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.
- 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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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 a 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 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, research, machine learning, 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?
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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
Long-term opportunities to work for amazing, mission-driven US companies with great compensation.
Career growth
Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.
Exclusive developer community
Join a worldwide community of elite software developers.
Exclusive developer community
Join a worldwide community of elite software developers.
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
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.
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