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Company Overview: Req ID: 204072 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 TEMP IT Computer Prof Specialist Advisor to join our team in Northbrook, Illinois (US-IL), United States (US). Job Description: Position Summary: The Data science Analyst for Digital Architecture will be a part of the Digital Capacity (Hardware/Software) Planning Team and will be responsible for analyzing data and incorporate programming techniques to automate the Capacity & Forecast Models by using Data Science, Artificial Intelligence/Machine Language(AI/Client) concepts, tools and techniques. Review and maintain the existing Capacity forecast models and automated scripts. Has strong programming skills, good team player, positive attitude in accepting challenges and collaborate with the team. Responsibilities: Translate business problems to applicable data science problems Prepare data for the analysis, create modeling dataset, assess completeness and quality of data and perform feature engineering Develop machine learning, statistical or optimization models considering the latest development in research and tech community, programming/scripting with Python & R to automate the modelling process, data management using SQL Work with business, product, architecture and engineering partners to design Data Models, analysis and provide solutions Essential Qualifications: Majored in Computer Science, Computer Engineering, or equivalent major/equivalent work experience with Statistical background. Achieved a minimum cumulative 3.0/4.0 GPA or equivalent. 1-2 years of Project/program work experience with Data Science concepts, AI/Client using Python/R/Jupyter/Anaconda 1-2 years of Project/program work experience of computer programming languages Python, HTML, CSS, JavaScript, Unix/Linux, PyCharm, Django, R Studio, Pandas & Scikit libraries Project/program work experience using RDBMS (Oracle, Maria DB), MySQL, MongoDB No SQL Knowledgeable in basic technology concepts of Software/Hardware Capacity Planning, Forecasting and statistical analysis, Time series forecasting and Building & Deploying AI/Client models using algorithms such as Linear Regression, Polynomial Regression, Logistic Regression etc. Knowledge of Big Data/ Data warehousing concepts Knowledge of Application Monitoring Tools like Splunk, AppDynamics, mPulse, Google Cloud Platform. Experience with MS Office products Excel, Word, PowerPoint, Project, SharePoint & Teams. Passion for digital solutions and empathy to continuously improve the customer experience. Held prior internship, co-op, or other team-based project/program work experience with Data Sciences, AI/Client in relevant areas: Retail, Health Care, Software Development, or Digital. Strong programing skills using Python/JavaScript/Java Strong research, analytical, written communication, and oral presentation skills. Strong statistical background and ability to incorporate them based on the business needs Well organized and able to work under pressure and prioritize among multiple projects with limited supervision. Outstanding interpersonal skills and ability to develop relationships across diverse teams. Adaptability and flexibility for a dynamic work environment. Experienced in collaboration tools like Rally, Microsoft Teams, Confluence, Miro, SharePoint. Knowledge of healthcare related domains Required Qualifications: 1-2 years of data science experience (project/internship/program experience) in business setting including collaborating with business partners to understand problems, programming/scripting with Python & R, gather business requirements, design data science models and communicate results and insights back to business partners Data management, building SQL queries and productionalize statistical models with best practices Applying machine learning libraries to address real world data science problems Education: Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master s degree or PhD preferred The Company is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. The Company will consider all qualified applicants for employment without regard to race, color, religious creed, citizenship, national origin, ancestry, age, sex, sexual orientation, genetic information, physical or mental disability, veteran or marital status, or any other class protected by law. To comply with applicable laws ensuring equal employment opportunities to qualified individuals with a disability, the Company will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee unless undue hardship to the Company would result.
Vacancy expired!