Open Positions

Data Scientist

Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!

Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success. Our current Data Scientists summarize some of their favorite aspects of our team as:

  • Having a direct impact on the company's success
  • Collaborative, intelligent, and open team
  • Mentorship, growth, and friendship
  • Leader committed to challenging and growing team members
  • Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not

We need thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.

Requirements:

  • Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
  • Rigorous quantitative background
  • Comfort with programming (ideally in Python and R)
  • Intellectual curiosity balanced with humility
  • Predictive modeling experience is preferred

 

Apply Now
Data Scientist - Machine Learning / Deep Learning Specialist

Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!

Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success. Our current Data Scientists summarize some of their favorite aspects of our team as:

  • Having a direct impact on the company's success
  • Collaborative, intelligent, and open team
  • Mentorship, growth, and friendship
  • Leader committed to challenging and growing team members
  • Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not

We are looking for a machine learning/deep learning specialist that enjoys working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.

Requirements:

  • Solid grasp of the math of machine learning -- you should be comfortable thinking about optimization functions, linear algebra, etc. as we develop custom learning algorithms
  • Proficient at programming in Python or R
  • Fluency in data manipulation (SQL, Spark, Pandas)
  • Experience with machine learning tools such as scikit-learn, XGBoost, and Keras/Tensorflow
  • Familiarity with CNNs, RNN, LSTMs, and the latest research trends
  • 2+ years professional experience developing and implementing machine learning models
  •  M.S. in Computer Science, Applied Mathematics, or related field; Ph.D. preferred

Applying to a Data Science role at Upstart:

Please apply through our website and only apply to the one position that is the best fit with your skills.

If you have applied within the past year, there is no need to apply again. We're currently reviewing all previous applications. We also consider candidates for all levels of Data Science roles when candidates apply. 

Apply Now
Data Scientist - Machine Learning / Deep Learning Specialist

Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!

Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success. Our current Data Scientists summarize some of their favorite aspects of our team as:

  • Having a direct impact on the company's success
  • Collaborative, intelligent, and open team
  • Mentorship, growth, and friendship
  • Leader committed to challenging and growing team members
  • Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not

We are looking for a machine learning/deep learning specialist that enjoys working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.

Requirements:

  • Solid grasp of the math of machine learning -- you should be comfortable thinking about optimization functions, linear algebra, etc. as we develop custom learning algorithms
  • Proficient at programming in Python or R
  • Fluency in data manipulation (SQL, Spark, Pandas)
  • Experience with machine learning tools such as scikit-learn, XGBoost, and Keras/Tensorflow
  • Familiarity with CNNs, RNN, LSTMs, and the latest research trends
  • 2+ years professional experience developing and implementing machine learning models
  •  
    M.S. in Computer Science, Applied Mathematics, or related field; Ph.D. preferred

Applying to a Data Science role at Upstart:

Please apply through our website and only apply to the one position that is the best fit with your skills.

If you have applied within the past year, there is no need to apply again. We're currently reviewing all previous applications. We also consider candidates for all levels of Data Science roles when candidates apply. 

Apply Now
Data Scientist - Statistical Modeling Specialist

Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!

Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success. Our current Data Scientists summarize some of their favorite aspects of our team as:

  • Having a direct impact on the company's success
  • Collaborative, intelligent, and open team
  • Mentorship, growth, and friendship
  • Leader committed to challenging and growing team members
  • Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not

We are looking for a statistical modeling specialist that enjoys working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.

Requirements:

  • Published research in high-quality statistical journal(s) with a preference for one of the following topics: missing data, survival analysis, consumer credit risk
  • Expertise in predictive modeling and inference using GLMs, longitudinal, mixed-effects, and time-series models, among others
  • Comfort designing experiments using A/B testing and multi-armed bandits
  • Familiarity with schemes for data imputation and the appropriateness of each when data is missing completely, missing at random, and missing not at random
  • 3+ years academic or professional experience in statistical research
  •  M.S. in Statistics or related field; Ph.D. strongly preferred

Applying to a Data Science role at Upstart:

Please apply through our website and only apply to the one position that is the best fit with your skills.

If you have applied within the past year, there is no need to apply again. We're currently reviewing all previous applications. We also consider candidates for all levels of Data Science roles when candidates apply. 

Apply Now
Data Scientist - Statistical Modeling Specialist

Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!

Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success. Our current Data Scientists summarize some of their favorite aspects of our team as:

  • Having a direct impact on the company's success
  • Collaborative, intelligent, and open team
  • Mentorship, growth, and friendship
  • Leader committed to challenging and growing team members
  • Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not

We are looking for a statistical modeling specialist that enjoys working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.

Requirements:

  • Published research in high-quality statistical journal(s) with a preference for one of the following topics: missing data, survival analysis, consumer credit risk
  • Expertise in predictive modeling and inference using GLMs, longitudinal, mixed-effects, and time-series models, among others
  • Comfort designing experiments using A/B testing and multi-armed bandits
  • Familiarity with schemes for data imputation and the appropriateness of each when data is missing completely, missing at random, and missing not at random
  • 3+ years academic or professional experience in statistical research
  •  M.S. in Statistics or related field; Ph.D. strongly preferred

Applying to a Data Science role at Upstart:

Please apply through our website and only apply to the one position that is the best fit with your skills.

If you have applied within the past year, there is no need to apply again. We're currently reviewing all previous applications. We also consider candidates for all levels of Data Science roles when candidates apply. 

Apply Now
Machine Learning Engineer

Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!

Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success. Our current Data Scientist team summarize some of their favorite aspects of our team as:

  • Having a direct impact on the company's success
  • Collaborative, intelligent, and open team
  • Mentorship, growth, and friendship
  • Leader committed to challenging and growing team members
  • Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not

We are looking for a Machine Learning Engineer that enjoys working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.

Requirements:

  • Experience in productionalizing, deploying, and training machine learning models (we use python and sklearn, but experience in any language is valuable)
  • Interest in helping other data scientists improve code quality in addition to conducting independent analyses
  • Experience optimizing models for memory and speed
  • Knowledge of machine learning and statistics or a strong desire to learn
  • 2+ years of professional experience as a data scientist or software engineer

Applying to a role on the Data Science team at Upstart:

Please apply through our website and only apply to the one position that is the best fit with your skills.

If you have applied within the past year, there is no need to apply again. We're currently reviewing all previous applications. We also consider candidates for all levels of Data Science roles when candidates apply. 

Apply Now