Remote Data Science Jobs – Indeed Jobs US

We, at Turing, are looking for experienced data scientists who can perform business/product analysis, define key metrics, and set product team goals. Provide mentorship and support to junior team members. Here’s your chance to work with Valley companies and rise quickly through the ranks.

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 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.

Responsibilities: – Identify business challenges and opportunities for product/service improvements. – Use analysis to make strategic or tactical recommendations. – Apply data cleaning and wrangling expertise, quantitative analysis, and data mining. – Partner with product and engineering teams to solve problems and identify trends and opportunities. – Inform, influence, support, and execute product decisions and launches. – Forecast and set product team goals and design and evaluate experiments. – Monitor key product metrics and understand the root causes of changes in metrics. – Build and analyze dashboards and reports. – Build key datasets to empower operational and exploratory analysis. – Propose what to build in the next roadmap. – Understand ecosystems, user behaviors, and long-term trends. – Identify new levers to help move key metrics. – Build models of user behaviors for analysis or to power production systems. – Influence product teams by presenting data-based recommendations. – Communicate the state of business, experiment results, etc., to product teams. – Spread best practices to the analytics and product teams

Requirements: – Bachelor?s Degree/MA or Ph.D. focusing on Business, Math, Economics, Finance, Statistics, Science, or Engineering. – Knowledge of quantitative data analysis, report writing, and presentation of findings. – Expertise with data querying languages (e.g., SQL) – Proficiency in scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, MATLAB). – Fluency in English to collaborate with engineering managers and other team members – Ability to work full-time (40 hours/week) with a 4-hour overlap with U.S. time zones

Preferred skills: – Strong analytical skills with the ability to collect, organize, analyze, and disseminate large amounts of data. – Applied or experimentation (i.e., A/B testing) in an industry setting. – Expertise in communicating the results of analyses to product or leadership teams to influence strategy

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