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Data Scientist
Stackline Seattle, WA
$118k-145k (estimate)
Full Time | Telecommunications 7 Months Ago
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Stackline is Hiring a Data Scientist Near Seattle, WA

About The Role:

Stackline is on a mission to fuel the future of commerce by bringing brands and customers closer together. Come join us on this incredible adventure!

Ready to embark on your next big adventure? Join us as a Data Scientist at Stackline where you will thrive in our dynamic, team-oriented atmosphere, contributing your skills to develop practice Machine Learning solutions. This role involves delving into vast data pipelines, analyzing over a billion data points each week, and collaborating closely with Data Engineers, Software Engineers, and Product Management team. This hands-on analytical position requires not only your coding expertise, but also your dedication to architecting, developing, and testing innovative models that make a tangible difference. If you’re ready to make a meaningful impact, apply now to be part of our exciting journey!

What You Will Do
  • Develop, test, and deploy Large Language Models or Large Multimodal Models across multiple company products.
  • Independently create innovative Machine Learning pipelines and collaborate with leadership and stakeholders to test and validate data outputs.
  • Provide prompt and accurate responses to both internal and external inquiries about our datasets and models.
  • Apply technical proficiency to process complex and intricate datasets, establish quality control procedures, and derive actionable insights.
  • Utilize data effectively to extract insights and devise innovative strategies, offering actionable recommendations to stakeholders in data science, engineering, and product teams.
  • Collaborate with cross-functional teams to identify new opportunities requiring the application of modern data science and Machine Learning techniques.
  • Design and implement innovative models and experiments using cutting edge analytical, mathematical, and machine learning methods to drive growth in new company domains.
  • Document data sources and processes for data analysis and modeling.

Who We Are Looking For

  • Masters in Mathematics, Physics, Computer Science, Engineering, or another technical field.
  • 3 years of direct industry work experience in one or more of the following areas: data science, data analytics or data engineering.
  • 3 years of experience with Machine Learning, statistics and probability, algorithm development, and data analytics.
  • Hands on experience with Large Language Models (LLMs) or Large Multimodal Models (LMMs).
  • Strong proficiency with programming and querying languages like Python and SQL.
  • Experience deploying solutions at scale after prototyping.
  • Demonstrated experience in Machine Learning tools such as Tensorflow,PyTorch, Spark ML, or related frameworks.
  • Experience with distributed version control (e.g. git).

.Bonus Points If You Have

  • Prior experience with big data technologies such as Hadoop or Spark.
  • Demonstrated experience designing and building new ideas, working closely with technical teams from concept generation through implementation.
  • D.‍ in Engineering, Physics, Mathematics, Computer Science, or another technical field.
  • Experience working in a startup, retail, digital advertising, or e-commerce environment.

 Benefits and Perks: 

It’s important that each and every employee feels they are supported and can complete their life’s best work today and in the future. As part of that, we are committed to doing our part in addressing pay gaps and discrepancies by providing pay transparency for all of our roles. Actual salaries are just one component of the compensation package and may vary above or below the range based on job-related knowledge, skills, experience, geographical location, and performance. The pay range for this position located in Seattle is $160,000 - $180,000 per year. Other rewards may include annual bonuses, short- and long-term incentives, and other team-specific awards. In addition we provide a robust benefits and perks package that includes:

  • Comprehensive benefits plan covering medical, dental, and vision
  • Fertility benefits
  • Company 401k plan plus matching
  • Company paid Life Insurance
  • 20 days of Paid Time Off annually
  • 9 Paid company holidays
  • 100% Paid Parental leave - 20 weeks for birthing mothers and 12 weeks for all other parents
  • Summer Fridays early close at 2pm
  • Fully stocked kitchen snacks with weekly fresh fruit

Job Summary

JOB TYPE

Full Time

INDUSTRY

Telecommunications

SALARY

$118k-145k (estimate)

POST DATE

09/08/2022

EXPIRATION DATE

04/10/2024

WEBSITE

stackline.com

HEADQUARTERS

SEATTLE, WA

SIZE

100 - 200

FOUNDED

2013

TYPE

Private

CEO

MICHAEL LAGONI

REVENUE

<$5M

INDUSTRY

Telecommunications

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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.

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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 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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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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