Data Scientist I

Company: Payward Operations LLC (dba Kraken)
Location: San Francisco, CA
Position Type: Full Time
Experience: See below
Education: See below
Duties incl: Partner w/ fin’l fraud, product, eng’g, & other relev. stakeholders to ID, prioritize, & answer most imprtnt questions where analytics, stat. & ML modeling will have material impact on mitigating Fin’l Fraud. Drive cross functional analytic projs from beginning to end: bld relationships w/ partner fraud teams, frame & structure questions, collect & anlyz data, summarize & present key insights in spprt of decision making to mitigate fraud. Work w/ engrs to evangelize data best practices & implement analytics solutions. Telecommuting/wrk from home permitted. Bachelor’s or equiv in CS, Data Sci, Stats or rel. fld + 3 yrs of exp in crypto currency or rel. Must have exp: Bld’g & deploying machine learning models to detect fraudulent activities; Advanced quantitative & data analysis, incl estimation methods, time series analysis, & machine learning techniques; Data querying languages such as SQL, scripting languages such as Python, or stat./math. SW such as R; Performing in-depth research projs, examining real-world data w/ math. methods; Cloud-computing tools & pltfrms such as AWS or GCP; Data visualization tools such as tableau, Qlik, or data studio; Wrk’g w/ lrg datasets, incl tick data; ID & implementing infrastructure improvements to min. overall latency & max. performance w/ packages such as Pandas or Pyspark; & Bld’g databases & creating ETL pipelines for lrg, complex data sets w/ Airflow. Employer will accept any amount of exp w/ req’d skills. To apply, visit https://jobs.ashbyhq.com/kraken.com/b2e4f80f-1db8-469d-b600-21477237d27e?departmentId=1b779ee2-cb56-42f9-a7d0-0b517849cd2a. EO, AAE. $116,700 - $164,000/yr target sal range. Offers Equity & Bonus. Range is not inclsv of other add’l comp., such as Bonus & Equity prog, Wellness allowance, & other benefits (US Only) (incl med/dental/vision & 401(k)). Range provided is influenced by various factors & represents initial target range. Salary offerings are dynamic & we strive to ensure our base salary & total comp. pkg aligns & recognizes top talent we aim to attract & retain. Comp. pkg of candidate is based on various factors such as skillset, exp, & job scope.