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Founded in 2020 by a team of leaders from Braintree, PayPal, and Lending Club, Highnote is an all in one card issuer processor and program management platform. We give digital-first organizations the flexibility to easily issue and process payment cards that accelerate business growth and profitability.
We’ve raised $104M and grown our team to 100 employees. Headquartered in San Francisco, we’ve managed to build one of the most advanced payments teams in the industry, with team members in 22 US states.
Operating through our core values of customer obsession, executional excellence, intentional inclusion, we’re helping businesses grow for the future by creating the payment products demanded by tomorrow, with the ability to solve for use cases that don’t exist yet.
We are fast-moving, hands-on, and strongly believe everyone deserves a seat at the table. We believe we’re unlocking incredible opportunities that can change the future of payments, as long as we have the right people to make it happen.
Highnote is seeking a Data Scientist to drive analytics-based, actionable insights to enable our operations and product team to better serve our customers.
Highnote benefits
Please note that positions located in San Francisco are hybrid and include core working days of Tuesday, Wednesday, Thursday in office. We provide flexible work options based on distance from our downtown SF office. Highnote believes in the power of face-to-face, personal connection. As a result, we prioritize in-person candidates.
Highnote is a diverse and inclusive company committed to growing a diverse and inclusive team. We invite people from all backgrounds and identities to apply. We do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other characteristics protected by US federal state or local laws, or the laws of the country or jurisdiction where you work. Additionally, we encourage everyone to share which pronouns you wish for us to use when addressing you (i.e.: she/her, he/him, they/them, etc).
Full Time
$113k-139k (estimate)
04/16/2023
04/09/2024
gohighnote.com
Jeffersontown, KY
<25
The job skills required for Senior Data Scientist include Data Science, Machine Learning, Insight, Algorithms, Data Analysis, Futures, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior 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 Senior Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior Data Scientist positions, which can be used as a reference in future career path planning. As a Senior 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 Senior Data Scientist. You can explore the career advancement for a Senior Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Senior 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 Senior Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Scientist job description and responsibilities
Senior Data Scientists rae responsible in formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
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Collating and cleaning data from various entities for later use by junior data scientists.
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Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
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They also monitor the performance of Junior Data Scientists and providing them with practical guidance, as needed.
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May also be tasked in selecting and employing advanced statistical procedures to obtain actionable insights.
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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 Senior Data Scientist jobs
Present final result to stakeholders. Make adjustments based on feedback.
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Learn the required skills to become a data scientist.
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Review additional data scientist certifications and post-graduate learning.
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Ask the right questions to begin the discovery process.
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Choose one or more potential models and algorithms.
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Step 3: View the best colleges and universities for Senior Data Scientist.