Company Overview:
Req ID: 264118
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 Sr. Data Scientist to join our team in Dallas, Texas (US-TX), United States (US).
Job Description:You will be part of the product which plays a pivotal role in the direction NTT DATA Services is taking with the cloud technologies.We are looking for senior Data Scientist with 6 to 10 years of experience in software development projects who has experience in Distributed systems, pyTorch, R. Someone who will help conceptualize, design, generate and test hypotheses, construct features, build and validate models-leveraging your deep-learning, build semantic indexing, construct domain-specific corpus, fine-tune pre-trained models, and build foundation and/or generative Client solutions.You are expected to make significant, direct and high-quality contributions to the product that lead to increased market share and customer happiness.As part of the NTT DATA Services Insurance Analytics Development Team, you will:Understand analytics & modeling needs; build validated data pipelines to extract internal and external data, conduct exploratory analysis.Build new high-signal features; build, strengthen, and validate robust AI/Client solutions.Develop and implement feature engineering strategies to extract meaningful features from raw structured data and text-based data to optimize model performance.Conceptualize, prototype, and implement Generative and Augmented AI solutions, leveraging LLM, NLP, Image processing, and deep-learning capabilities.Work with both data engineering and analytics teams to find useful data sources; ensure data quality and consistency.Qualifications
6+ years experience as a data scientistBuilding and delivering data solutions for a company that uses data as a primary aspect of its businessHands-on experience with Deep Learning frameworks such as PyTorch, Spark MLlib libraryExperience writing reusable, OO Client functions in PythonDeep experience in data wrangling:Data extraction, transformation, and cleansingText pre-processingData profiling and visualizationAnalytical prep-work for predictive modelingAutomated data validationManaging and maintaining metadata and corresponding data dictionariesCommunication & collaboration in an agile environment:Experience collaborating with data engineers, analytics, software engineers, product managers in delivering Client models and data productsAbility to work in a fast-paced, agile environment and handle multiple projects simultaneouslyStrong problem-solving and analytical skillsProven experience identifying opportunities to automate data wrangling and analytics tasks and workflowExperience with end-to-end product development using machine learning algorithms and techniques, including supervised and unsupervised learning, classification, regression, clustering, and deep learning
About NTT DATA Services:
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.
NTT DATA Services 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.