Energy Jobline ZR
Sr. Staff Data Scientist, Machine Learning in Charlotte
Energy Jobline ZR, Charlotte, North Carolina, United States, 28245
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We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job DescriptionJob DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. Each member of the Data team plays an integral part of what we are building at Varo. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!What you'll be doing
Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance
Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Understand and apply proper risk framework to your analysis and modeling.
Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions
Collaborate cross functionally to implement models and monitor outcomes
You'll bring the following required skills and experiences
7+ years of experience in Analytics, Data Science or Data Engineering as an individual contributor
An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc
Credit and / or Fraud Risk modeling experience in consumer finance is nice to have
Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions
Experienced in using Python for analysis and modeling
Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks
Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.)
Excellent cross-functional communication skills
Ability to thrive in a fast-paced environment
For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $210,000 - $280,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits.We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you’re excited about the opportunity and willing to learn, we’d love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We’re a new kind of bank – all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a bank charter in 2020, we make financial and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - https://www.facebook.com/varomoneyInstagram - www.instagram.com/varobankLinkedIn - https://www.linkedin.com/company/varobank Varo is an equal opportunity employer. Varo embraces and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to , , , , , , , veteran or status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo.
If you suspect you have received a phony offer, please e-mail careers@varomoney.com with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants:
https://www.varomoney.com/privacy-legal/
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job DescriptionJob DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. Each member of the Data team plays an integral part of what we are building at Varo. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!What you'll be doing
Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance
Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Understand and apply proper risk framework to your analysis and modeling.
Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions
Collaborate cross functionally to implement models and monitor outcomes
You'll bring the following required skills and experiences
7+ years of experience in Analytics, Data Science or Data Engineering as an individual contributor
An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc
Credit and / or Fraud Risk modeling experience in consumer finance is nice to have
Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions
Experienced in using Python for analysis and modeling
Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks
Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.)
Excellent cross-functional communication skills
Ability to thrive in a fast-paced environment
For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $210,000 - $280,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits.We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you’re excited about the opportunity and willing to learn, we’d love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We’re a new kind of bank – all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a bank charter in 2020, we make financial and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - https://www.facebook.com/varomoneyInstagram - www.instagram.com/varobankLinkedIn - https://www.linkedin.com/company/varobank Varo is an equal opportunity employer. Varo embraces and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to , , , , , , , veteran or status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo.
If you suspect you have received a phony offer, please e-mail careers@varomoney.com with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants:
https://www.varomoney.com/privacy-legal/
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.