Role Overview
The Associate Commercial Data Scientist will work with multiple teams to present and interpret statistical analyses in business contexts, and will be expected to interpret and tune machine learning algorithms, work in big data environments, and communicate project findings to stakeholders.
What You Will Do
Support consulting teams and clients by understanding business problems, providing data-driven insights, and developing data-driven solutions; develop and deploy machine learning solutions on wide-ranging data sets; advise teams on data acquisition, extraction, transformation, management, and model-building best-practices.
Why It Might Be a Fit
The role offers outstanding professional growth and career opportunities, with on-going coaching from the Commercial Analytics function and the ability to engage with senior leadership.
Requirements
- Bachelor’s degree with record of solid academic achievement
- 1+ years of relevant professional experience
- Coursework in Mathematics, Economics, Data Science, Statistics, or Computer Science strongly preferred
- 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
- Moderate to advanced Excel and PowerPoint skills are preferred
- 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)
To apply for this job please visit recruiting.paylocity.com.
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