📋 Job Details at a Glance 📍 Location Remote — India 🏢 Company Fingerprint 👥 Experience 5+ years 🎓 Qualification 5+ years. Hands-on with Go, SQL, Redis, AWS, Git, CI/CD. Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Go SQL Redis AWS Git CI/CD Senior Data Scientist at Fingerprint — Full Details & How to Apply Fingerprint is seeking a Senior Data Scientist to enhance their Pro Identification Service using advanced data science techniques. This remote role requires 5+ years of experience and proficiency in Go , SQL , and AWS . As a key player in the technology sector, this position offers a unique chance to directly improve online fraud detection. The role of a Senior Data Scientist is increasingly vital in the technology landscape, especially as companies face growing challenges in fraud detection. With the rise of digital transactions, the demand for sophisticated data science solutions has surged, making this position at Fingerprint essential for enhancing security measures across various platforms. Fingerprint is recognized for its innovative approach to device intelligence for fraud detection, serving notable clients like Plaid , Dropbox , and Booking.com . Featured on the 2026 Forbes Best Startup Employers list, Fingerprint fosters a culture of innovation, making it an attractive workplace for skilled professionals. This role is ideal for candidates from the eligible batches of 2023, 2024, 2025, 2026 who possess 5+ years of experience, particularly those who are hands-on with Go, SQL, Redis, AWS, Git, CI/CD . A relevant technical qualification and demonstrated shipping experience are essential. The salary for this position is Not Disclosed . By joining Fingerprint , you will gain hands-on experience with technologies such as Go , SQL , Redis , and AWS , opening doors to advanced career opportunities in data science and machine learning. This role not only enhances your technical skills but also positions you for leadership roles in the future. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Senior Data Scientist at Fingerprint is to enhance the Fingerprint Pro Identification Service through advanced data science techniques, ensuring robust fraud detection and service accuracy. Lead the enhancement of the Fingerprint Pro Identification Service by applying advanced data science techniques to improve overall performance. Utilize Go and SQL to develop and optimize algorithms specifically for real-time fraud detection. Collaborate with engineering teams to implement machine learning models, enhancing service accuracy and reliability. Monitor and analyze data performance metrics to ensure the reliability of the identification service, using tools like AWS . Maintain and support the codebase, ensuring high quality and performance standards through Git version control. Document processes and improvements to facilitate knowledge sharing within the team, enhancing team efficiency. Troubleshoot and resolve issues related to data processing and model performance in production environments. This role fosters an ownership culture, allowing you to make a direct impact on the Fingerprint service and its users through your contributions. Required Skills & Technical Competencies The Senior Data Scientist role demands a strong skill profile in data science, particularly with a focus on Go , SQL , and AWS technologies. Technical Skills Go — advanced — essential for developing and optimizing algorithms in the fraud detection service. SQL — advanced — used for querying and managing data effectively within the identification service. AWS — advanced — important for deploying and scaling applications in a cloud environment. Redis — intermediate — utilized for enhancing performance in data caching and retrieval processes. Git — advanced — crucial for maintaining code quality and version control in collaborative projects. CI/CD — intermediate — employed to streamline deployment processes and improve development efficiency. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences where you applied these technologies effectively. Eligibility Criteria This role is designed for candidates with substantial experience and a relevant technical qualification in data science. Must possess a relevant technical qualification in data science or a related field. Eligible batches for this role include 2023 , 2024 , 2025 , and 2026 . Minimum of 5 years of hands-on experience in data science is required. Academic performance requirements are not specified in the job posting. Experience with projects, GitHub, internships, certifications, or portfolios is not explicitly required. Documentation & Portfolio Requirements Ensure your resume is well-structured, highlighting relevant experience and skills. Include specific projects that demonstrate your expertise in Go , SQL , and AWS . Pro tip: Tailor your application to highlight your direct contributions to projects involving fraud detection and machine learning models. Salary for Senior Data Scientist at Fingerprint 💰 Compensation Not Disclosed The advertised compensation for the Senior Data Scientist role at Fingerprint is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Senior Data Scientist Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with the job requirements. Recommended Courses & Resources Go — Mastering Go is essential for building scalable applications in this role. SQL — Proficiency in SQL is crucial for effective data manipulation and analysis. AWS — Understanding AWS services is vital for deploying and managing applications in the cloud. Git — Familiarity with Git is important for version control and collaboration in development projects. KodNest — This resource helps in honing your coding skills, particularly in data science applications. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating evidence of 5+ years of experience in data science — provide specific examples. ❌ Using a generic resume instead of tailoring it to the specific responsibilities listed in the job description — customize your resume for this role. ❌ Listing Go, SQL, or AWS without detailing how they were applied in previous roles or projects — include relevant experiences. ❌ Ignoring the requirement for 5+ years of experience and applying without meeting this criterion — ensure you meet the qualifications. ❌ Adding unrelated technologies or unsupported claims to increase ATS keywords without justification — stick to relevant skills. ❌ Failing to verify the official Apply URL and job details before submission — double-check all information. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Senior Data Scientist Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role. ATS Keywords to Include Data Scientist Go SQL AWS Redis CI/CD Machine Learning Fraud Detection Data Analysis Real-Time Processing Performance Monitoring Technical Strategy Resume Tips for This Role Highlight the 5+ years of experience in data science prominently on the resume. Emphasize proficiency in Go, SQL, and AWS, as these are critical for the role. Consider showcasing a project that involved real-time data processing or fraud detection. Use exact keywords from the job description naturally to align with ATS requirements. Avoid including unsupported claims or unrelated technologies that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated work experiences that do not align with the data science field. How to Apply for Senior Data Scientist at Fingerprint Apply Now — Fingerprint Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Fingerprint NexisGrow.com does not charge any fees for job applications. Fingerprint Fingerprint , founded in 2012 , operates as a fully remote technology company specializing in online fraud detection. With a global footprint, the company serves clients across various sectors, including notable names like Plaid , Dropbox , and Booking.com . The company has rapidly expanded its reach, employing a diverse workforce dedicated to combating online fraud. At the core of Fingerprint 's offerings is the Pro Identification Service, which leverages advanced device intelligence to enhance fraud detection capabilities. The company also utilizes cutting-edge technologies such as AWS and Redis to provide robust solutions tailored to client needs. These products are designed to empower enterprises in their fight against fraudulent activities. Fingerprint fosters a culture of innovation and collaboration, encouraging employees to engage in continuous learning and development. The company has been recognized for its commitment to employee well-being, receiving accolades for its inclusive work environment. Initiatives such as mentorship programs and skill development workshops are integral to the company’s ethos. Recently, Fingerprint has focused on enhancing its fraud detection capabilities through strategic partnerships and technology upgrades. The company has also secured funding to further develop its platform, ensuring it remains at the forefront of the industry. These advancements reflect Fingerprint 's dedication to staying ahead in the rapidly evolving tech landscape. For freshers in technology, Fingerprint offers a unique career launchpad, providing exposure to advanced data science techniques and real-world applications. The opportunity to collaborate with experienced professionals and work on impactful projects allows new employees to grow their skills significantly. This environment is ideal for those looking to build a successful career in the tech industry. Company Details Industry Technology Location Remote — India Connect With Us Careers Apply Now Website 🔗 fingerprint.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Senior Data Scientist at Fingerprint? Eligibility Tap to expand + Answer Candidates with 5+ years. Hands-on with Go, SQL, Redis, AWS, Git, CI/CD. Relevant technical qualification and demonstrated shipping experience and 5+ years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Go, SQL, Redis, AWS, Git. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: Not Disclosed. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Fingerprint? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Go, SQL, Redis, AWS, Git. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Senior Data Scientist interview? Preparation Tap to expand + Answer (1) Core concepts of Go, SQL, Redis, AWS, Git, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Fingerprint research, (5) Clear communication. ? What is the work culture like at Fingerprint? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Remote — India Browse all Tech jobs Latest Fresher jobs More jobs at Fingerprint Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. 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