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.

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.

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.

Explore remote developer jobs

briefcase
Sr. Data Scientist/Machine Learning Engineer

Sr. Data Scientist/Machine Learning Engineer

Job Summary:

We are seeking a highly skilled Data Scientist/Machine Learning Engineer to design, develop, and deploy advanced machine learning models for our digital advertising recommendation engine. You will leverage years of campaign data, along with performance metrics, to provide clients with data-driven insights on optimal digital product selection, budget allocation, and target demographics. You will work closely with Data Engineers and Backend Engineers to ensure seamless integration and deployment on Google Cloud Platform (GCP).

Responsibilities:

  • Design, develop, and implement machine learning models (e.g., regression, classification, collaborative filtering, deep learning) to predict campaign performance and generate recommendations.
  • Perform feature engineering, data cleaning, and preprocessing to prepare data for model training.
  • Evaluate model performance using appropriate metrics and iterate to improve accuracy.
  • Deploy and maintain machine learning models on Vertex AI.
  • Utilize BigQuery to extract, transform, and analyze large datasets.
  • Optimize model parameters for cost and performance on GCP.
  • Collaborate with Data Engineers to build and maintain data pipelines.
  • Stay up-to-date with the latest advancements in machine learning and AI.
  • Communicate findings and insights to stakeholders through clear visualizations and reports.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
  • 10+ years of software development experience; 5+ years building ML models
  • Proven experience in developing and deploying machine learning models.
  • Strong programming skills in Python (with libraries like scikit-learn, TensorFlow, PyTorch).
  • Expertise in data manipulation and analysis using SQL and BigQuery.
  • Experience with Google Cloud Platform (GCP) and Vertex AI.
  • Knowledge of statistical modeling and machine learning algorithms.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Experience leveraging LLM for specific tasks, e.g. improving data quality or generating explainable text from existing datasets.

Business Services
51-250 employees
Machine LearningData SciencePython+ 4
briefcase
Remote C/C++ Software Engineer

About Turing:
Turing is a Palo Alto-based leader in AGI infrastructure and generative AI solutions for Fortune 500 companies. With $140M in funding and a $4B valuation, we are shaping the future of AI. Our team includes top technologists from Meta, Google, Stanford, and beyond, driving innovation at the forefront of artificial intelligence.

Role Overview:
A leading U.S.-based technology company is hiring experienced C++ developers to enhance its next-generation AI-driven dialogue agents. Using the latest technology, the company focuses on creating open-ended, collaborative conversational AI with applications in education, entertainment, and general question-answering.

Responsibilities:

  • Review, improve, and validate AI-generated C++ code for quality and efficiency.
  • Troubleshoot complex coding issues and contribute to AI system enhancements.
  • Manage development cycles, priorities, and deadlines effectively.
  • Provide feedback, mentor developers, and foster a culture of innovation.

    Job Requirements:
  • Bachelor's or Master’s degree in Engineering, Computer Science, or equivalent experience.
  • 3+ years of experience as a software engineer with strong C/C++ skills.
  • Proven experience in leading teams or mentoring developers.
  • Strong problem-solving, strategic thinking, and communication skills

    Nice to Have:
  • Familiarity with large codebases (50K+ lines) and contributing to public GitHub repositories.
  • Experience using GitHub for version control and collaboration.
  • Knowledge of training LLM models and building scalable back-end components.

    Why This Opportunity Stands Out?
  • Engage with top-tier experts, expanding your professional network and expertise.
  • This is a contractual remote work opportunity without traditional job constraints.
  • Get rewarded with industry-standard salaries in USD.
  • Be part of groundbreaking projects that redefine the future of AI.

    Note: Shortlisted candidates may be required to complete a coding assessment as part of the selection process.
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1-10 employees
CC++
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