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Remote data scientist jobs at U.S. companies

We, at Turing, are looking for experienced data scientists who can perform business/product analysis, define key metrics, and set product team goals. Come and be a part of the top 1% of data scientists and grow with the best minds.

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Job description

Job 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.
  • 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

Minimum 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)
  • 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 statistics 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
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate large amounts of data.
  • Applied statistics 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

Interested in this job?

Apply to Turing today.

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  1. Create your profile

    Fill in your basic details - Name, location, skills, salary, & experience.

  2. Take our tests and interviews

    Solve questions and appear for technical interview.

  3. Receive job offers

    Get matched with the best US and Silicon Valley companies.

  4. Start working on your dream job

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Frequently Asked Questions

To be proficient in Data Science, you need to have a stronghold on Python, Power BI, OpenCV, and Tableau. In addition, a good understanding of Probability, Statistics, Data Wrangling, Database Management, Data Visualization, and Cloud Computing is a great plus.

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

Yes. Becoming a Data Scientist is highly lucrative both in terms of career growth and finance. Silicon Valley companies are always looking for talented Data Scientists and are ready to pay excellent salaries. To apply for such jobs, visit Turing.com. You can join a network of the world’s best Data Scientists and get full-time, long-term remote Data Scientist jobs at Turing.com

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Long working hours are frequent when working on big problems/projects, and performance expectations are always high. But many companies, especially Silicon Valley companies, offer great work culture to reduce stress and keep employees motivated. To work with such companies, visit Turing.com. Via Turing, you can get full-time, long-term remote Data Scientist jobs.

It is the combination of our core business model and values that makes us different from others. We provide full-time, long-term projects to remote developers whereas most of our competitors offer more freelance jobs.

No, the service is absolutely free for software developers who sign up.

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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