Job Details
Good morning! I still have one more Data Scientist role currently available! Please send me your best candidates ! This role is 100% onsite in Stamford, CT from day one, so the candidate will have to relocate if they don't already live there! Additionally, it is a 4-6 month contract to hire role, they need to be able to convert without sponsorship (GC, H4-EAD, USC). Please let me know if you have questions.
Required Skills:
- Strong SQL and Python experience.
- Strong Data Scientist experience.
- Need to be strong with building predictive and statistical models!!
- Need STRONG communication skills.
Title: Data Scientist
Company: Charter Communications
Location: 100% on site in Stamford, CT
Team: Credit Risk team
Start: ASAP
Duration: 4-6 month contract to hire
Pay Rate: $ 60-65/hour C2C
Conversion Salary: I will discuss with the candidates.
Interview Process: 1 st round SQL screening with Edward Herlic, 2 nd round modeling experience interview with Shang Zhao, 3 rd round modeling experience interview with Peter Yang
What the environment / Sell: 2nd largest cable provider in the USA, opportunity to work on large scale enterprise location. Charter is an essential business that has continued to see growth regardless of covid. Charter was just awarded MSO of the year through Multi-Channel news which is a very prestigious award to receive in this space.
Description:
The Data Scientist will build predictive and statistical models to improve credit policy and minimize credit losses. The position leads development and analysis of new Credit Services strategies, partnering with Credit Services subject matter experts, as well as operations partners, to create new approaches and improve risk mitigation performance. The successful candidate will be responsible for generating the quantitative analysis necessary for data-driven business recommendations.
project focus: they are building a predictive model to evaluate credit risk in real time for potential new customers. they want to assess risk in real time so they can make financing offers to them as they look to sign up
they currently have a model in production also that they need to keep checking performance on. doing performance tracking and make adjustments to the model accordingly based on the tracking/findings.
they are expecting the delinquency rate to rise this year due to the economic downturn. their models are not equipped to factor this in so they must do an analysis / forecasting based on expected economic effects this year.
MAJOR DUTIES AND RESPONSIBILITIES
Actively and consistently supports all efforts to simplify and enhance the customer experience.
- Create predictive and statistical models to identify possible defaulters
- Use statistical techniques to build various predictive/explanatory models for such initiatives as: acquisition/risk management, customer retention, and customer segmentation
- Analyze data to provide meaningful insights. This individual must have strong data manipulation and interpretation skills, and be able to quantitatively assess business problems.
- Gather business requirements. This individual will need to work with leadership and business partners to identify data and reporting needs for analysis.
Partner on the design and implementation of statistical data quality procedures for existing and new data sources.
Communicate complex data science solutions, concepts, and analyses in a clear and effective manner to team members and business leaders.
Establish links across existing data sources and find new, interesting data correlations.
Present data insights and recommendations to key stakeholders.
Achieve defined project goals within deadlines; proactively communicate status and escalate issues as needed.
Ensure testing and validation are components of all analytics solutions.
REQUIRED QUALIFICATIONS
Skills/Abilities and Knowledge
- Hands-on experience of statistical model building, validation, and implementation
- Experience with analytical and statistical software/tools such as SAS or Python
- Strong expertise in SQL
- Excellent analytical and problem solving skills with attention to detail and data accuracy