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Microsoft Corporation has the following job opportunity:
Manipulate large volumes of data, create new and improved techniques and/or solutions for data collection, management, and usage. Research and develop an understanding of tools, technologies, and methods that can be utilized to improve state-of-the-art technologies. May leverage Machine Learning (ML) or statistical modeling techniques to develop solutions to problems in the field of computer hardware or software and drive innovation. Develop, evaluate, and deploy software, algorithms, systems, or other data to improve products, system performance, quality, data management, and accuracy. Collaborate with cross-functional teams to promote digital transformation, which may include Artificial Intelligence or Automation, and develop applications and underlying support systems that allow users to do specific tasks. Develop and review designs and business requirements to analyze and streamline data. Telecommuting permitted less than 50%/week within same geographic location as assigned Microsoft office location.
Multiple job openings. Qualified candidates must meet the minimum requirements for the position. Microsoft Corporation is an equal opportunity employer.
The offered base pay range for this specific position (V12651970), in Mountain View, CA, is $170,186 to $200,186 per year.
Microsoft has different base pay ranges for different work locations within the United States, which allows us to pay employees competitively and consistently in different geographic markets. Individual base pay depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time.
At Microsoft certain roles are eligible for additional rewards, including merit increases, annual bonus, and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. Benefits/perks listed may vary depending on the nature of employment with Microsoft and the country work location. U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others. U.S.-based employees also receive, per calendar year, up to 10 scheduled paid holidays, and up to 80 hours Holistic Health Time Off. Additionally, hourly/non-exempt employees accrue up to 120 hours paid vacation time, and salaried/exempt employees have Discretionary Time Off (DTO).
Full time employment; multiple positions open.
Other
$135k-166k (estimate)
02/25/2024
08/23/2024
The job skills required for Data Scientist include Data Science, Machine Learning, Python, Algorithms, Computer Science, Data Analysis, 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.