AI Training for Self-Help Experts

Role: Data Scientist

Location: Auburn Hills, MI (Remote 50%)

Only W2

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