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4 Staff Data Scientist (multiple positions) Jobs in Bothell, WA

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AlienVault
Bothell, WA | Full Time
$165k-201k (estimate)
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GE Vernova
Bothell, WA | Full Time
$120k-147k (estimate)
1 Month Ago
Cepheid
Bothell, WA | Full Time
$119k-147k (estimate)
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GE Corporate
Bothell, WA | Other
$104k-128k (estimate)
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Staff Data Scientist (multiple positions)
GE Vernova Bothell, WA
$120k-147k (estimate)
Full Time 1 Month Ago
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GE Vernova is Hiring a Staff Data Scientist (multiple positions) Near Bothell, WA

Job Description SummaryJob DescriptionEssential Functions / ResponsibilitiesGE Energy Management Services LLC seeks Staff Data Scientist (multiple positions) to contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets; Be part of a data science or cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets; These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units; Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization; Work with customers to capture data and analytics requirements; Develop, verify, and validate analytics to address customer needs and opportunities; Work alongside software developers and software engineers to translate algorithms into commercially viable products and services; Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics; Perform exploratory and targeted data analyses using descriptive statistics and other methods; Work with data engineers on data quality assessment, data cleansing and data analytics; Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes; Communicate methods, findings, and hypotheses with stakeholders.
Qualifications / RequirementsPosition requires a Bachelor’s degree, or foreign degree equivalent, in Computer Science or “STEM” Majors (Science, Technology, Engineering or Math) 6 years of progressively responsible experience in Data Science or Engineering occupation. In the alternative, position requires a Master’s degree, or foreign degree equivalent, in Computer Science or “STEM” Majors (Science, Technology, Engineering or Math) 3 years of experience in Data Science or Engineering occupation. The position also requires 3 years of experience with feature extraction and real time analytics development and deployment, 3 years of experience with prescriptive analytics and analytic prototyping, 3 years’ experience with one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python), 2 years’ experience with data cleansing, data quality assessment, and using analytics for data assessment, 2 years’ experience in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets, and 2 years’ experience with data visualization and storytelling for an audience of stakeholders.
The salary range for this position is $174,200.00 - $215,280.00. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience and their education.
Available health and welfare benefits include healthcare, prescription drug, dental, and vision coverage; savings account options (such as a Health Care Flexible Savings Account, Health Reimbursement Account, Limited Purpose Flexible Spending Account, and Dependent Care Flexible Spending Account); and an employee assistance program. Additional benefits include a defined contribution 401(k) plan, employee life insurance, optional dependent life insurance, employee accidental death or dismemberment insurance coverage, salary continuance program benefits for disability, optional long-term disability, paid holidays, paid time off, tuition reimbursement program, adoption assistance, optional identity theft prevention insurance, and optional personal excess liability insurance. GE will only employ those who are legally authorized to work in the United States for this opening.
100% remote position. Telecommuting is permitted. When not telecommuting, must report into offices at 19015 North Creek Parkway, Bothell, WA 98011.

Job Summary

JOB TYPE

Full Time

SALARY

$120k-147k (estimate)

POST DATE

05/18/2024

EXPIRATION DATE

07/06/2024

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The job skills required for Staff Data Scientist (multiple positions) include Data Science, Machine Learning, Python, Algorithms, Computer Science, SAS, etc. Having related job skills and expertise will give you an advantage when applying to be a Staff Data Scientist (multiple positions). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Staff Data Scientist (multiple positions). Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Staff Data Scientist (multiple positions) positions, which can be used as a reference in future career path planning. As a Staff Data Scientist (multiple positions), 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 Staff Data Scientist (multiple positions). You can explore the career advancement for a Staff Data Scientist (multiple positions) below and select your interested title to get hiring information.

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If you are interested in becoming a Staff 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 Staff Data Scientist for your reference.

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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 big data wranglers, gathering and analyzing large sets of structured and unstructured data.

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These professionals are tasked with developing statistical learning models for data analysis and must have experience using statistical tools.

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They may also be tasked with exploring data without a specific problem to solve.

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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 Staff Data Scientist jobs

Data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems.

03/29/2022: Jackson, MS

A data scientist’s role combines computer science, statistics, and mathematics.

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A data scientist not only has to be able to understand the databases for himself, but also to be able to help others understand them.

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Step 3: View the best colleges and universities for Staff Data Scientist.

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