102 Data Scientist Jobs in San Francisco, CA
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Releady is Hiring a Data Scientist Near San Francisco, CA
- Lead complex data analysis projects to solve problems and uncover insights that inform company strategy and operations.
- Develop, deploy, and maintain machine learning models and algorithms to support various business initiatives.
- Champion the application of machine learning techniques in varied business contexts
- Forge strong partnerships with business units to pinpoint areas ripe for innovation, crafting bespoke machine learning strategies from concept to realization.
- Guide technical direction by converting business objectives into data science solutions, collaborating with engineering teams to architect robust data pipelines.
- Undertake comprehensive reviews of contemporary statistical modeling techniques, underpinning the development of valid and innovative models.
- Facilitate the organization's evolution towards cloud computing and implement state-of-the-art practices in machine learning operations (MLOps).
- Proactively identify and mitigate potential obstacles in project workflows.
- Create detailed reports on project outcomes, while also providing mentorship and guidance to emerging talents in the team.
- Bachelor's or Master's degree in a quantitative field such as mathematics, statistics, or related field
- 5 years of experience in data science or machine learning, demonstrating a capacity for translating complex business challenges into data-driven solutions.
- Robust experience with data manipulation and programming languages, including but not limited to SQL, Python, and R.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
- A solid foundation in a wide array of statistical methods and machine learning frameworks (e.g., TensorFlow, and PyTorch), with a keen eye for assessing model performance across various metrics.
- Commitment to best practices in MLOps, including documentation, testing, and version control, alongside proficiency in experimental design and hypothesis testing.
- Exceptional problem-solving abilities and quantitative aptitude.
- Excellent communication and interpersonal skills, with the ability to explain complex analytical concepts to non-technical stakeholders.
Job Summary
Contractor
$134k-166k (estimate)
03/25/2024
04/24/2024
The job skills required for Data Scientist include Data Science, Machine Learning, Insight, Algorithms, Data Analysis, Problem Solving, 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.
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