82 Data Scientist Jobs in Seattle, WA
The Cypress Group is Hiring a Data Scientist Near Seattle, WA
About the role
We are looking for a Senior Data Scientist to join our team and play a crucial role in generating insights and supporting data-driven decision making across the organization. You will be responsible for researching, designing, developing, and implementing data science solutions to solve complex business problems.
What you will be doing
Develop and lead statistical and machine learning efforts in relation to your projects. Our projects leverage machine learning, experimentation, signal processing, time series analysis, geospatial analysis, natural language processing, and more.
Leverage large scale data processing such as Spark, Hive, and off-the-shelf systems.
Conduct original analyses to advise and influence product, engineering, and operations efforts. Communicate findings to stakeholders in a clear and concise way.
Partner with business stakeholders to understand their needs and translate those needs into data-driven solutions.
Develop and implement machine learning (ML) models to extract insights from data.
Analyze large datasets to identify trends, anomalies, and opportunities for improvement.
Participate in the development of data pipelines to ensure the quality and availability of data for analysis.
Stay up-to-date on the latest data science trends and technologies.
Identify opportunities to streamline data-related processes, enhance data quality, and improve efficiency in financial operations.
Propose and implement innovative solutions and best practices.
What you will need
A master’s in Statistics, Computer Science, Math, Physics or a related field.
2 years of relevant professional work experience in a data science or similar role.
Proven experience applying machine learning and statistical modeling techniques to solve real-world problems.
Strong programming skills in Python or R.
Excellent communication and cross-functional collaboration skills to thrive in a fast-paced environment.
Proven familiarity with code and programming concepts
Added bonus if you have
Typical qualifications for the role are 5 years of relevant professional experience or a combination of work experience and advanced education.
A PhD in Statistics, Computer Science, Math, Physics or a related field.
Proven ability to self-direct your technical work and scope projects effectively.
Experience as a data scientist at a company with global operations
Experience leading and mentoring junior engineers.
Excellent communication and collaboration skills to influence both technical and non-technical stakeholders.
Familiarity with statistical analysis, forecasting techniques, and data modeling.
Familiarity with financial concepts or fintech software.
Effective communication and collaboration skills, and a history of collaborating effectively with your team and cross-functional stakeholders.
A strong understanding of security best practices for building enterprise applications.
Job Summary
Full Time
$122k-150k (estimate)
06/25/2024
07/13/2024
cypresscharleston.com
CHARLESTON, SC
25 - 50
2001
TOM BARSELL
<$5M
Restaurants & Catering Services
Related Companies
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.
