Premise

Junior Data Scientist

Job description

Premise is growing! We're hiring a Data Scientist (mid or senior level). You will collaborate with diverse teams of data scientists, data analysts, program managers, data integrity specialists, and mobile and backend developers. We use data, strategy, and empathy to guide cross functional teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work growing revenue, scaling the business with efficiency, launching high-impact initiatives, and assessing their continued performance.We aim to foster a culture of testing, transparency, openness to debate and pushing each other's boundaries towards continuous learning and improvement across all facets of Premise and its operations. This position will involve applying statistical data science, pattern-of-life methods, and behavioral biometrics to enrich our telemetry data, combat mobile application fraud, and help develop and enhance methods for profiling and scoring our users in action-oriented ways.

Premise makes sourcing data better for organizations and individuals alike by combining our technology with communities of global smartphone users in more than 125 countries. When you join our team, you join a group of driven and talented industry experts, working to democratize the way actionable data is sourced and used.

Title: Senior Data Scientist

Location: Washington DC, Remote

Terms: Full - Time

Our Team:

We are a passionate, tight-knit, super-driven team that moves fast, appreciates candor, and deeply values the diversity of our backgrounds. Our diversity mirrors the global nature of our work: we've lived in 30 countries, speak 14 languages, and believe in the value of life experience that an unconventional background inherently brings. What unites us is our innate curiosity and collective ambition to build technology that ultimately has a measurable human impact.

What you get to do:

  • Develop and refine project scope, structure, and approach. Provide structure to complex problems and develop capability roadmaps along the way while heightening business growth through a deep understanding of user behaviors with applied analytics techniques and business insights.
  • Identify key business and data issues, guide and execute analysis, develop conclusions, and present findings to cross-functional partners including but not limited to Product, Global Operations, User Growth and Data Engineering. Anticipate roadblocks and proactively address issues before they impact business results.
  • Apply machine learning and algorithm development capabilities to our crowd sourced and telemetry data to bring out behavior biometrics, which can be applied to user reliability scoring and fraud detection.
  • Develop and improve models of user trust/reliability and use such measures to aggregate conflicting information into an authoritative source of truth.
  • Collaborate with other data scientists, analysts, product managers, operations, and other departments to ensure products and technology meets internal standards.
  • Apply mathematical rigor and a highly refined sense of both where to look next and what to do instead when performing econometric/statistical analysis for internal and client requirements.
  • Communicate data collection and statistical methodologies to both technical and nontechnical audiences
  • (Preferred) have an understanding of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company and / or player in the gig economy space.

Your background likely includes:

  • Experience applying machine learning/algorithms to user reliability scoring and/or fraud detection.
  • Advanced level SQL writing skills (Google BigQuery a plus but not necessary).
  • Experience with Python and associated packages for statistical analysis, machine learning, and computer vision.
  • Passion for learning and sharing knowledge with the team around you.
  • Experience with data analysis, quality, cleaning, and extraction/validation tools.
  • Experience with customer lifecycle analysis and forecasting coupled with persona analysis.
  • Experience with visualization tools like Looker, Tableau, ArcGIS a plus.

Press:

Premise Data Raises $85 Million To Transform Market Intelligence By Scaling Its Machine Learning And Human Intelligence Platform (PRNewswire)

Forbes Recognizes Premise Data Among Best Startup Employers For 2021 (Forbes)

Premise Data Ranked 182nd Fastest-Growing Company in North America on Deloitte's 2020 Technology Fast 500™ (PR

Newswire)

Armed with smartphones, Colombians are taking on the local mozzies (The Economist)

Why every state should adopt a mask mandate, in 4 charts (Vox)

Photos are creating a real-time food index (Wired)


#LI-MF1 / #LI-DNI

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