Home
/
Data and Analytics
/
Data Scientist
Data Scientist-March 2024
Auburn Hills
Mar 19, 2025
ABOUT NTT DATA SERVICES
NTT DATA Services is a top global IT services provider with 130,000+ employees in more than 50 countries.
10,000+ employees
Consulting, Technology
VIEW COMPANY PROFILE >>
About Data Scientist

  Company Overview:

  Req ID: 262846

  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 Auburn Hills, Michigan (US-MI), United States (US).

  Job Description:

  Purpose of Role/Organizational Unit:

  Data scientist resource will be member of Client's Enterprise Data and Advanced Analytics team, working with cross-functional teams to leverage data and advanced analytical techniques and deliver data-driven solutions within an organization. This work entails problem solving in a variety of domains, including: regression and classification problems; natural language processing tasks; business process optimization; and conducting research and analysis on new technologies and business methodologies.

  Functions/Responsibility Performed:

  The following functions are the responsibility of the Data Scientist. This individual may be asked to solely perform the functions, per agreement with the Enterprise Data Science Manager.

  • Collaborate with business stakeholders to understand their challenges and requirements

  • Translate business problems into analytical frameworks and identify opportunities to address complex problems

  • Identify valuable data sources and use Analytical and Visualization tools to explore data, identify trends and discovery patterns

  • Apply statistical analysis and data mining techniques to analyze large and complex datasets

  • Enhance data collection process with preprocessing steps, transform raw data and apply cleansing of structured and unstructured data

  • Automate data collection processes using pipelines

  • Develop and implement models, algorithms, and statistical methodologies to derive actionable insights and make accurate predictions

  • Build interactive dashboards and data visualizations applications to present the model results to stakeholders

  • Document best practices and quality standards to be adherence during development of data science solutions

  • Conduct review and provide feedback on data science work applications

  • Monitor and manage production solutions. Optimize and fine-tune models for performance, accuracy, and scalability

  • Collaborate with cross functional teams to deploy models into production environments

  • Be a team player, proactive, an effective communicator with ability to work independently

  • Eager to learn new data domains

  Unique Competencies:

  • 8+ years of experience in Data Science and Analytical Domains

  • Understanding of machine-learning and operations research

  • Proficiency in Query languages SQL, Hive and scripting languages

  • Knowledge of R; familiarity with Scala, Java is an asset

  • Strong expertise in Python programming

  • Usage of business intelligence tools (e.g. Tableau, Looker) and data frameworks (e.g. Hadoop, Google Cloud Platform, SAP)

  • Experience in Kubernetes, GCP, AWS, and cloud-native technologies generally

  • Design and Development in Google cloud platform solutions

  • Build data ingestion processes using Google cloud ETL tools (Data fusion, Dataflow, Dataproc, Airflow)

  • Expertise in Data Management - running queries in databases including Big Query, Hadoop, Oracle, SQL Server

  • Usage of Google BigQuery Client and Vertex AI

  • Proven experience in building end to end and automating machine learning pipelines

  • Working knowledge of containers. For example, experience with Docker or podman

  • Comfortable with git; making commits, creating and merging branches, navigating GitHub and GitLab

  • Strong command lines skills in Linux environments

  • A high tolerance for OpenShift, Confluence, Jira, and other enterprise tools

  • Analytical mind and business acumen

  • Proficiency in Data wrangling

  • Strong math skills (e.g. statistics, algebra)

  • Problem-solving aptitude

  • Excellent communication and presentation skills

  Educational Requirements:

  * Bachelor's Degree in Computer Science engineering or Data Analytics

  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.

Comments
Welcome to zdrecruit comments! Please keep conversations courteous and on-topic. To fosterproductive and respectful conversations, you may see comments from our Community Managers.
Sign up to post
Sort by
Show More Comments
SIMILAR JOBS
Estágio em Engenharia de Qualidade (foco em Fornecedores)
Job Description Summary Job Description Programa de Estágio 2024 Power Conversion Campinas Quem somos: A GE Power Conversion faz parte da GE Vernova. Somos líderes globais em tecnologias, soluções e
Conseiller.ère de Vente (m/f/d*) - Tommy Hilfiger - Roubaix - Stage 2 Mois
A propos de PVH Créée en 1881, PVH est l'une des plus importantes entreprises textiles au monde. Parmi ses marques figurent Calvin Klein, acquise en 2003, et Tommy Hilfiger en 2010. A propos de ce po
Stage - Assistant E-Commerce (H/F)
CONTEXTE Unilever figure parmi les leaders des secteurs des boissons et glaces, des produits alimentaires, de soin de la personne et d'entretien de la maison. Unilever est présent dans 190 pays à tra
Consulting AI and Radar Software Engineer
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and in
Senior Provider Data Analyst
Job Description Principal Duties and Responsibilities: Your responsibilities may include but are not limited to: • Follows all predefined guidelines and timelines such as verifying documents, analysi
2024 Summer Intern: Assoc Data & Reporting Analyst - Customer Operations
The Spectrum Internship Experience Who is Spectrum? We are a Connectivity Company. We connect our customers to superior communications and entertainment products with the highest quality service. As
Senior Buyer
Job Requisition ID # 23WD72035 Position Overview Do you have a passion for strategic sourcing? Can you spot opportunities where others can't? Are you a change agent who challenges the status-quo and
Sr Study Technician - Animal Operations
Excellent research career opportunity as a Senior Study Technician in Madison, WI! Your role is vital to improving the health of family, friends and animals. Our work in developing new pharmaceutical
Database Analyst (Oracle Financials)
Database Analyst (Oracle Financials) Position Description CGI Federal is seeking Database Analysts to support a component of the Department of Health and Human Services. This component is a single, i
Data Engineer
Atlassian is looking for a Data Engineer to join our Go-To Market Data Engineering (GTM-DE) team which is responsible for building our data lake, maintaining our big data pipelines / services and fac
Copyright 2023-2025 - www.zdrecruit.com All Rights Reserved