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STOITECH
Seattle, WA | Full Time
$136k-177k (estimate)
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STOITECH
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Data Scientist (In-Office)
STOITECH Seattle, WA
$136k-177k (estimate)
Full Time 5 Days Ago
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STOITECH is Hiring a Data Scientist (In-Office) Near Seattle, WA

Are you passionate about using data science to improve people's lives?Our client is a growing FinTech startup (Series A funded, ~50 employees) building innovative products that empower everyday consumers to manage their finances. Join their mission-driven Data Science team and make a tangible impact!

What You'll Do:

  • Leverage your expertise in data sciencedeep learning, and neural networks to unlock valuable insights from our extensive datasets.
  • Develop and refine impactful models that address critical business needs, such as user growth, fraud detection, and risk management.
  • Collaborate closely with product managers and engineers to translate models into real-world data products.
  • Effectively communicate findings to both technical and non-technical audiences.
  • Play a vital role in the growth and development of our Data Science function.

Why You'll Love It Here:

  • Fast-paced, high-growth environment: Make a real impact on a growing startup.
  • Exceptional learning & development: Work alongside experienced data scientists and hone your skills.
  • Meaningful work: Apply your expertise to build models that improve people's financial well-being.
  • State-of-the-art data infrastructure: Leverage clean, well-organized datasets and advanced tooling.

Who You Are:

  • Master's degree or PhD in Computer SciencePhysicsMathematicsEngineering, or a related field.
  • 3 years of hands-on experience in data sciencedeep learning, and neural networks.Proficiency in PythonR, or Scala.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Passion for learning and building innovative models.

Ready to Make a Difference?

If you're a data science rockstar who thrives in a collaborative environment and wants to use your skills for good, we want to hear from you!

Please note: This is a full-time, in-office position in Seattle, WA, or San Francisco, CA.

Job Summary

JOB TYPE

Full Time

SALARY

$136k-177k (estimate)

POST DATE

05/10/2024

EXPIRATION DATE

07/09/2024

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The job skills required for Data Scientist (In-Office) include Data Science, Python, Insight, Computer Science, Problem Solving, Deep Learning, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist (In-Office). 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 (In-Office). 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 (In-Office) positions, which can be used as a reference in future career path planning. As a Data Scientist (In-Office), 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 (In-Office). You can explore the career advancement for a Data Scientist (In-Office) below and select your interested title to get hiring information.

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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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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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