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.

Check out the best jobs for May 2024here

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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.
  • 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)
  • 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

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Learn how to create a perfect resume lists out the do’s and don’ts behind a great resume
to help you find a top remote data scientist job.


How to Become a Data Scientist?

Data scientists are analytical specialists who use technology and social science knowledge to identify patterns and manage data. They utilize industry expertise, contextual awareness, and criticism of current assumptions to solve business problems.

Before we explore how to become a data scientist, let’s look at the scope and rapid rise of remote data science jobs.

What is the scope of Data Science?

Data science is a buzzword in the tech world right now, and with good reason, it's a big step forward in how computers learn. The need for data scientists is high, and this increase is due to the evolution of technology and the generation of vast amounts of data, also known as big data.

  • Data Scientist:-

A data scientist uses artificial intelligence, machine learning, and analyzes data to discover patterns and trends to make data driven decisions.

  • Data administrator:-

A data analyst filters out business-relevant data. They monitor data flow and trends and assist their teams.

  • Data Engineer:-

A Data engineer is in charge of assuring the integrity and performance of the organization's databases, as well as the data's security. They must be conversant with standard relational databases, disaster recovery and database backup methods, and reporting tools.

What are the roles and responsibilities of Data scientists?

  • Undertake research to extract data from multiple sources.
  • Use web scraping, APIs, and surveys to collect unstructured data.
  • Use machine learning tools to organise, process, clean and validate the data.
  • Communicate predictions and results to management and IT teams through excellent data visualizations and reports.

Essentials of becoming a Data scientist

For getting a data scientist job you need bachelor's degree or master’s degree in data science or computer science field. It will enhance your problem-solving abilities through critical and analytical thinking. But if you don’t have a data science degree in that case  you may need to learn to job-related skills through short-term specialized courses or boot camps like:

Learn the required skills to become a data scientist like:

  • Programming
  • Big data tools
  • Data warehousing and structures
  • Machine learning techniques
  • Data mining, cleaning, and munging
  • Data visualization 
  • Statistics, probability and math

Data scientists might focus on a specific industry or gain expertise in areas like artificial intelligence, machine learning, research, or database administration. 

It can be helpful to have an online portfolio. You can create a data scientist resume and showcase your best projects and achievements to prospective employers. 

Your first data science job may not include the title of a data scientist but may have an analytical function instead. Once you learn to operate as part of a team and master the best practices, moving on to more senior roles will be easier.

For senior remote scientist jobs, is a master's degree necessary? It varies by profession. Some practicing data scientists have a bachelor's degree or have completed a data science boot camp.

Once you've landed a job interview, prepare responses to most asked data science interview questions. Since data scientist roles can be very technical, you may be asked technical and behavioral questions.

Here are a few questions:

  • What are the advantages and disadvantages of a linear model?
  • What exactly is a random forest?
  • To identify all duplicates in a data collection, how would you use SQL?
  • Explain your machine learning experience.
  • Give an example of a moment when you didn't know how to address a problem. What exactly did you do?

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Skills required to become a Data scientist

When looking for  data science jobs , you’ll need certain skills to be proficient in regardless of your role.

1. Math and statistics

Any competent data scientist should have a solid foundation in math and statistics. Companies, especially those that are data-driven, require a data scientist to know statistical techniques. Calculus and linear algebra are important as they are linked to machine learning techniques.

2. Analytics and modeling

A data scientist is expected to be proficient in this field and be able to examine data, perform tests, and develop models to acquire new insights and anticipate probable outcomes based on a foundation of critical thinking and communication.

3. Machine learning methods

While expert-level expertise in this field is not usually required, some familiarity is expected. Knowledge of decision trees, logistic regression, and other essential aspects enabled by machine learning is sought after.

4. Programming

A data scientist must have excellent programming abilities and expertise in Python, R, Perl, C/C++, SQL, Java and other languages. However, it's worth mentioning that the specific languages may differ depending on the job requirements and the nature of the data science tasks involved.

5. Data visualization

Data visualization allows data scientists to effectively convey key messages and propose solutions. Understanding how to  simplify complex data into digestible chunks and utilizing visual aids such as charts and graphs is a fundamental skill for every data scientist.

6. Intellectual curiosity

A good data scientist should be driven to learn more about what the data says and how that knowledge may be applied on a larger scale.

7. Communication

Data cannot communicate until manipulated, which means that a data scientist must have solid communication abilities.

8. Business acumen

A certain amount of business acumen is necessary for a data scientist to use data in a useful way for their company properly. You must completely understand the company's primary objectives and goals and how they affect the job you need to accomplish. You must also be able to develop solutions that satisfy those objectives with a cost-effective and simple-to-implement approach.

Interested in remote data scientist developer jobs?

Become a Turing developer!

Apply now

How to get Data scientist jobs?

Turing offers some of the best remote data science job opportunities. You can quickly grow in your career by working on challenging yet rewarding technology and business challenges. Join our network of the world's top developers to find long-term, full-time data science remote jobs with higher compensation and promotion prospects.

Why become a Data scientist at Turing?

Elite US jobs
Elite US jobs

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth
Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community
Exclusive developer community

Join a worldwide community of elite software developers.

Exclusive developer community
Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.
Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Great compensation
Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their Data scientists?

Every Turing data scientist has the opportunity to set their own pace. Turing, on the other hand, will propose a salary at which we are certain we can find you a successful and long-term position. Our suggestions are based on our analysis of market conditions as well as customer preferences.

Frequently Asked Questions

To become a data scientist, you need a diverse set of skills:

  1. Proficiency in programming languages like Python, R, and SQL
  2. Understanding of statistics and machine learning
  3. Ability to visualize data using tools such as Matplotlib
  4. Expertise in data manipulation with Pandas
  5. Effective communication and strong problem-solving abilities
  6. Familiarity with data science libraries
  7. Solid foundation in mathematics

Coupled with experience and a passion for deriving insights from data, these skills form the cornerstone of a successful career in data science.

To apply for data scientist work from home jobs at Turing, follow these steps:

  1. Upload your resume
  2. Complete an assessment of your work experience
  3. Take tests related to your tech stack
  4. Complete a coding challenge

If you’re successful, you’ll proceed to an onboarding call.

Turing's AI Matching Engine evaluates your skills, experience and expertise based on your test and coding challenge results. It then matches you with the suitable jobs, considering your talent, availability, and location.

Yes, data scientists are in high demand. Ongoing technological advancements and an increased reliance on data for decision-making will drive this growth. The rise of AI and machine learning applications further amplifies the need for data science across various industries.

Additionally, remote work options have broadened access to data science opportunities. This allows professionals from diverse backgrounds to pursue careers in this field.

Turing uses a two-way approach, combining automated tests and an AI Matching Engine. This method effectively matches skilled engineers with remote job opportunities at top-tier Silicon Valley companies. Developers typically spend between 3 to 6 hours on a combination of tests, coding challenges, and interviews during the hiring process.

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.

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 You can join a network of the world’s best Data Scientists and get full-time, long-term remote Data Scientist jobs at

Turing hosts a diverse range of companies actively seeking to hire remote data scientists. These companies span various industries, including technology, finance, auto, healthcare, and more. Please check our data science jobs pages for the latest openings.

Data Science offers a variety of career opportunities across different industries. Some key roles for individuals with a background in Data Science include:

  1. Data Analyst
  2. Data Scientist
  3. Machine Learning Engineer
  4. AI Research Scientist
  5. Business Intelligence Analyst
  6. Data Engineer

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.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

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 Via Turing, you can get full-time, long-term remote Data Scientist jobs.

Several cities have open remote data scientist jobs. Some of the top ones include Hyderabad, Bangalore, Kolkata , Pune.

Consider applying to Turing for remote data science positions. Turing offers full-time, long-term data scientist roles that you can pursue from anywhere in the world.

Turing offers competitive salaries to its developers ensuring they have the opportunity to earn salaries that match their skills and experience.

At Turing, data scientists have the flexibility to set their own prices. However, Turing provides a recommended salary to help find profitable long-term opportunities.

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.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

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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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