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Join Credit Karma as a Staff Data Scientist - Data Science Ops, where you'll champion operational excellence across organizations, driving AI-powered innovation and collaboration. With a deep understanding of data science and machine learning workflows, you'll build and lead by example, fostering a culture of operational excellence. This highly cross-functional role requires strong partnerships with engineering, product, business, finance, and analytics teams, as well as mentorship skills, accountability, and the ability to navigate fast-paced environments with agility and poise.
What You’ll Do:
Minimum Basic Requirement:
Preferred Qualifications:
Full Time
Business Services
$117k-144k (estimate)
02/01/2024
07/30/2024
creditkarma.com
SELINSGROVE, PA
500 - 1,000
2007
DAVID VERDERAME
$50M - $200M
Business Services
Credit Karma is focused on championing financial progress for over 110 million members in the U.S., Canada and U.K. While we're best known for pioneering free credit scores, our members turn to us for resources as they work toward their financial goals. This includes tools for credit and identity monitoring, credit card recommendations, shopping for loans (car, home and personal), growing their savings* and filing their taxes with Credit Karma Tax -- all for free. Weve grown significantly through the years, adding more than 70 million members in the last five alone. We currently have more than... 1,300 employees spread across offices in San Francisco, Charlotte, Los Angeles, Leeds, London and one coming soon to Oakland. Disrupting the financial industry is not an easy task. Thats why we know its one worth doing. Our core values of helpfulness, ownership, progress and empathy guide our work and our relationships. Championing financial progress for everyone is a big mission that requires passionate people working together to make a difference in the world. If youre up for the task, wed love to have you on our team. Check out our open positions: https://www.creditkarma.com/careers. *Banking services provided by MVB Bank, Inc., Member FDIC
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The job skills required for Staff Data Scientist include Data Science, Machine Learning, Python, SQL, Computer Science, Problem Solving, etc. Having related job skills and expertise will give you an advantage when applying to be a Staff 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 Staff Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Staff Data Scientist positions, which can be used as a reference in future career path planning. As a Staff 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 Staff Data Scientist. You can explore the career advancement for a Staff Data Scientist below and select your interested title to get hiring information.
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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 scientists are big data wranglers, gathering and analyzing large sets of structured and unstructured data.
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These professionals are tasked with developing statistical learning models for data analysis and must have experience using statistical tools.
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They may also be tasked with exploring data without a specific problem to solve.
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Data scientists tend to work with data analytics programs and algorithms to extract meaning from data, often using high performance computers to do so.
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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 Staff Data Scientist jobs
Data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems.
03/29/2022: Jackson, MS
A data scientist’s role combines computer science, statistics, and mathematics.
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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.
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A data scientist needs to have experience but also have the ability to suspend belief.
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A data scientist not only has to be able to understand the databases for himself, but also to be able to help others understand them.
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