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Kaiser Aluminium
Spokane, WA | Full Time
$103k-129k (estimate)
0 Months Ago
Data Scientist
Kaiser Aluminium Spokane, WA
$103k-129k (estimate)
Full Time 0 Months Ago
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Kaiser Aluminium is Hiring a Data Scientist Near Spokane, WA

Kaiser Aluminum is known around the world for its superior quality. Our secret is what we put into it—innovative thinking, industry-leading reliability, and a world-class commitment to customer service. In short, the same qualities we look for in our people. We are looking for a Data Scientist to join the Kaiser Aluminum team in Spokane Washington!

Must be a USA person (identified as US Citizen, US Permanent Resident (Green Card), any individual who is granted status as a “protected person” under 8 U.S.C. 1324b(a)(3).

Benefits

  • Salary range $82,000 to $109,000 depending on experience.
  • High deductible medical, dental, vision, and basic life insurance, including spouse and children (modest payroll deductions)
  • 10 paid holidays per year
  • Vacation (2-4 weeks depending on experience)
  • Supplemental leave (used in conjunction with Washington Paid Family & Medical Leave)
  • 401K with matching company funds
  • Quarterly bonus structure
  • Tuition reimbursement

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

Data Scientist is responsible for analysis, design, testing and implementation of existing and new applications and integrations. The ideal candidate will be a strong technical resource with the ability to understand, learn and master many different diverse technologies used across the enterprise, work with minimal supervision, and has ability to work closely with the business and technical resources.

ROLES AND RESPONSIBILITIES

  • Monitor, evaluate, and apply the advanced computing technologies and algorithms for the most sophistic data analytics to uncover insights and hidden variables, identify root causes and patterns, forecast outcomes, and provide data-drive solutions.
  • Conduct the low cost and high quality product and process improvement and optimization through the combination of advanced data analytics and ICME (Integrated Computational Material Science).
  • Production process data collection, high dimension large dataset multivariate analysis, classic and penalized regression predictive modelling, advanced neural-network and decision-tree based predictive modeling development and applications.
  • Develop general and challenge specific predictive modeling capabilities by using commercially available software and/or internal computational codes.
  • Design and development of alloys and processes for Aluminum products through advanced data analytics and ICME.
  • Provide guidance and mentorship supports for different levels of data analytics including the principle and limits of different analytical algorithms.
  • Provide support for Industry 4.0 initiatives.
  • Develop, define, and complete on-time assigned research & development chartered projects.
  • Support plant projects as directed.
  • Write technical reports summarizing work as well as presentations to peers on progress at continuous improvement meetings.
  • Perform metallurgical and structural analysis of aluminum products.
  • Work in cross-functional teams to develop process and production improvements.
  • 5S of assigned areas.

Job Summary

JOB TYPE

Full Time

SALARY

$103k-129k (estimate)

POST DATE

03/21/2023

EXPIRATION DATE

06/30/2023

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The job skills required for Data Scientist include Analysis, Insight, Algorithms, Presentation, Data Analytics, 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.

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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.

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