101 Data Scientist Jobs in San Francisco, CA
SynergisticIT is Hiring a Data Scientist Near San Francisco, CA
Synergistic IT is a full-service staffing and placement firm servicing client in America for the past 12 years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We Intend to deliver exceptional student outcome. We don't just help you secure a tech job but build a solid career in technology.
Job Description:
•Identify valuable data sources and automate collection processes
•Undertake preprocessing of structured and unstructured data
•Analyze large amounts of information to Client trends and patterns
•Present information using data visualization techniques
•Propose solutions and strategies to business challenges
•Required Knowledge of How to implement multiple plots
•Creating graph-Bar/Pie/Line chart
•Label encoding with merging
Education Requirement: -
•Bachelors in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred.
Skill Required-
•Ability to work with stakeholders to assess potential risks.
•Strong math skills (e.g., statistics, algebra).
•Experience in data mining
•Knowledge of R, SQL and Python; familiarity with Scala, Java or C is an asset
Benefits:
•On Job Technical support
•E- verified
•Full time position
Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry.
If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you
Job Summary
Full Time
$133k-164k (estimate)
04/27/2024
05/10/2024
synergisticit.com
FREMONT, CA
25 - 50
2010
J SINGH
<$5M
Business Services
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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.
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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
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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.
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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.
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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.
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Data scientists lay a solid foundation to help perform all kinds of analysis.
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Data scientists are also expected to have stronger software engineering skills that data analysts.
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Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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Step 3: View the best colleges and universities for Data Scientist.
