Data science jobs

We, at Turing, are looking for exceptional data scientists who can do business/product research, create critical KPIs, and set product team goals. Apply for the best data science jobs and work with Silicon Valley's most prestigious firms.

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Job description

Job responsibilities

  • Identify business issues and product/service enhancement possibilities
  • Make strategic or tactical suggestions based on your analysis
  • Use your knowledge of data cleansing and wrangling, quantitative analysis, and data mining to solve problems
  • Look past the stats to see how people connect with our customers and products
  • Collaborate with the product and engineering teams to address issues and uncover trends and opportunities
  • Inform, influence, support, and execute our product decisions and product launches
  • Forecasting and setting product team goals, designing and evaluating experiments
  • Monitoring important product KPIs and figuring out what's causing them to change
  • Creating and evaluating reports and dashboards
  • Build major data sets to enable operational and exploratory analysis
  • Defining and evaluating key metrics
  • Specifying what should be included in the upcoming roadmap
  • Identifying new levers to assist in the movement of critical metrics
  • Creating user behavior models for analysis or to drive manufacturing systems
  • Influencing product teams through the presentation of data-based recommendations
  • Communicating the state of business, experiment results, etc. to product teams
  • Educating analytics and product teams on best practices

Minimum requirements

  • Bachelor’s Degree/MA or Ph.D. with a focus in Business, Math, Economics, Finance, Statistics, Science or Engineering
  • 3+ years of professional experience in Data science jobs (rare exceptions for highly skilled candidates)
  • Strong understanding of data mining, data models, segmentation techniques, and database design development
  • Ability to structure, analyze, and extract data according to business requirements
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB)
  • Fluency in English to collaborate with engineering managers
  • Work full-time (40 hours/week) with a 4-hour overlap with US time zones

Preferred skills

  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate large amounts of data with attention to detail and accuracy
  • Applied statistics or experimentation (i.e. A/B testing) in an industry setting
  • Expertise in relevant fields of technical writing, including reports, inquiries, and presentations
  • Excellent interpersonal and collaborative skills

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Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

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.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

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

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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How to become a Data Scientist?

Getting data science jobs requires a mix of technical skills, analytical thinking, and domain knowledge. Data scientists are specialists with a focus on analysis, utilizing both technological tools and insights from social sciences to detect patterns and handle data effectively. Their approach involves leveraging industry know-how, contextual understanding, and the ability to question prevailing assumptions to address business challenges.

What is the scope of Data science jobs?

The scope of data science jobs is extensive and includes various industries such as finance, healthcare, retail, and technology. Data scientists play a pivotal role in extracting meaningful insights from vast datasets to inform business decisions, optimize processes, and drive innovation. With the increase of data in today's digital age, the demand for skilled data professionals continues to rise. Additionally, the emergence of specialized fields like artificial intelligence and big data further widens the scope, offering diverse career opportunities within data science jobs, such as:

  • Data Scientist: A data scientist employs artificial intelligence and machine learning techniques to analyze data, uncover patterns, and identify trends, enabling informed decision-making based on data insights.
  • Data Administrator: A data analyst sifts through data to extract relevant information for business purposes. They oversee data flow and trends, providing support to their teams in understanding and utilizing data effectively.
  • Data Engineer: Responsible for maintaining the integrity, performance, and security of organizational databases, a data engineer ensures data reliability. Proficient in relational databases, disaster recovery protocols, and reporting tools, they manage database operations efficiently.

What are the roles and responsibilities of Data science jobs?

Data scientists play a crucial role in various industries by extracting insights from data to inform decision-making and drive innovation. Their roles and responsibilities typically include:

1. Data Analysis: Analyzing large datasets to identify patterns, trends, and correlations using statistical methods and machine learning algorithms.

2. Data Modeling: Developing predictive models and algorithms to forecast future trends, behavior, or outcomes based on historical data.

3. Data Visualization: Creating visual representations of data through charts, graphs, and dashboards to communicate findings effectively to stakeholders.

4. Machine Learning: Applying machine learning techniques to build and train models for tasks such as classification, regression, clustering, and recommendation systems.

5. Data Cleaning and Preprocessing: Cleaning and preprocessing raw data to ensure accuracy, consistency, and completeness before analysis.

6 Experimentation and Testing: Designing and conducting experiments to validate hypotheses and improve model performance.

7. Ethical Considerations: Ensuring ethical use of data and maintaining data privacy and security in accordance with regulations and best practices.

Skills required to become a Data Scientist

To excel as a data scientist, you will need the following skills:

  • Proficiency in programming languages like Python, R, or SQL for data manipulation and analysis.
  • Strong foundation in mathematics and statistics for effective modeling and interpretation.
  • Knowledge of machine learning algorithms and techniques for predictive analytics and pattern recognition.
  • Familiarity with data visualization tools such as Tableau or Matplotlib to communicate insights visually.
  • Critical thinking and problem-solving skills to tackle complex data-related challenges.
  • Domain expertise in specific industries enhances understanding and contextualization of data.
  • Continuous learning and adaptability to stay abreast of evolving technologies and methodologies in data science.

Why become a Data scientist at Turing?

Turing offers some of the best remote data science jobs. By engaging in stimulating technology and business challenges, you can thrive in your professional career. Join our community of top-tier developers to get full-time remote data science opportunities with competitive salaries and a promising career progression.

How much does Turing pay their Data scientists?

In Turing, Data scientists have the opportunity to set their own rates. Turing, on the other hand, will propose a salary at which we know we can find you a successful and long-term position. Our suggestions are always based on our exhaustive analysis of market conditions as well as customer preferences.

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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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briefcase
LLM Trainer - Computer Usage Data Collection

About Turing:

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems.

Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.


Role Overview

We are developing a computer usage dataset to train intelligent systems that understand how users interact with software applications. As an LLM Trainer (Computer Usage Data Collection), you will record your screen while performing detailed, multi-step computer-based tasks — such as configuring applications, exploring tools, or completing productivity workflows.
Your recordings will be annotated and used to help train models that interpret and predict user workflows, enhancing the realism and usability of AI assistants.


What Does Day-to-Day Look Like

  • Record your screen activity while completing assigned computer-based tasks.
  • Carefully follow step-by-step documentation to complete each task accurately.
  • Ensure all recordings are high-quality, complete, and free from interruptions.
  • Label or verify events (clicks, keypresses, actions) as instructed.
  • Maintain accuracy and consistency in file naming and documentation.
  • Adhere to strict privacy and data-handling protocols.

Types of Tasks

You will perform tasks across diverse software domains, such as:

  • Education & Productivity: Using learning or organizational tools.
  • Software & Development Environments: Setting up or configuring tools (no coding required).
  • Data & Analytics: Working with dashboards or monitoring interfaces.
  • Creativity Tools: Using design or visualization applications.
  • General Workflows: Everyday tasks like browsing, file management, or configuration settings.
Note: The specific tools and environments will vary widely — adaptability and willingness to learn new interfaces are key.

Requirements
  • 2+ years of experience with any programming languages / technical skills
  • Computer with  16 GB RAM or higher.
  • Ability to follow detailed written documentation and execute steps precisely.
  • Comfort with navigating various software applications and interfaces.
  • Excellent attention to detail and consistency in recording and labeling.
  • Reliable computer and stable internet connection.
  • Commitment to confidentiality and secure data handling.

Perks of Freelancing With Turing:

  • Work in a fully remote environment.
  • Opportunity to work on cutting-edge AI projects with leading LLM companies.

Offer Details:

  • Engagement  type  : Contractor assignment (no medical/paid leave)
  • Duration of contract : 1 month; [expected start date is next week]

Evaluation Process :

  • 1 round of take home assessment
Holding Companies & Conglomerates
10K+ employees
PythonJavaJavaScript+ 2
briefcase
Backend Engineer (Golang / Python / Kafka)
About the Client

Our mission is to bring community and belonging to everyone in the world. We are a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet.

Role
Campaign Management team's goal is to uplevel and expand the core functionality related to creating and editing ad entities seen across the platform. It is important that our advertisers are able to efficiently and  effectively create, adjust, report, and measure their ads in the most  intuitive way possible. Our team not only builds new products on the Ads platform but we also  support other teams building their products on top of our platform. We  expect our engineers to take ownership and have pride in the work and  support we provide.


Key Responsibilities
  • Design and maintain scalable backend services that power the entire advertising stack
  • Own critical systems including Python, Go, and Kafka infrastructure
  • Own the developer tooling and testing framework that enables team velocity
  • Architect APIs and data models that other teams across Reddit depend on
  • Ensure 99.9%+ uptime for services handling high-volume campaign operations
  • Build monitoring, alerting, and operational tooling for mission-critical advertising infrastructure


Qualifications for this role:

  • 5+ years building scalable backend systems in production environments
  • Strong experience with Python and/or Go
  • You love diving deep into problems, understanding them from all  angles, talking to stakeholders, and designing elegant solutions.
  • You get excited by the prospect of deep-diving into performance  issues, finding the root cause, and implementing solutions that have  impact across the application.
  • Deep understanding of distributed systems, databases, and API design
  • Experience with cloud platforms (AWS/GCP) and infrastructure as code

Platform Mindset:

  • Track record of building systems that other engineering teams depend on
  • Experience with service-oriented architecture and microservices patterns
  • Understanding of operational concerns: monitoring, logging, alerting, and debugging
  • Passion for code quality, testing frameworks, and developer tooling
  • Background in ad tech or developer experience (preferred)


Offer Details


  • Full-time contractor or full-time employment, depending on the country
  • Remote only, full-time dedication (40 hours/week)
  • Required 4-6 hours overlap with PST (Pacific Standard Time)
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Media & Internet
251-10K employees
GoApache KafkaPython
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Turing books $87M at a $1.1B valuation to help source, hire and manage engineers remotely
Turing named one of America's Best Startup Employers for 2022 by Forbes
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