calls, REST APIs queueing/messaging systems and database queries Understanding of system design to avoid bottlenecks and let your algorithms scale well with increasing volumes of data Self-driven and self-guided in a dynamic environment Experience with PyTorch, NLTK, SciPy, Scikit-Learn, Numpy, OpenCV or equivalent for image preprocessing Experience with SQL/NoSql databases and queries Familiarity with coding best practices, OOD/OOP, modular design, SOA, and systems architecture Technical skills: Python, pyspark or R programming language for coding Kubernetes and docker for deployment AWS sagemaker or EC2 instances for cloud MYSQL, Oracle, mongodb or Redshift DB for database Python and pyspark for programming Cloudera Distributed Platform for computing & deployment deep learning/neural networks packages like pytorch, tensorflow in python and use GPU for training distributed computing pyspark and parallel compute in libraries in python Degree: Bachelors in Computer Science or equivalent work experience About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize, and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Visit us at (url removed). NTT DATA is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team. #J-18808-Ljbffr
