Data Scientist

Req ID: 301409 

NTT DATA 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 Canton, Massachusetts (US-MA), United States (US).

NTT Data is seeking an experienced Data Scientist to meet the growing demand for predictive analytics to provide actionable information and business insights. In this role, you will partner with the business and other data scientists to experiment, design, build, and deploy machine learning models that predict utilization for Population Health and Health Care Services. The data scientist will perform research and analysis required by business stakeholders to inform data-driven outreach and care decisions for our members. Responsibilities include the design and implementation of pipelines for ingestion, engineering, and analysis of data from a wide variety of sources and building and testing predictive models using machine learning and advanced statistics.
 
Minimum Experience:

• Bachelor's degree in Mathematics, Computer Science, Engineering, Statistics, Economics, or related quantitative discipline, or equivalent related work or military experience.
• 3-5 years of experience in data science or data analysis with a focus on advanced analytics, statistical modeling, machine learning, forecasting and optimization.
• Deep knowledge of ML tools & frameworks such as Scikit-Learn,  TensorFlow, PyTorch, etc..
• Proven track record building data and modeling pipelines, modeling rare events using applied supervised learning algorithms, familiarity with conceptual and logical data modeling principles.
• Outstanding applied skills in statistical analysis, modeling & inferencing (hypothesis testing, outlier detection, statistical inference & analysis).
• Extensive experience with Python and SQL programming languages.
• Hands-on experience in Databricks.

Preferred Experience:

• Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or any related quantitative discipline.
• Knowledge and experience with data warehouses, data storage, cloud platforms, and cloud computing such as Azure/Databricks
• Demonstrated examples of generating business insights that improved operations or financials.
• Familiarity with claims data / payer industry.
• Strong communications skills to both technical and non-technical audiences, ability to explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems.

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. 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 one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

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.