134 Data Scientist Jobs in San Francisco, CA
GLO is Hiring a Data Scientist Near San Francisco, CA
Essential Functions and Responsibilities:
- Lead the effort to build, implement and support the data infrastructure
- Own majority of the deliverables for the Data team
- Develop and test architectures that enable data extraction and transformation for predictive and prescriptive modeling
- Analyze and confirms the integrity of source data to be evaluated
- Lead the development of data-driven solutions by working with stakeholders
- Develop and maintain predictive models supporting both product & data initiatives
- Ensure data quality and integrity in modeling by working with data engineers and analysts
- Communicate complex technical concepts to non-technical stakeholders through visualizations and presentations
- Stay up-to-date with advancements in data science to improve modeling capabilities
- Collaborate with cross-functional teams to align data-driven solutions with business objectives
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
- At least 5 years of experience in data science, machine learning, and statistical modeling
- Proficient in programming languages such as Python, R, SQL, and SAS
- Experience with data visualization tools such as Tableau, MixPanel, Google Looker
- Strong understanding of statistical concepts and machine learning algorithms
- Knowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue, AWS Lambda
- Excellent communication and presentation skills to convey technical concepts to non-technical stakeholders
- Ability to work collaboratively in cross-functional teams and lead projects from ideation to implementation
- Experience mentoring junior data scientists and guiding best practices in modeling and analysis
- Experience building ML Models for new Product Features & Fraud
- Experience with Open Source Data Visualization tools
- Experience with Databricks, Reverse ETL
- Start with the why
- Drive change
- Practice resilience
- Embrace progress over perfection
- Communicate openly
- Win together
- This position is fully remote for anyone living in California, Arkansas, Minnesota, Florida, Tennessee, or Texas
- Some travel may be required for in-person collaboration
- Compensation: $145,000 - $180,000/year equity
All job requirements are subject to possible modification to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a direct threat or significant risk to the health and safety of themselves or other employees.
Requirements are representative of minimum levels of knowledge, skills and/or abilities. To perform this job successfully, the employee must possess the abilities or aptitudes to perform each duty proficiently. Continued employment remains on an “at-will” basis.
Powered by JazzHR
LNcksWJ41B
Job Summary
Full Time
$136k-168k (estimate)
07/03/2024
07/31/2024
yogaglo.com
Santa Monica, CA
100 - 200
Related Companies
The job skills required for Data Scientist include Analysis, Data Science, Machine Learning, Python, Algorithms, SQL, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.
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.
Similar Jobs
Popular Articles
