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Elicit Work Values
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Daily Duties at Elicit:
Dedicated data scientist at Fossil Group, fulfilling ad hoc requests, segmentation efforts, predictive modeling, and assisting internal tool development
What they like about Elicit:
A hiring company that offers alternative approaches to pay, performance bonuses, and/or equity in the firm is very attractive to you. You're generally less interested in working for an organization offering only traditional, salary-based compensation, one with limited opportunity to acquire equity in the firm, or one that does not actively promote skill development. In addition, you are more likely to choose a company that offers a variety of internal career options, with defined career paths. You view the learning of new skills and development of your expertise as key to your career advancement. These aspects of an organization may become even more important to you as you progress in your field, and are especially critical if you change career or occupation.
Tags
R, SAS, Python, MySQL, Netezza, Vertica, Excel, Tableau, GitHub, Shell, Support Vector Machines, Random Forests, Adaboost, Gradient-Boosted Machines, Decision Trees, Logistic Regression, C5.0 Rule-Building Algorithm, K-Means Clustering
Skills
R, SAS, Python, Excel, Mathematics, SQL, Data Manipulation, Predictive Modeling, Machine Learning
Information about Elicit
Company Rank: Not Available
Average length of employment : 2 years
Average salary of employees: $97,850
These are some of the questions we asked our climbers about their experiences with Elicit:
| 05| | ||
| Were your performance expectations clearly communicated? | 0.0 |
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| Were you recognized for meeting or exceeding expectations? | 0.0 |
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| Did you feel like your personal contribution was important? | 0.0 |
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| Was your career path clearly outlined and discussed? | 0.0 |
| 03| | ||
| I would recommend this as a place of employment. | 0.0 | |
| I believe in the purpose of this organization. | 0.0 | |
| I would work for this organization again. | 0.0 | |
| I feel employees are fairly compensated. | 0.0 |
Climbers who worked at Elicit had these interests:
| Blogs | |
|---|---|
| Blog Article #1 http://elicitinsights.com/blog/reproducible-data-science |
A blog article that I wrote on reproducible research in data science |
| Blog Article #2 http://elicitinsights.com/blog/do-analytics-have-limits |
A blog article that I wrote on the limitations of analytics and Big Data |
| Websites | |
| LinkedIn https://www.linkedin.com/in/robcausey |
My professional networking page |
