Middesk
Data Scientist, Algorithms
Middesk, San Francisco, California, United States, 94199
About Middesk
Middesk's mission is to accelerate the economy by scaling trust between businesses. We believe that if we can make it easy for a business to access financial products, hire new employees, and transact with other businesses, that we increase the odds of success for that business to contribute to its community and the broader economy.Our Business Verification product provides accurate, complete information that financial services companies need to make efficient onboarding decisions. Our Entity Management product makes it easy for employers to file with the state and federal agencies needed to establish their business across the country. Our customers include Affirm, Brex, Plaid, Mercury, Divvy, Rippling, Gusto, and others.Based in San Francisco and NYC, Middesk is backed by Sequoia Capital, Accel Partners, and Y Combinator.Your Role and Opportunity
Middesk’s mission is to make it seamless for all businesses (especially small-medium businesses) to get access to the B2B products and services they need to succeed. Data Science plays a critical role in building
Data Products
that power our core products and inform strategic decisions to advance that mission.Data Products include, but are not limited to, data models and ETL pipelines, reporting dashboards, business and product impact sizing, decision/ROI/trade-off frameworks, ML-based classification/lead scoring models.As one of the founding Data Scientists, we are looking for an individual to grow, develop, and define what the "data scientist" role will look like at Middesk for the years to come.
You will have the opportunity to both build and lead.This role will be primarily responsible for leading and building algorithm-powered Data Products, with our Data Science and Foundation Engineering teams, that our customers use to inform/productionize their most critical decisions. This role will report to the Data Science Lead.What You Will Achieve
As one of the founding Data Scientists, you will get your hands dirty in building the most impactful Data Products that our customers and internal teams need to inform/productionize their most critical decisions:You will design and implement strategies to improve data coverage and match rates, our ability to match addresses and business names, for our Business Verification product. This involves improving our core Entity Resolution system among other initiatives.You will design and implement strategies to automate more of our Business Verification product delivery and get results back to customers faster with more efficiency and accuracy. This involves improving our index search algorithms among other initiatives.You will design and implement strategies to build proprietary datasets that will differentiate our Business Verification product and unlock new customer use cases.You will help develop and execute against the longer-term Data Science roadmap. This involves advancing our experimentation framework, data/insights accessibility, and tooling.You will be an important part of building out a function from 0 to 1 and influence its culture, processes, and identity within the broader organization.Experience that would help you succeed
(Note, we don't expect you to spike in all aspects, but to grow there in time):Ability to deliver Data Products end-to-endTop-notch analytical skills to go deep, break down, and solve complex, ambiguous problemsTechnically proficient in uncovering insights and building data products that leverage those insightsProven ability to collaborate cross-functionallyExcellent written and oral communication skillsFull-stack Data Scientist with domain expertise in Algorithms/ML but can stretch across Analytics and Analytics Engineering domains when neededGreat business judgement and able to prioritize initiatives effectivelyExercise effective team leadership by raising the bar with an intrinsic motivation to do one’s best work for our customers; you care about winning with the team and are able to chart the path to get there.Qualities that we are looking for
Customer-centricity. Ruthlessly prioritizes what the customer (both internal and external) needs, and not whatever is deemed to be “technically interesting” or flashy.Owner mindset. Does whatever it takes to drive impact, even if that means doing things which are typically not expected of a DS in another company.Analytical integrity. Seeks and effectively communicates the truth, even when it’s uncomfortable and hard to convince the stakeholders.Why You’ll Love Working Here
Curiosity to go deep: We are all working to get better at our craft. We don't expect you to be perfect day #1; you can share our appetite for constant learning and improvement.Moving forward together: We're in this together, you will always have the support of your leaders and peers. We achieve our results as a team... and celebrate as a team!Personal and professional development: We're early in our journey, which means that there is an opportunity to learn how each piece of our business works. Whether you're looking to understand how product management, fundraising, or hiring works, you can be sure that we'll be able to position work to help you develop in these areas.Middesk is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Middesk is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.We are committed to providing a positive interview experience for every candidate. If any accommodations are needed during the interview process, please let us know by contacting
careers@middesk.com .
#J-18808-Ljbffr
Middesk's mission is to accelerate the economy by scaling trust between businesses. We believe that if we can make it easy for a business to access financial products, hire new employees, and transact with other businesses, that we increase the odds of success for that business to contribute to its community and the broader economy.Our Business Verification product provides accurate, complete information that financial services companies need to make efficient onboarding decisions. Our Entity Management product makes it easy for employers to file with the state and federal agencies needed to establish their business across the country. Our customers include Affirm, Brex, Plaid, Mercury, Divvy, Rippling, Gusto, and others.Based in San Francisco and NYC, Middesk is backed by Sequoia Capital, Accel Partners, and Y Combinator.Your Role and Opportunity
Middesk’s mission is to make it seamless for all businesses (especially small-medium businesses) to get access to the B2B products and services they need to succeed. Data Science plays a critical role in building
Data Products
that power our core products and inform strategic decisions to advance that mission.Data Products include, but are not limited to, data models and ETL pipelines, reporting dashboards, business and product impact sizing, decision/ROI/trade-off frameworks, ML-based classification/lead scoring models.As one of the founding Data Scientists, we are looking for an individual to grow, develop, and define what the "data scientist" role will look like at Middesk for the years to come.
You will have the opportunity to both build and lead.This role will be primarily responsible for leading and building algorithm-powered Data Products, with our Data Science and Foundation Engineering teams, that our customers use to inform/productionize their most critical decisions. This role will report to the Data Science Lead.What You Will Achieve
As one of the founding Data Scientists, you will get your hands dirty in building the most impactful Data Products that our customers and internal teams need to inform/productionize their most critical decisions:You will design and implement strategies to improve data coverage and match rates, our ability to match addresses and business names, for our Business Verification product. This involves improving our core Entity Resolution system among other initiatives.You will design and implement strategies to automate more of our Business Verification product delivery and get results back to customers faster with more efficiency and accuracy. This involves improving our index search algorithms among other initiatives.You will design and implement strategies to build proprietary datasets that will differentiate our Business Verification product and unlock new customer use cases.You will help develop and execute against the longer-term Data Science roadmap. This involves advancing our experimentation framework, data/insights accessibility, and tooling.You will be an important part of building out a function from 0 to 1 and influence its culture, processes, and identity within the broader organization.Experience that would help you succeed
(Note, we don't expect you to spike in all aspects, but to grow there in time):Ability to deliver Data Products end-to-endTop-notch analytical skills to go deep, break down, and solve complex, ambiguous problemsTechnically proficient in uncovering insights and building data products that leverage those insightsProven ability to collaborate cross-functionallyExcellent written and oral communication skillsFull-stack Data Scientist with domain expertise in Algorithms/ML but can stretch across Analytics and Analytics Engineering domains when neededGreat business judgement and able to prioritize initiatives effectivelyExercise effective team leadership by raising the bar with an intrinsic motivation to do one’s best work for our customers; you care about winning with the team and are able to chart the path to get there.Qualities that we are looking for
Customer-centricity. Ruthlessly prioritizes what the customer (both internal and external) needs, and not whatever is deemed to be “technically interesting” or flashy.Owner mindset. Does whatever it takes to drive impact, even if that means doing things which are typically not expected of a DS in another company.Analytical integrity. Seeks and effectively communicates the truth, even when it’s uncomfortable and hard to convince the stakeholders.Why You’ll Love Working Here
Curiosity to go deep: We are all working to get better at our craft. We don't expect you to be perfect day #1; you can share our appetite for constant learning and improvement.Moving forward together: We're in this together, you will always have the support of your leaders and peers. We achieve our results as a team... and celebrate as a team!Personal and professional development: We're early in our journey, which means that there is an opportunity to learn how each piece of our business works. Whether you're looking to understand how product management, fundraising, or hiring works, you can be sure that we'll be able to position work to help you develop in these areas.Middesk is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Middesk is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.We are committed to providing a positive interview experience for every candidate. If any accommodations are needed during the interview process, please let us know by contacting
careers@middesk.com .
#J-18808-Ljbffr