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Data Scientist Auburn Hills,MI Hybrid at Auburn, Pennsylvania, USA
Email: [email protected]
Data Scientist

Auburn Hills, MI 50% Remote Hybrid

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:
* Bachelors Degree in Computer Science engineering or Data Analytics

Kind Regards,

Asim Ahamed

[email protected]

Intellicept Corporation - A Division of McKinsol Consulting

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SAP S4 HANA | SAP S/4 Fashion | SAP Staffing| Non-SAP Roles (Intellicept Inc.)

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Wed Dec 06 22:26:00 UTC 2023

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