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Turing.com

Palo Alto, California, US

4 days ago
Work from home
full-time
No degree mentioned

Job highlights

Qualification

Bachelor’s Degree/MA or Ph.D. with a focus in Business, Math, Economics, Finance, Statistics, Science or Engineering. 3+ years of professional experience as a Data Scientist. Strong understanding of data mining, data models, segmentation techniques, and database design development. Ability to structure, analyze and extract data according to business requirements. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB). Fluency in English to collaborate with engineering managers. Work full-time (40 hours/week) with a 4 hour overlap with US time zones

Responsibility

Identify business issues and product/service enhancement possibilities. Make strategic or tactical suggestions based on your analysis. Use your knowledge of data cleansing and wrangling, quantitative analysis, and data mining to solve problems. Look past the stats to see how people connect with our customers and products. Collaborate with the product and engineering teams to address issues and uncover trends and opportunities. Inform, influence, support, and execute our product decisions and product launches. Forecasting and setting product team goals, designing and evaluating experiments. Monitoring important product KPIs and figuring out what's causing them to change. Creating and evaluating reports and dashboards. Build major data sets to enable operational and exploratory analysis. Defining and evaluating key metrics. Specifying what should be included in the upcoming roadmap. Identifying new levers to assist in the movement of critical metrics. Creating user behavior models for analysis or to drive manufacturing systems. Influencing product teams through the presentation of data-based recommendations. Communicating the state of business, experiment results, etc. to product teams. Educating analytics and product teams on best practices

Job Description

Description

About Turing.com: Turing’s mission is to unleash the world’s untapped human potential. We use AI to source, evaluate, hire, onboard, and manage engineers remotely (including the HR and compliance aspects) in a bigger platform that we call the “Talent Cloud”. We recently achieved unicorn status with a valuation of $1.1B, after raising over $140M in financing over four rounds of funding. 900+ companies including companies like Johnson & Johnson, Pepsi, Dell, Disney +, and Coinbase have hired Turing developers. About the role: We, at Turing, are looking for exceptional data scientists who can do business/product research, create critical KPIs, and set product team goals. Apply for the best data scientist jobs and work with Silicon Valley's most prestigious firms. Job Responsibilities - - Identify business issues and product/service enhancement possibilities - Make strategic or tactical suggestions based on your analysis - Use your knowledge of data cleansing and wrangling, quantitative analysis, and data mining to solve problems - Look past the stats to see how people connect with our customers and products - Collaborate with the product and engineering teams to address issues and uncover trends and opportunities - Inform, influence, support, and execute our product decisions and product launches - Forecasting and setting product team goals, designing and evaluating experiments - Monitoring important product KPIs and figuring out what's causing them to change - Creating and evaluating reports and dashboards - Build major data sets to enable operational and exploratory analysis - Defining and evaluating key metrics - Specifying what should be included in the upcoming roadmap - Identifying new levers to assist in the movement of critical metrics - Creating user behavior models for analysis or to drive manufacturing systems - Influencing product teams through the presentation of data-based recommendations - Communicating the state of business, experiment results, etc. to product teams - Educating analytics and product teams on best practices Minimum Requirements - - Bachelor’s Degree/MA or Ph.D. with a focus in Business, Math, Economics, Finance, Statistics, Science or Engineering - 3+ years of professional experience as a Data Scientist - Strong understanding of data mining, data models, segmentation techniques, and database design development - Ability to structure, analyze and extract data according to business requirements - Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB) - Fluency in English to collaborate with engineering managers - Work full-time (40 hours/week) with a 4 hour overlap with US time zones