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We are seeking a Senior Data Scientist interested in solving complex problems to support the creation of new data offerings and expansion of existing offerings. You will be on our data analytics / data science team and work with our product, data engineering, data science, and accounting teams to enable data-driven decision making. You will reconcile 3rd party data sources against internal assets at scale. You will implement data quality checks as accuracy matters. You will have an eye towards automation and process improvement. You will ideate and create solutions for our clients' data analytics needs, creating metrics, dashboards, reports, and alerts to provide stakeholders with actionable insights.
Create reports, dashboards, data feeds, workflows, and data APIs
Analyze data sources to determine appropriate methodologies
Reconcile internal data assets with 3rd party sources
Perform daily, weekly, and monthly validations to ensure data integrity
Support technical and non-technical stakeholders to understand Marqeta’s product performance via data
Data quality analysis, workflow management, respond to data inquiries
Identify and escalate risks or potential issues
Ask questions and communicate clearly and effectively with customers
5 years experience working with large data sets using SQL
Experience overlaying disparate data sources in reconciliation systems
Ability to partner and collaborate with cross-functional teams
Research new tools and methods to improve functionality and enhance productivity
Seeks and provides constructive feedback to team members & stakeholders
Experience with accounting, finance, or other FinTech products
Experience creating efficient tables in Snowflake
Experience with git, GitHub, and the pull request workflow
Experience building customer facing data solutions (such as through Tableau or Looker)
Full Time
IT Outsourcing & Consulting
07/04/2022
11/04/2022
marqeta.com
OAKLAND, CA
500 - 1,000
2010
JASON GARDNER
$50M - $200M
Software & Cloud Computing
Marqeta brings speed and efficiency to card issuing and payment processing with the world's first open API platform. Our platform was built from the ground up to power an innovative payment experience for many of the apps and services you enjoy daily. Today, Marqeta has 500+ employees and operates globally in the US, UK, EU, Canada and soon APAC. We have extensive partnerships with multiple banks and card networks including Visa, Mastercard & Discover and our solutions are used by innovators in digital banking, lending, e-commerce, on-demand services and more. We are proud of our Oakland roots... and strive to build a team as diverse as the markets we serve. Join us in reshaping the way payments are made.
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The job skills required for Senior Data Scientist include Data Science, SQL, Data Analytics, Tableau, 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.
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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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