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Principal Data Scientist
MAGNIFY Seattle, WA
$137k-168k (estimate)
Full Time | IT Outsourcing & Consulting 3 Weeks Ago
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MAGNIFY is Hiring a Principal Data Scientist Near Seattle, WA

Magnify is the next-generation automation platform for the post-sales experience-- we grow revenue and reduce churn for software companies without adding headcount. Magnify identifies and orchestrates the next-best-step for software companies' users across all their digital customers, growing the 90% of revenue that comes after the initial sale.

Magnify uses machine learning along with a sophisticated orchestration engine to transform that experience to drive adoption, retention, and expansion for our customers. The opportunity is massive and untapped by current solutions.‍

Magnify's customers are enterprise software companies, usually used by the Chief Customer Officers and their organizations and/or the Growth Marketing teams.

Magnify is a fast-moving startup backed by top-tier investors including Madrona and Decibel, with a veteran leadership team.

The role

In this role, you will be responsible for:

* Working with a variety of data sources provided by Magnify's customers and leveraging these to build models that predict future revenue expansion and churn; identify drivers for key events in the customer lifecycle (renewal, expansion, cancellation, etc.); and enable accelerating product adoption and usage.

* Collecting and understanding customer needs, Magnify's vision, and stakeholder input to improve model accuracy and relevancy, and to develop new models and functionality to expand Magnify's products.

* Innovating and providing thought-leadership to the Magnify team around future data science and machine learning opportunities, including expanded use of generative AI.

* Partnering with the engineering team to build infrastructure that provides reliability, observability, and scalability to data science pipelines and model/product integrations.

Qualifications and Experience

Successful candidates are likely to have the following qualifications and experiences; we strongly encourage you to apply even if you don’t meet all of the items below.

* Masters in Computer Science or related field; PhD preferred.

* 7 years of experience working as a data scientist in a high growth, startup environment.

* Strong knowledge and hands-on experience across machine learning, causal inference, experimentation, product analytics, revenue analysis, statistics, and/or optimization.

* Ability and comfort operating with ambiguity in an early stage startup environment in which you may need to "bootstrap" data science infrastructure to complete projects.

* Strong communication skills, both written and verbal, and the ability to successfully engage across audiences of varying backgrounds and technical proficiencies.

* Passionate about delivering for users and collaborating with teammates.

* Have a strong bias for action, a track record of moving quickly, and the ability to identify where and when scrappiness is the right approach versus those places where deeper rigor is required.

Seattle-area preferred; This role is remote eligible within the United States.

No third parties / recruiters please.

\n\n

Magnify is a values driven culture, we aspire to be among the tech industry's most inclusive work environments. We are committed to diversity in our workforce and are a proud equal opportunity employer. We do not make hiring or employment decisions on the basis of race, color, religion, creed, gender, national origin, age, sex, gender expression or identity, sexual orientation, or disability status, marital status, or veteran status.

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$137k-168k (estimate)

POST DATE

08/17/2024

EXPIRATION DATE

10/16/2024

WEBSITE

thisismagnify.com

HEADQUARTERS

Chicago, IL

SIZE

<25

INDUSTRY

IT Outsourcing & Consulting

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The job skills required for Principal Data Scientist include Data Science, Machine Learning, Analysis, Computer Science, Leadership, Communication Skills, etc. Having related job skills and expertise will give you an advantage when applying to be a Principal 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 Principal 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 Principal Data Scientist positions, which can be used as a reference in future career path planning. As a Principal Data Scientist, it can be promoted into senior positions as a Data Scientist V that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Principal Data Scientist. You can explore the career advancement for a Principal Data Scientist below and select your interested title to get hiring information.

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

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Principal Data Scientist job description and responsibilities

The Principal Data Scientist acts as a technical consultant to Product Managers from different departments.

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Identifies business trends and problems through complex big data analysis.

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Data scientists clearly understand how to extract, understand, and analyze data.

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A data scientist uses data to understand and explain the phenomena around them, and help organizations make better decisions.

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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 Principal Data Scientist jobs

Experience manipulating large data sets through statistical software.

03/04/2022: Medford, OR

Data scientists need to be critical thinkers, to be able to apply objective analysis of facts on a given topic or problem before formulating opinions or rendering judgments.

02/17/2022: Santa Barbara, CA

Maintain clear and coherent communication, both verbal and written, to understand data needs and report results.

04/04/2022: Davenport, IA

Collaborate with partners and stakeholders to understand people-related business problems, and gathering relevant people data to analyze.

03/08/2022: Idaho Falls, ID

Understand the business question and clarify related data aspects, such as types of data to collect and time frame.

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