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NexoGlobal Inc

AI Training for Self-Help Experts

📍
United States
🧪
Mid-Senior level
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

Key informations

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Contract
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Posted 2 months ago

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