What are the responsibilities and job description for the Data Scientist position at Washington Abstract, Inc.?
Who Are We?Our Mission : Increase government transparency to connect and empower. We're building the first "gateway" that helps businesses and individuals make sense of messy government data. Why : Corporations, lawyers, lobbyists, non-profits, and individuals alike are still using spreadsheets and archaic government websites to understand how bills impact their industry. They deserve a 21st century tool that streamlines how we make sense of pending legislation, and enables a more transparent and accessible lobbying process. Investors : $9M raised from Bonfire Ventures, Communitas (frmr CEO @Thomson Reuters), Tom Spengler (CEO @Granicus), WndrCo, Motivate Venture Capital, Amplify.LA, StageVP, Jarl Mohn (Founder of E! & Former CEO of MTV & NPR), Nick Allen (Founding Product Designer at Snapchat), and Hon. Tony Coelho (Former Congressman, US House Majority Whip, & Primary Sponsor of American Disabilities Act). Customers : Include Fortune 500 Companies, AM Law 100 Global Law Firms, and Government OrganizationsTeam : Passionate and hungry (both literally and figuratively), looking to build cool stuff to benefit everyone!Where : we are a small team primarily based in NYC. RoleWe are looking for an exceptional and skilled Data Scientist to join our growing team and become a key driver of our companys success. As our first dedicated Data Science hire, youll play a pivotal role in building data-driven insights that directly influence our product and strategy. Youll collaborate closely with our Data Engineering team, ensuring your work integrates seamlessly into our systems and delivers measurable value.This role requires someone who thrives on turning data into action, is able to work collaboratively with cross-functional teams and has a strong track record of solving complex problems with a product-first mindset.This is a remote-first position but people within commuting distance of Brooklyn will be prioritized - we like to get together to connect and catch up.Your BackgroundProgramming Languages : Strong proficiency in Python, with experience managing and manipulating large-scale datasets. Data Architecture : Familiarity with modern data architecture, including data lakes, pipelines and cloud-based platforms. Product-focused Mindset : Proven ability to deliver Data Science solutions that drive measurable product and business outcomes. Statistical and Machine Learning Knowledge : Experience serving predictive models in production. Solid understanding of statistical methods, machine learning techniques and best practices in data management. Analytical Mind : Analytical experience validating and understanding experimentation results. Collaboration and Communication : an exceptional ability to explain technical concepts to diverse audiences with clarity and confidence. Fast Learner : You quickly learn new concepts, and you easily pick up new skills. Determination : You love challenges, and persist when problems become complex. Passionate : Youre passionate about politics and increasing government transparency.
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Salary : $9