Address
Form of workJob Description
USC or GC
Pay attention to highlighted. If candidate can't give a descriptive answer/examples then they are not that right fit
Employment Type: Contract Status: Hot Description:
Are there 2-3 screening questions that suppliers can ask prior to submittal and submit with the candidate's resume that would provide insight on their fit for this role?
Position Title: Data Scientist Sr
Position Location:
Target Start Date
Intended length of Assignment:
Pay Rate:
Describe the role and the key responsibilities in order of which they will be doing day 1 and frequently followed by those they will be doing as the project/work progresses:
Skills:
Education/Experience:
Describe interview process:
Pay attention to highlighted. If candidate can't give a descriptive answer/examples then they are not that right fit
Employment Type: Contract Status: Hot Description:
Are there 2-3 screening questions that suppliers can ask prior to submittal and submit with the candidate's resume that would provide insight on their fit for this role?
- Why is your knowledge of Python as it relates to modeling?
- What is your experience in bringing machine learning models to production?
Position Title: Data Scientist Sr
Position Location:
- Pittsburgh, PA ( Hybrid 3x per week)
Target Start Date
- ASAP
Intended length of Assignment:
- Indefinitely - CTH a possibility but cannot predict at this time
Pay Rate:
- $ 65-70 /hr W2
Describe the role and the key responsibilities in order of which they will be doing day 1 and frequently followed by those they will be doing as the project/work progresses:
- A leader and SME to data science
- Advise on different resolutions to try for given projects with a consultative type work style
- Familiarity
- Indico
- SK Learn
- Python based libraries
- Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
- Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
- Generate and test hypotheses and analyze and interpret the results of product experiments.
- Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
- Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.
Skills:
- Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
- The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
- Experience working with large datasets.
Education/Experience:
- Bachelor's Degree in computer science or in a relevant field or equivalent work experience required
- Master of Science degree in computer science or in a relevant field or equivalent work experience required Nice to have
- 6-8 years of relevant experience required.
Describe interview process:
- 1 - 2 rounds --- 2 Data Scientist/mgrs. along with the HM
