Remote data wrangling/data science expert jobs

We, at Turing, are looking for talented remote data wrangling/data science experts who will primarily clean and unify unorganized complex data sets to ensure seamless data access and analysis. Get an excellent opportunity to collaborate closely with the best minds while working at top U.S. firms.

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Job description

Job responsibilities

  • Apply expertise in data cleaning, data wrangling, quantitative analysis, and data mining
  • Collaborate with stakeholders to understand business requirements
  • Accumulate, select, and transform data to help make well-informed decisions
  • Build and analyze dashboards and reports
  • Manually convert, map, and organize data for convenient data consumption
  • Deliver accurate and actionable data to business analysts
  • Perform data visualization & data aggregation, and train statistical models
  • Explain actionable data insights to non-technical clients and stakeholders

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Data/Computer Science, IT (or equivalent experience)
  • At least 3+ years of experience as a data scientist/data wrangling expert (rare exceptions for highly skilled developers)
  • Experience in data transformations like merging, ordering, and aggregating
  • Proficiency in data querying languages such as SQL.
  • Knowledge of coding in multiple programming languages including Java, R, and Python
  • Expertise in statistical analysis as well as pattern and anomaly detection
  • Hands-on experience in implementing algorithms and data structures
  • Strong understanding of AI principles, database systems, human/computer interaction, numerical analysis, and software engineering
  • Profound knowledge of analyzing large datasets to address complex problems
  • Fluency in the English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Experience in transforming raw data into actionable insights
  • Working knowledge of ETL pipelines, data visualization, and data aggregation
  • Experience with tools such as Parsehub, Scrapy, OpenRefine, etc.
  • Excellent analytical and problem-solving skills
  • Strong communication and interpersonal skills

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How to become a remote data wrangling/data science expert?

Experts in data wrangling and data science use data to guide businesses in the proper direction. Given the project's scope, data wrangling/data science experts supervise and coordinate the efforts of other team members while leading a variety of data-driven projects. They are data analysts who use their knowledge of technology and social science to find trends and manage data. They use industry knowledge, contextual awareness, and challenges of current assumptions to address corporate problems.

The benefits of data science have enticed businesses to utilize it, resulting in an increase in demand for data wranglers and data scientists. You might not know where to start your career in this field. In the next section, we'll go through the methodical strategy, professional knowledge, and abilities you'll need to land remote data wrangling/data science expert jobs.

What is the scope in data wrangling/data science?

Data science's findings are already making an impact in our daily lives. Take the internet, for example; there are more websites than one can fathom — a single google search yields 1 billion results, which is a staggering statistic. When you use Google to search for something, a data wrangling/data science expert is sifting through those 1 billion web pages in the background to deliver you the information you need.

Companies have massive amounts of data (which some may not know yet!). That won't help if organizations don't hire data wrangling/data science experts to examine the data and provide actionable insights. These insights assist businesses in making precise judgments about the adjustments that need to be made in the firm to improve the products and services they provide.

What are the roles and responsibilities of a data wrangling/data science expert?

After landing remote data wrangling/data science expert jobs, the following are some of the most important responsibilities.

  • Use your knowledge of data cleaning, data wrangling, quantitative analysis, and data mining to solve problems.
  • Collaborate with stakeholders to have a better understanding of the company's needs.
  • Assist in making well-informed decisions, gathering, selecting, and modifying data.
  • Create and analyze reports and dashboards.
  • Convert, map, and organize data manually for easy consumption.
  • Provide business analysts with reliable and actionable data.
  • Train statistical models and perform data visualization and aggregation.
  • Inform non-technical clients and stakeholders with actionable data insights.

How to become a data wrangling/data science expert?

Despite the extensive knowledge and skills required for these programming jobs, anyone with a genuine interest in the field—and the ability to do at least some of the responsibilities listed above—can obtain remote data wrangling/data science expert jobs.

There are a few options for learning the skills required for data wrangling/data science. You can start by going to college, which is the most popular option. A computer science degree will provide you with a strong foundation and credentials when it comes to entering the field. Both the cost of education and the length of time it takes to complete it are drawbacks. Furthermore, you may be unable to enroll in a college that will help you in finding data wrangling/data science expert jobs if you do not obtain good grades in high school.

Another alternative is to enroll in a boot camp program. The emphasis will be on teaching you the languages you'll need to apply for remote data wrangling/data science expert jobs, which can be done in person or over the internet. Depending on the boot camp, this may be a less expensive and faster option than a three- or four-year degree.

You may be confident that whatever path you choose to become a remote data wrangling/data science expert, you'll have a bright future and plenty of work prospects ahead of you.

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Skills required to become a data wrangling/data science expert

Acquiring the necessary skills is the first step in landing high-paying data wrangling/data science expert jobs. Let's look at each of the technical skills in more detail.

1. Statistics and math

Any effective data wrangling/data science expert will have a strong mathematical and statistical foundation. A data wrangling/data science expert would be required by any firm, especially one that is data-driven, to understand various statistical approaches — such as maximum likelihood estimators, distributors, and statistical tests — to assist in making suggestions and choices. Calculus and linear algebra are both crucial since machine learning algorithms rely on them. Therefore, be a master in statistics and math to land remote data wrangling/data science expert jobs.

2. Modeling and analytics

A competent data wrangling/data science expert is expected to be very proficient in this sector because data is only as good as people who analyze and model it. Based on a foundation of critical thinking and communication, a data wrangling/data science professional should study data, execute tests, and develop models to gain new insights and predict likely outcomes. So, develop an understanding of modeling and analytics before applying for remote data wrangling/data science expert jobs.

3. Methods of machine learning

While specialist knowledge in this topic isn't always required for data wrangling/data science expert jobs, some familiarity is expected. Machine learning skills such as decision trees, logistic regression, and other critical components will be sought after by future companies.

4. Programming

A data wrangling/data science professional must have excellent programming skills to move from the theoretical to the practical. Most businesses will want you to be proficient in programming languages such as Python, R, and others. Object-oriented programming, basic syntax and functions, flow control statements, libraries, and documentation are all included in this category. Due to the importance of this skill, learn it to land the best remote data wrangling/data science expert jobs.

5. Data visualization

Data visualization is a vital component of becoming a data wrangling/data science expert because it allows you to communicate key messages and acquire buy-in for suggested solutions effectively. Understanding how to break down complex data into smaller, more digestible bits, as well as how to employ a variety of visual aids (charts, graphs, and more) is a skill that every data wrangling/data science professional will need to get hired for remote data wrangling/data science expert jobs.

6. Intellectual curiosity

A strong desire to solve problems and uncover answers, particularly those that need some creative thinking, is at the heart of the data scientist profession. Since data doesn't mean much on its own, a great data wrangling/data science specialist is motivated by a desire to learn more about what the data is telling them and how they may use that information on a bigger scale.

7. Communication

Since data can't talk until it's modified, a good data wrangler/data science professional must be a great communicator. Communication can make or break a project, whether it's conveying to your team the activities you want to take to get from point A to point B with the data or giving a presentation to company leadership. So, improve your communication skills to impress recruiters during interviews for remote data wrangling/data science expert jobs.

8. Business savvy

To correctly use data in a way that is valuable to their firm, a data wrangling/data science professional needs a certain bit of commercial acumen. You must have a thorough understanding of the company's core objectives and goals, as well as how they affect the work you do. You must also be able to create solutions that meet those goals in a cost-effective, easy-to-implement manner that ensures widespread adoption to fetch remote data wrangling/data science expert jobs.

Interested in remote data wrangling/data science jobs?

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How to get remote data wrangling/data science expert jobs?

We've looked at the requirements for remote data wrangling and data science expert jobs. But the most important thing is to give it your all in practice. Every day, new technological advances are created. As it grows more popular, more people will enter the field, increasing your competition. It won't be difficult to advance your career if you keep up with current industry trends.

Turing offers the top remote data wrangling/data science expert jobs to help you meet your data wrangling/data science expert goals. You'll also have the chance to polish your skills by collaborating with other bright engineers on complex technological problems. Find full-time, long-term remote data wrangling/data science expert jobs with higher income and professional progress by joining a global network of the best data wrangling/data science experts.

Why become a data wrangling/data science expert at Turing?

Elite US jobs
Elite US jobs
Career growth
Career growth
Exclusive developer community
Exclusive developer community
Once you join Turing, you'll never have to apply for other data wrangling/data science expert jobs.
Once you join Turing, you'll never have to apply for other data wrangling/data science expert jobs.
Work from the comfort of your home
Work from the comfort of your home
Great compensation
Great compensation

How much does Turing pay their data wrangling/data science expert?

At Turing, every data wrangling/data science expert is allowed to set their rate. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity to grow your data wrangling/data science expert career. Our recommendations are based on our analysis of current market conditions and the demand that we see from our customers.

Frequently Asked Questions

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.

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.

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.

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Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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