Location
Auburn Hills, MI | United States
Job description
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 in Auburn 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 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, 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. 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 regard 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.
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