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.

Find remote software jobs with hundreds of Turing clients

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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Why join Turing?

Elite US Jobs

1Elite US Jobs

Turing’s developers earn better than market pay in most countries, working with top US companies.
Career Growth

2Career Growth

Grow rapidly by working on challenging technical and business problems on the latest technologies.
Developer success support

3Developer success support

While matched, enjoy 24/7 developer success support.

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Turing.com lists out the do’s and don’ts behind a great resume
to help you find a top remote data scientist job.

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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.

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.

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.

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

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

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.

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 Turing.com. 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.

View more FAQs

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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
Staff Software Engineer, AI


About the Client

Founded by engineers from  Stanford, Cisco Meraki, and Samsara, we are one of the fastest-growing Video AI companies in the U.S., transforming standard cameras into powerful AI tools that elevate safety, security, and operations for businesses nationwide. In just four years, we have processed more than 1  billion hours of video, and today ingest more daily new videos than  YouTube. Our industry-leading Video AI agents are changing physical operations and defining what video AI can accomplish for physical  operations. We are challenging and disrupting the $30 billion video surveillance market with a plug-and-play camera agnostic solution that is expanding use-cases beyond traditional security. Our approach has fueled fast adoption across 17 industries, powering nearly 1000  businesses and over 70,000 camera feeds. Our exceptionally talented team has created a high growth trajectory that has attracted almost $100 million in investment from top venture firms, including  Redpoint, Scale Venture Partners, Bessemer, StepStone and Qualcomm.



About the Role

We are looking for like-minded builders. We are an extremely passionate and ambitious team building a company designed to outlast our lifetime. No  matter the role or level, we’re looking for more teammates who share the same  high-performance mindset:

  • Relentless Drive: You have extreme ambition and something to prove. Challenges fuels you. Building isn’t just what you do; it’s who you are.
  • Builder’s Mentality: You  thrive on creating new solutions, not maintaining the status quo. If  you've founded a company, been employee number 1 - 20, or have run a  venture for over two years, we’re especially excited to meet you!
  • High Hustle, High Humility: You combine high IQ with high EQ, a low ego, and an unyielding work ethic that pushes you to be among the best at what you do.

Our cultural pillars guide how we operate. We:

  • Spend Strategically. We maximize resources and minimize waste.
  • Push for Progress. We make decisions, move fast, and celebrate action.
  • Obsess Over Customers: We remove friction and add value to create delight.
  • Trust Our Team: Respect, trust and collaboration are non-negotiable.
  • Act Like Owners: We say what we’ll do, and we do what we say, taking pride and responsibility in our work.
  • Never Stop Having Fun: We’re creating something epic, and we’re having fun doing it.


Who you are

  • You are self-motivated and accountable. You  excel with ownership and autonomy, producing high quality outcomes with  minimal direction and oversight. You have strong intuition on what's  most important to work on, and can focus on the most critical items.
  • You are a balanced visionary. You  contribute to strategy with an ability to see the big picture, while  also appreciating details with a drive to make meaningful, hands-on  contributions.
  • You are a humble expert. You  bring strong expertise and nuanced perspectives on the latest AI  technology, while staying open to new ideas and new ways of doing  things. You focus on getting it right in a team setting, rather than  being right.
  • You strive for the next level. You’re ready to stretch your impact and influence and are ready to take on larger scale challenges and/or act as a mentor.
  • You bring rich AI experience. You  have a strong background in AI, ideally with video processing  experience, however, experienced practitioners in AI can adapt as  necessary. You understand classic deep learning techniques, from YOLO to  transformer models to linear classifiers. Yet, you also have experience  with the latest AI foundation models, from embeddings to LLMs and  prompt engineering.
  • You are a creative thinker and problem solver. You  naturally think outside the box to solve new sets of customer problems,  even with few resources. You have a keen eye and technical frameworks  for setting an AI technical direction based on customer context.
  • You bring high-scale technical excellence. You  deeply understand software design, architecture, big-data processing  pipelines, and best practices on systems design + scalability, code  quality, and data/model design. You appreciate the finer details, such  as edge model optimizations, vector indexes and how they work, or how to  design a maintainable data schema. You’ve designed and led complex  systems, shaped multi-team architectures, and created frameworks that  prevent defects and improve validation across products.
  • You’re a debugging and operational excellence expert. You adopt observability tools, tackle unfamiliar codebases, and develop  resources like runbooks to prevent issues. You have an eye for  impending technical issues or optimization opportunities, and  architectural improvements that could be made to increase overall  engineering productivity.
  • You’re a technical leader. You  understand the skill and personal strengths of team members,  effectively mentoring them and placing engineers into the projects that  make them and the company successful
  • You bring 6+ years in software engineering, with significant expertise in AI plus a strong track record in high-quality system delivery.


Responsiilities

You’ll  play a critical role in advancing our capabilities, using your AI  expertise to drive innovative solutions for businesses with physical  environments—from manufacturing plants to car dealerships. Leading the  design and integration of AI-driven features, you’ll elevate both new  and existing products, focusing on scalable, real-world applications  that improve safety, operations, and efficiency. Working closely with  cross-functional teams, you’ll apply cutting-edge AI techniques to  transform video data into actionable insights that empower our clients.  By setting standards in AI reliability and performance, you’ll ensure  Spot AI’s product suite consistently delivers high-impact outcomes.



What excites you:

  • Working  on and thinking about the latest models across multiple domains, such  as Dinov2, CLIP, GPT4o/Gemini. Applying these models to real world  physical problems to enhance safety, operations, and efficiency.
  • Working  with a datastream of over 200k datapoints and embeddings a second,  wrangling this into actionable insights with fast and accurate queries.
  • Helping  to democratize and educate about the latest foundational models to  customers and team members, helping them share your vision of what AI  can do for the world.
  • Working with a global, several thousand  node distributed hybrid edge-cloud, processing millions of hours of  video a day.A place that gives you the room to learn from failure while  driving excellence.
  • Advancing our AI’s product capabilities  by applying cutting-edge AI techniques, helping transform video data  into powerful, real-world solutions for our clients.
  • Designing  and implementing AI-driven features across new and existing products,  with a focus on scalability and tangible value for diverse industries.
  • Diving  into complex challenges in video intelligence, using your expertise to  bring actionable insights to businesses in physical environments.
  • Collaborating  closely with cross-functional teams to build tools and frameworks that  set a new standard for AI performance and reliability in our industry.
  • Mentoring and guiding other engineers to foster collaboration and innovation that increase project impact.
  • A culture where hard work that drives great outcomes is expected, celebrated, and rewarded.
  • A place where you can make industry-wide impact and contribute to one of the most exciting technologies of our time

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • 6 hours of overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Business Services
11-50 employees
PythonPyTorchTensorflow
briefcase
Senior Java Engineer – Snowflake Integration

Job Title: Senior Java Engineer – Snowflake Integration

Experience: 6–10 Years
Location: Gurugram
Work Mode: Hybrid (3 Days Work From Office)

Job Overview

We are looking for a Senior Java Engineer with strong experience in Java 17+, backend system development, and Snowflake integration, to build and maintain enterprise-grade data and transaction systems in the BFSI domain. The role involves working on high-scale, secure, and compliant platforms handling critical financial data.

Key Responsibilities

  • Design, develop, and maintain scalable backend services using Java 17+
  • Integrate Java applications with Snowflake Data Cloud for analytics and reporting use cases
  • Build and optimize data pipelines between transactional systems and Snowflake
  • Design and consume RESTful APIs for internal and external integrations
  • Ensure data security, governance, and compliance as per BFSI standards
  • Optimize application performance, scalability, and reliability
  • Collaborate with data engineering, DevOps, and product teams
  • Participate in architecture discussions and technical design reviews
  • Support production systems and perform root cause analysis when required

Mandatory Technical Skills

Core Java & Backend

  • Strong hands-on experience with Java 17 or higher
  • Deep understanding of OOP, multithreading, concurrency, and JVM internals
  • Experience with Spring / Spring Boot
  • Strong experience building RESTful microservices
  • Experience with Hibernate / JPA

Snowflake & Data Integration

  • Hands-on experience integrating applications with Snowflake
  • Strong understanding of:
    • Snowflake architecture and data storage concepts
    • Virtual warehouses, databases, schemas
  • Experience using Snowflake connectors (JDBC/ODBC) from Java
  • Knowledge of data ingestion and transformation patterns
  • Understanding of SQL optimization in Snowflake

Databases

  • Strong experience with RDBMS (PostgreSQL / Oracle / MySQL)
  • Advanced SQL skills and performance tuning
  • Experience handling large datasets and analytical queries

Cloud, DevOps & Tools

  • Experience with cloud platforms (AWS / Azure / GCP)
  • Familiarity with Docker and containerized deployments
  • Experience with CI/CD pipelines
  • Working knowledge of Linux environments
  • Experience with version control systems (Git)

BFSI Domain Experience (Mandatory)

  • Proven experience working in Banking, Financial Services, or Insurance
  • Understanding of:
    • Transaction processing systems
    • Data privacy and regulatory compliance
    • Security standards (encryption, access control, auditing)
  • Experience working on high-availability, mission-critical systems

Soft Skills

  • Strong problem-solving and analytical skills
  • Ability to work independently with minimal supervision
  • Excellent communication skills
  • Experience collaborating with cross-functional teams
  • Ownership mindset and attention to detail

Good to Have

  • Experience with event-driven architectures (Kafka / MQ)
  • Exposure to data warehousing or analytics platforms
  • Experience with Agile / Scrum environments
  • Knowledge of financial reporting or risk systems

Ideal Candidate Profile

  • 6–10 years of backend development experience
  • Strong Java 17+ expertise with enterprise application exposure
  • Hands-on Snowflake integration experience
  • Solid BFSI domain background
  • Willingness to work 3 days from Gurugram office
Finance
10K+ employees
Core JavaSpring BootOOP+ 2
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Turing books $87M at a $1.1B valuation to help source, hire and manage engineers remotely
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