189 senior data scientist Jobs in san francisco, ca
Upgrade is Hiring a Data Scientist Near San Francisco, CA
Responsibilities:
- Develop and implement statistical/machine learning models for various business areas, including Credit Risk, Fraud, Marketing, and Operations.
- Validate models to identify factors that may affect model performance.
- Actively research new tools and techniques available for model development.
- Collaborate with various teams across Upgrade in model development process: Operations, Product, Marketing, and Credit Risk.
Skills:
- Advanced Degree (MS/PhD) in Statistics, Mathematics, Data Sciences or a related quantitative discipline.
- 2 years experience as a Data Scientist. Recently graduated students welcome to apply.
- Experience and/or strong interest in latest machine learning techniques (Random Forest, Gradient Boosted Trees, etc. strongly preferred).
- Ability to go deep into complex technical topics, understand modeling and algorithms.
- Proficient in Python.
- Ability to write documentation and present analysis to people with different levels of expertise (e.g., technical staff, business leads, etc.).
- Detail oriented and strong analytical skill set.
- Proactive, driven, and ability to work in a fast paced environment.
Job Summary
Full Time
$142k-175k (estimate)
05/02/2024
05/19/2024
BROOKLYN, NY
200 - 500
2008
MARLON PIGG
$50M - $200M
Consumer Services
Related Companies
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
12/22/2021: Dallas, TX
Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
02/17/2022: Lompoc, CA
A data scientist develops software to structure the raw data.
02/16/2022: Lansing, MI
Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
02/12/2022: San Diego, CA
Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
02/01/2022: Peoria, IL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
01/31/2022: Passaic, NJ
Data scientists lay a solid foundation to help perform all kinds of analysis.
01/31/2022: Champaign, IL
Data scientists are also expected to have stronger software engineering skills that data analysts.
02/19/2022: Springfield, OR
Business analysts are focused on reporting, just like data analysts.
02/04/2022: Jamestown, NY
A data scientist should understand the assumptions that need to be met for each statistical test.
03/04/2022: Hialeah, FL
Step 3: View the best colleges and universities for Data Scientist.
