EOSYS · 4 weeks ago
Associate Commercial Data Scientist
EOSYS is a management consulting firm that provides data-driven insights and actionable recommendations to help organizations grow revenue. The Associate Commercial Data Scientist will work with project teams to present and interpret statistical analyses, apply machine learning algorithms, and communicate findings to stakeholders.
Industrial AutomationIndustrial DesignIndustrial EngineeringInformation TechnologyManufacturing
Responsibilities
Support teams engaged with big data environments
Create, apply, and interpret advanced statistical & machine learning approaches
Advise teams with data preparation and model-building best-practices
Use and develop communication skills to communicate project findings, conclusions and recommendations with your peers and clients
Participate in client meetings to review and present analytical approaches and interpret results
Build, rollout, and support the use of automated AGI internal tools for project-related analytics
Help standardize / consolidate modeling approaches for AGI service offerings
Support Commercial Analytics practice development (e.g., analytical trainings, new offering development, etc.)
Qualification
Required
Bachelor's degree with record of solid academic achievement
1+ years of relevant professional experience
Knowledge of supervised & unsupervised machine learning algorithms for regression / classification
Proficiency with open-source data science languages like R or Python
Experience with Data Visualization tools like PowerBI or Tableau
Ability to manage multiple priorities / projects
Problem solving skills for business problems
Strong interpersonal and team working skills
Good communication skills (written and verbal)
Ability to learn quickly and resourcefully
High degree of motivation, flexibility and creativity
Positive attitude and strong willingness to learn from mentors and peers
Ability to travel (sometimes on short notice)
Preferred
Coursework in Mathematics, Economics, Data Science, Statistics, or Computer Science strongly preferred
Moderate to advanced Excel and PowerPoint skills are preferred