Senior Product Data Scientist, Built Technologies

$145-175k

+ Equity

SQL
Python
Tableau
Looker
NumPy
Pandas
Snowflake
dbt
Mid and Senior level
Remote in US
Built Technologies

Cloud-based construction lending software

Open for applications

Built Technologies

Cloud-based construction lending software

201-500 employees

B2BLendingConstructionSaaSCloud Computing

Open for applications

$145-175k

+ Equity

SQL
Python
Tableau
Looker
NumPy
Pandas
Snowflake
dbt
Mid and Senior level
Remote in US

201-500 employees

B2BLendingConstructionSaaSCloud Computing

Company mission

To improve outcomes for those building and managing the world around us.

Role

Who you are

  • BA in Statistics, Mathematics, Computer Science, or a related quantitative field
  • 3+ years of experience in data science, including experience in product analytics or similar domains
  • Expertise in SQL, Python, and statistical tools/libraries such as NumPy, or Pandas
  • Strong understanding of machine learning, statistical modeling techniques, and A/B testing
  • Experience with business intelligence tools such as Tableau, Sigma, or Looker
  • Proven ability to share outcomes through written and verbal communication, including the ability to effectively communicate with both business and technical teams

Desirable

  • Experience with data pipeline and infrastructure tools such as Snowflake and DBT
  • Experience developing and deploying machine learning models to production
  • Experience in the Financial Services industry
  • Advanced degree (Master’s or PhD) in Statistics, Mathematics, Computer Science, or a related quantitative field

What the job involves

  • Built is seeking a Senior Product Data Scientist to partner with our Data Platform and Application teams and drive forward Built’s suite of customer-facing data products
  • In this role, you will use advanced analytical techniques to uncover insights and enable data-driven decision-making across our diverse client base and inside our organization
  • You will contribute to product roadmaps and own development of advanced data products including benchmarking, forecasting, and recommendations
  • You will work closely with data engineers, product managers, and business leaders to ensure our data products are robust, scalable, and impactful for our customers
  • Develop and optimize data models and pipelines to support customer-facing analytics and internal decision-making
  • Build self-service tools, dashboards, and visualizations to empower end users and internal stakeholders with actionable insights
  • Partner with data engineers to ensure models are secure, performant, and scalable
  • Provide thought leadership on data science best practices, tools, and methodologies
  • Communicate complex findings effectively to both technical and non-technical audiences through written and visual storytelling

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Insights

Top investors

-13% employee growth in 12 months

Company

Company benefits

  • Uncapped paid time off in addition to 6 company holidays and 6 ‘lite’ holidays
  • Comprehensive healthcare package offerings to choose from for you and your family
  • Bonus and equity program
  • Learning grants
  • Flexible working hours and hybrid work options
  • Volunteering opportunities

Funding (last 2 of 5 rounds)

Jul 2022

$23.6m

LATE VC

Sep 2021

$125m

SERIES D

Total funding: $281.7m

Our take

Construction is one of the world's biggest industries, and one of the least digitized. Built is setting out to change this by offering construction companies a cloud-based finance platform.

Built was founded in 2014, and its solutions improve the flow of capital between all stakeholders in the construction ecosystem, including contractors and property developers. Further funding has pushed Built's valuation up to $1 billion, which is testament to industry confidence in its product.

More and more fintechs are looking to the construction industry, eager to exploit the gap in the market. However, Built has already established itself as a market leader, and its unicorn valuation has helped set it apart.

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Freddie

Company Specialist at Welcome to the Jungle