105 Data Scientist Jobs in San Francisco, CA
Ikasi is Hiring a Data Scientist Near San Francisco, CA
As a Data Scientist, you'll be integral in finding patterns and extracting valuable insights from large amounts of raw data.
Ikasi.ai is an innovative technology company specializing in artificial intelligence solutions. We are committed to building advanced AI technologies to solve real–world problems, streamline processes, and enhance the user experience in various industries.
Job SummaryAs a Data Scientist, you'll be integral in extracting valuable insights from large amounts of raw data, finding patterns, and extracting valuable business insights, and will:
Role Overview- Algorithm Development:
- Design and implement advanced data models and algorithms.
- Perform statistical analysis and predictive modeling to support various business needs.
- Continuously improve existing models based on evolving data sets and business requirements.
- Data Analysis & Insights:
- Conduct comprehensive data analysis to extract actionable insights.
- Develop and maintain dashboards and reports for internal teams, especially for sales and operations.
- Effectively communicate complex data concepts and insights to non–technical stakeholders.
- Collaborate with different teams (Sales, Engineering, Operations) to integrate data science into business processes.
- Use data insights to drive sales strategies.
- Analyze customer data to inform sales and marketing strategies.
- Leverage data insights in client pitches and presentations.
- Educate the sales team on leveraging data tools and insights.
- Operational Support:
- Work closely with the Data Operations team to ensure the smooth deployment of models.
- Provide existing client support in the execution of campaigns and ad–hoc enhancements.
- Monitor the performance of data science applications in production, making adjustments as necessary.
- Experience as a data scientist or data analyst
- 2 years with Data mining
- A clear understanding of machine learning and operations research
- Exceptional technical writing skills
- The ability to communicate complex data in a simple, actionable way
- Excellent attention to detail
- Proficiency in data science languages such as Python or R.
- Experience with SQL and database management.
- Familiarity with machine learning frameworks and statistical analysis methods.
- Experience in developing and deploying machine learning models.
- Competitive salary and equity options.
- Comprehensive health, dental, and vision insurance.
- Flexible working hours and remote work options.
- A dynamic and supportive work environment.
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Job Summary
Full Time
Business Services
$137k-168k (estimate)
07/27/2024
09/18/2024
The job skills required for Data Scientist include Data Science, Machine Learning, Python, Insight, 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 III 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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