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Data Scientist - Financial Analytics, Mid-Level
Jobright.ai, San Francisco, California, United States, 94199
Data Scientist - Financial Analytics, Mid-Level
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Data Scientist - Financial Analytics, Mid-Level
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Jobright.ai Data Scientist - Financial Analytics, Mid-Level
1 day ago Be among the first 25 applicants Join to apply for the
Data Scientist - Financial Analytics, Mid-Level
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Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Rippling is a company that provides a unified platform for HR, IT, and Finance, streamlining workforce systems. The Data Scientist - Financial Analytics will be responsible for designing and maintaining services that process financial data and ensure accurate transaction settlements within Rippling's payments ecosystem. Responsibilities: • Collaborate cross-functionally with engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the Rippling payment platform. • Build full-cycle analyses using SQL, Python, or other scripting and statistical tools, and develop real-time metrics dashboards to manage key financial and operating levers of the business. • Monitor payment flows between systems, banks, processors, and inter-company accounts, perform daily account reconciliations, and follow up on any discrepancies. • React swiftly to emerging issues, summarize facts, and provide recommendations for the timely resolution of critical financial matters. • Collaborate with key stakeholders (Accounting, Compliance, Treasury, etc.) to understand business requirements and develop scalable solutions for reporting and reconciliation automation, including internal tool development and/or the implementation of third-party tools. • Develop and maintain comprehensive documentation of reconciliation processes and procedures. • Prepare and deliver data and reporting solutions supporting month-end close, regulatory & compliance reporting, and Internal and External Audit reporting. • Communicate findings and recommendations to stakeholders through clear and concise presentations and reports. • Create, maintain, and ensure the completeness and accuracy of reporting databases and dashboards, and collaborate with data engineering to implement, document, validate, and monitor our evolving data infrastructure. Qualifications: Required: • Master’s degree or Bachelor's degree in Computer Science, Engineering, Statistics, MIS or other quantitative fields • 5+ years demonstrated experience in applying statistical analysis, modeling, machine learning and/or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash financial reporting • Experience with data warehousing, ETL, and reporting tools (e.g. Snowflake, Tableau, dbt, Dagster) • Extensive experience with SQL, Python, or other scripting languages and their application to all phases of the data science development process (initial analysis and model development through deployment) • Experience working with engineering, finance, and accounting teams to assess their data needs and build automated reporting pipelines • Strong problem-solving and communication skills, with the ability to communicate findings and recommendations clearly to both technical and non-technical audiences • Ability to interface with multiple stakeholders and senior leadership (C-suite) across the organization Preferred: • Experience with general accounting principles • Experience with the general ledger close process • Experience with regulatory compliance Company: Rippling is a workforce management platform that unifies HR, IT, and finance operations into a single system. Founded in 2016, the company is headquartered in San Francisco, California, USA, with a team of 1001-5000 employees. The company is currently Late Stage. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Data Scientist jobs in
San Francisco, CA . San Francisco, CA $140,000.00-$170,000.00 3 days ago San Francisco, CA $140,000.00-$170,000.00 2 weeks ago San Francisco, CA $121,900.00-$161,600.00 4 days ago San Francisco, CA $255,000.00-$405,000.00 3 days ago San Francisco, CA $122,000.00-$167,000.00 5 days ago Machine Learning Engineer (I, II, or Sr.)
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Join to apply for the
Data Scientist - Financial Analytics, Mid-Level
role at
Jobright.ai Data Scientist - Financial Analytics, Mid-Level
1 day ago Be among the first 25 applicants Join to apply for the
Data Scientist - Financial Analytics, Mid-Level
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Rippling is a company that provides a unified platform for HR, IT, and Finance, streamlining workforce systems. The Data Scientist - Financial Analytics will be responsible for designing and maintaining services that process financial data and ensure accurate transaction settlements within Rippling's payments ecosystem. Responsibilities: • Collaborate cross-functionally with engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the Rippling payment platform. • Build full-cycle analyses using SQL, Python, or other scripting and statistical tools, and develop real-time metrics dashboards to manage key financial and operating levers of the business. • Monitor payment flows between systems, banks, processors, and inter-company accounts, perform daily account reconciliations, and follow up on any discrepancies. • React swiftly to emerging issues, summarize facts, and provide recommendations for the timely resolution of critical financial matters. • Collaborate with key stakeholders (Accounting, Compliance, Treasury, etc.) to understand business requirements and develop scalable solutions for reporting and reconciliation automation, including internal tool development and/or the implementation of third-party tools. • Develop and maintain comprehensive documentation of reconciliation processes and procedures. • Prepare and deliver data and reporting solutions supporting month-end close, regulatory & compliance reporting, and Internal and External Audit reporting. • Communicate findings and recommendations to stakeholders through clear and concise presentations and reports. • Create, maintain, and ensure the completeness and accuracy of reporting databases and dashboards, and collaborate with data engineering to implement, document, validate, and monitor our evolving data infrastructure. Qualifications: Required: • Master’s degree or Bachelor's degree in Computer Science, Engineering, Statistics, MIS or other quantitative fields • 5+ years demonstrated experience in applying statistical analysis, modeling, machine learning and/or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash financial reporting • Experience with data warehousing, ETL, and reporting tools (e.g. Snowflake, Tableau, dbt, Dagster) • Extensive experience with SQL, Python, or other scripting languages and their application to all phases of the data science development process (initial analysis and model development through deployment) • Experience working with engineering, finance, and accounting teams to assess their data needs and build automated reporting pipelines • Strong problem-solving and communication skills, with the ability to communicate findings and recommendations clearly to both technical and non-technical audiences • Ability to interface with multiple stakeholders and senior leadership (C-suite) across the organization Preferred: • Experience with general accounting principles • Experience with the general ledger close process • Experience with regulatory compliance Company: Rippling is a workforce management platform that unifies HR, IT, and finance operations into a single system. Founded in 2016, the company is headquartered in San Francisco, California, USA, with a team of 1001-5000 employees. The company is currently Late Stage. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Data Scientist jobs in
San Francisco, CA . San Francisco, CA $140,000.00-$170,000.00 3 days ago San Francisco, CA $140,000.00-$170,000.00 2 weeks ago San Francisco, CA $121,900.00-$161,600.00 4 days ago San Francisco, CA $255,000.00-$405,000.00 3 days ago San Francisco, CA $122,000.00-$167,000.00 5 days ago Machine Learning Engineer (I, II, or Sr.)
San Francisco, CA $190,000.00-$230,000.00 3 weeks ago San Francisco, CA $144,000.00-$192,000.00 3 weeks ago San Francisco, CA $85,000.00-$120,000.00 17 minutes ago South San Francisco, CA $54.00-$97.00 2 weeks ago San Bruno, CA $119,000.00-$169,000.00 2 months ago San Francisco, CA $115,000.00-$185,000.00 3 weeks ago Data Scientist II – Experimentation & Measurement
San Mateo, CA $153,300.00-$229,900.00 2 weeks ago San Francisco, CA $149,998.00-$250,000.00 6 days ago San Francisco County, CA $180,000.00-$250,000.00 19 hours ago San Francisco, CA $90,000.00-$150,000.00 1 month ago San Francisco, CA $152,000.00-$190,000.00 2 weeks ago San Francisco, CA $100,000.00-$200,000.00 7 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr