Vacancy caducado!
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 a Hybrid/Partially on-client site inAuburn Hills, Michigan (US-MI), United States (US).Purpose of Role/Organizational Unit:
The data scientist resource will be a Client's Enterprise Data and Advanced Analytics team member, 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 various 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 discover patterns
Apply statistical analysis and data mining techniques to analyze large and complex datasets
Enhance the 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 visualization applications to present the model results to stakeholders
Document best practices and quality standards to be adhered to during the 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, and an effective communicator with the ability to work independently
Eager to learn new data domainsUnique 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, and 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 ML 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 postman
Comfortable with git; making commits, creating and merging branches, navigating GitHub and GitLab
Strong command-line 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. sta
Vacancy caducado!