📋 Job Details at a Glance 📍 Location Remote — India 🏢 Company SentiLink 👥 Experience Fresher 🎓 Qualification Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, Data Science, Machine Learning, Economics, Engineering, or Related Quantitative Field 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary USD $120,000–$220,000/year 🏢 Industry Technology 🛠 Key Skills Machine Learning Statistical Analysis Data Science Quantitative Research Algorithm Development Applied Scientist – PhD New Grad at SentiLink — Full Details & How to Apply SentiLink is seeking an Applied Scientist – PhD New Grad to contribute to innovative data solutions in a Remote — India setting. This role offers a lucrative salary range of USD $120,000–$220,000/year , making it an exceptional starting point for freshers looking to establish their careers in the tech industry. The demand for data-driven decision-making is surging, particularly in the technology sector where fraud prevention solutions are becoming increasingly vital. As an Applied Scientist – PhD New Grad at SentiLink , you will play a crucial role in enhancing fraud detection algorithms, directly impacting the company's growth trajectory and user trust. Founded in 2014 , SentiLink has rapidly expanded to over 100 employees and is recognized for its advanced identity verification technology. This growth reflects the company's focus on innovation and research, making it an attractive employer for those looking to dive into the world of data science and machine learning. We encourage 2024, 2025, 2026 graduates with a Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, Data Science, Machine Learning, Economics, Engineering, or Related Quantitative Field to apply. This role is designed for fresher experience candidates eager to leverage their academic background in a practical setting, all while enjoying a competitive salary of USD $120,000–$220,000/year . In this role, you will work with essential skills such as Machine Learning , Statistical Analysis , Data Science , Quantitative Research , and Algorithm Development . The experience gained here will open doors to advanced career opportunities, allowing you to rapidly ascend in your field and contribute to cutting-edge machine learning applications. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes 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 Applied Scientist – PhD New Grad at SentiLink will focus on developing advanced machine learning models to enhance fraud detection capabilities, directly impacting the company's technology solutions. Develop and implement machine learning models using Python and TensorFlow to improve fraud detection accuracy. Conduct statistical analysis with R to identify trends in large datasets, enhancing data-driven decision-making. Collaborate with the engineering team to integrate algorithms into production systems, ensuring seamless deployment of solutions. Analyze model performance metrics, targeting a minimum accuracy improvement of 10% over existing solutions. Take ownership of research projects, presenting findings to stakeholders to influence product strategy effectively. Document methodologies and results in comprehensive reports, facilitating knowledge sharing within the SentiLink team. Engage with clients to understand their needs, providing data-driven insights for tailored solutions. This role emphasizes ownership and direct impact, allowing new graduates to contribute significantly to SentiLink 's mission in fraud prevention technology. Required Skills & Technical Competencies The ideal candidate will possess a strong technical skill profile essential for developing innovative solutions in fraud detection. Technical Skills Machine Learning — advanced — essential for developing predictive models that drive SentiLink 's fraud prevention technology. Statistical Analysis — intermediate — crucial for interpreting data and validating model effectiveness using R and Python . Data Science — advanced — applied daily to extract insights from complex datasets, ensuring data-driven decision-making. Algorithm Development — advanced — involves creating and optimizing algorithms specific to fraud detection using TensorFlow . Quantitative Research — intermediate — evaluated through problem-solving tasks and project outcomes, ensuring effective application of theoretical knowledge. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency in each area. Eligibility Criteria This role is designed for recent graduates with a strong foundation in quantitative analysis and a keen interest in machine learning. Candidates must possess a Bachelor’s , Master’s , or PhD in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Eligible batches include 2024 , 2025 , and 2026 graduates. This position is specifically for new graduates, emphasizing innovative thinking and fresh perspectives. A minimum academic performance of 7.0 CGPA is preferred to ensure a strong analytical background. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, including your educational background, relevant projects, and technical skills. Pro tip: Highlight specific projects in your portfolio that demonstrate your expertise in machine learning and statistical analysis to stand out in your application. Salary for Applied Scientist – PhD New Grad at SentiLink 💰 Compensation USD $120,000–$220,000/year The advertised compensation for the Applied Scientist – PhD New Grad role at SentiLink is USD $120,000–$220,000/year . 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 Applied Scientist – PhD New Grad Upskilling with the right resources significantly enhances your chances of being selected for this role by demonstrating your commitment and expertise. Recommended Courses & Resources Machine Learning — Essential for mastering algorithms and predictive modeling in data science. Statistical Analysis — Crucial for interpreting data and making informed decisions based on quantitative research. KodNest — Provides hands-on coding experience, vital for algorithm development and data manipulation. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Highlight relevant skills and experiences specific to the role. ❌ Neglecting quantitative achievements — Include metrics in previous projects to showcase impact. ❌ Overlooking collaboration — Showcase teamwork in technical environments. ❌ Submitting a generic cover letter — Address SentiLink's specific needs in your application. ❌ Ignoring application deadlines — Follow application instructions carefully to avoid issues. ❌ Not preparing for technical interviews — Practice relevant coding problems to enhance readiness. Before You Apply — Checklist ✅ Research SentiLink's products and recent news to tailor your application. ✅ Update your resume to reflect relevant skills and experiences. ✅ Prepare a portfolio showcasing your work in machine learning and data analysis. ✅ Review the job description to ensure you meet all eligibility criteria. ✅ Gather references who can speak to your technical abilities. ✅ Practice common interview questions related to data science and machine learning. ✅ Ensure your LinkedIn profile is up-to-date and aligns with your resume. ✅ Submit your application well before the deadline to avoid last-minute issues. Resume Tailoring & ATS Keywords for Applied Scientist – PhD New Grad Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role, as many companies use automated systems to screen applications. ATS Keywords to Include Applied Scientist Machine Learning Statistical Analysis Data Science Algorithm Development Quantitative Research Python R TensorFlow Fraud Detection Data Visualization Remote Work Resume Tips for This Role Highlight relevant academic projects that demonstrate your expertise in machine learning and data analysis. Emphasize teamwork and collaboration experiences, particularly in technical environments. Include links to your portfolio or GitHub showcasing practical applications of your skills. Optimize your resume for ATS by using keywords from the job description, especially technical skills. Avoid including unrelated work experience that does not showcase your quantitative skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do not include unrelated work experience that does not demonstrate your quantitative skills for this role. How to Apply for Applied Scientist – PhD New Grad at SentiLink Apply Now — SentiLink Visit the application portal and create an account to begin the application process. Upload your resume, ensuring it highlights relevant skills and experiences tailored to the role. Fill out the application form accurately, paying attention to detail. After submission, expect a confirmation email regarding your application status. Track your application progress through the portal for updates. Applications reviewed on a rolling basis — early submission recommended. Apply Now — SentiLink NexisGrow.com does not charge any fees for job applications. SentiLink SentiLink was founded in 2014 and is headquartered in San Francisco, CA . With a global presence, the company operates in over 30 countries , focusing on identity verification and fraud prevention. As a leader in its field, SentiLink employs a diverse workforce dedicated to tackling fraud across various industries. The core offerings of SentiLink include its proprietary identity verification platform, which utilizes advanced machine learning algorithms to detect fraudulent activities. The company’s solutions are designed to serve clients in sectors such as finance, e-commerce, and telecommunications, ensuring robust protection against identity theft. SentiLink has received high ratings on Glassdoor, reflecting its collaborative culture and commitment to employee development. The company actively promotes professional growth through mentorship programs and training workshops, earning recognition as one of the best workplaces in technology. This focus on employee satisfaction contributes to a positive and productive work environment. Recently, SentiLink secured $100 million in Series C funding , which will be directed towards enhancing its technology and expanding into new markets. This significant investment underscores the company’s commitment to innovation and its strategic vision for future growth in the identity verification space. For freshers in technology, SentiLink offers a unique career launchpad. Working alongside industry leaders, new graduates can engage in impactful projects that shape the future of fraud prevention. The company’s emphasis on cutting-edge technology and employee development makes it an ideal place for aspiring professionals to build their careers. Company Details Industry Technology Location Remote — India Connect With Us Careers Apply Now Website 🔗 jobs.ashbyhq.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Applied Scientist – PhD New Grad at SentiLink? Eligibility Tap to expand + Answer Candidates with Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Mathematics, Data Science, Machine Learning, Economics, Engineering, or Related Quantitative Field and Fresher experience are eligible. Eligible batches: 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Machine Learning, Statistical Analysis, Data Science, Quantitative Research, Algorithm Development. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: USD $120,000–$220,000/year. Final offer depends on skills, experience, and interview performance. ? What is the interview process at SentiLink? 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: Machine Learning, Statistical Analysis, Data Science, Quantitative Research, Algorithm Development. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Applied Scientist – PhD New Grad interview? Preparation Tap to expand + Answer (1) Core concepts of Machine Learning, Statistical Analysis, Data Science, Quantitative Research, Algorithm Development, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) SentiLink research, (5) Clear communication. ? What is the work culture like at SentiLink? 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 SentiLink Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com