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Data Scientist

1 month ago


Buffalo Grove, United States JobRialto Full time
Description Technical Proficiency in Data Science Tools and Techniques

Expertise in programming languages such as Python, R, and SQL.

Proficiency with data analysis, machine learning frameworks, and tools like TensorFlow, scikit-learn, Pandas, and NumPy.

Experience with Manufacturing Data

Familiarity with data types, formats, and standards specific to the manufacturing industry.

Understanding of manufacturing processes and metrics, which is critical for relevant and actionable insights.

SaaS and Cloud Computing Expertise

Experience working with cloud platforms (AWS, Azure, Google Cloud) and SaaS models.

Knowledge of data storage solutions, data warehousing, and cloud-based analytics tools.

Strong Analytical and Statistical Skills

In-depth knowledge of statistical analysis, hypothesis testing, and predictive modeling.

Ability to apply these skills to interpret complex datasets and generate insights.

Business Acumen

Understanding of the business context within manufacturing software and SaaS partnerships.

Capability to align data science projects with business objectives and strategic goals.

Problem-Solving Ability

Proactive in identifying business problems that can be solved with data science.

Creative in developing innovative solutions and models to address these problems.

Project Management Skills

Experience in managing data science projects, including scoping, planning, and execution.

Familiarity with agile methodologies and project management tools.

Data Engineering Skills

Knowledge of data pipelines, ETL processes, and database management.

Ability to ensure data quality, integrity, and security.

Communication Skills

Proficiency in communicating complex data findings in a clear and actionable manner to stakeholders.

Experience in creating visualizations and reports using tools like Tableau, Power BI, or similar.

Continuous Learning and Adaptability

Commitment to staying updated with the latest trends and advancements in data science and technology.

Willingness to continuously learn and adapt to new tools, techniques, and industry developments.

Education: Bachelors Degree