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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Apply now

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
Career growth
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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
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

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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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
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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